Going Green Essay

Our condition is deteriorating step by step. It’s getting increasingly hard for our families to remain sound with all the terrible things we are around consistently. We are influenced by our condition, and more individuals are getting more debilitated and more broken down. This could influence our families and our future one day. The legislature has been making answers for take care of this issue in the earth. Going â€Å"green† is maturing into a national wonder, where dress shops are packing your natural shirts into biodegradable shopping sacks. This gets powerful in different areas in the Philippines. One model is the Tagaytay City. They are currently against the utilization of plastics. Since nature has been contaminated because of the consistent consuming of non-biodegradable materials, the utilization of plastics has been dodged. They have created eco-packs that will be utilized by the shoppers rather than the conventional plastic sacks utilized during the past occasions. This standard has been actualized in better places and soon, the nation will truly be â€Å"NO TO PLASTIC!† With that, we can truly say that it’s increasingly fun in the Philippines! There can be an answer in helping our condition become better. We would all be able to spare the Mother Earth. On the off chance that we connect with individuals who don’t care about our condition, we could change their perspective of things. We could reveal to them how awful things are in our reality and that could change what their imminent on things. Let us discipline them. Leave us alone participative as the world makes strides toward environmental friendliness. Peruse more: Essay About Tourism in the Philippines

Porter’s notes

Porter’s notes Doormen takes note of that ‘firms, not singular countries, contend in global markets.How does this announcement help to clarify a portion of the significant difficulties confronting MNEs .How do the determinants of national upper hand help clarify how organizations can keep up their monetary intensity? Watchmen note that organizations and not singular countries contend in the worldwide market is an explanation that is legitimate and can't be overemphasized. The contribution of countries in the universal market is simply to gauge and to legitimize their reality as far as the complete yield in term of creation from the country. A country with a high creation rate will be evaluated high as far as its GDP which is the market estimation of the aggregate sum of merchandise and ventures made inside the fringes of that specific nation in a schedule year. This causes countries to urge firms to build up in their nations while they to give favorable condition to such firms to work. These organizations are consistently recipient to the individuals of the country by giving jobs, products and ventures, pay to the legislature, and in particular increment the GDP of the country. The way of life of individuals in the country increments by a sensible salary for every capita. Notwithstanding, firms not singular country contends in worldwide market (Porters; upper hand) and faces different difficulties to have an upper hand over different firms in a similar industry. Seriousness is regularly mistaken for profitability. Efficiency alludes to the inner ability of an association, while seriousness alludes to the general situation of an association against its rivals. These two significant ideas are frequently befuddled and reciprocally utilized. For instance, in his well known book, The Competitive Advantage of Nations. Doorman (1990, p. 6) says that the main significant idea of intensity at the national level is national profitability. Intensity may likewise have an unmistakably unique importance at various degrees of examination †item, firm, industry, and country. Watchman (1990, p. 33) says that the fundamental unit of investigation for understanding rivalry is the â€Å"industry,† while the title of his book alludes to â€Å"nations.† He likewise says that organizations, not countries, contend in worldwide markets. (http://www.emeraldinsight.com/10.1108/eb046319 ) To develop to the degree of turning into a MNE, the organization more likely than not accomplished to a degree in its nation of origin before broadening the creation/administrations to the next nation. In current worldwide rivalry, firms need not to be restricted to their home country; they can contend with worldwide techniques in which exercises are situated in numerous nations (Michael .E. Watchman, The Competitive Advantage of Nations). In accomplishing this, parcel of things must be set up and different standards with respect to area of an industry must be thought of. There are different difficulties been looked by global organizations on the whole and first, I will jump at the chance to clarify what a worldwide organization is, and what it involves for an organization to be a global. In addition, I will get a kick out of the chance to investigate reasons why organizations go global and considering the significant difficulties they should survive, utilizing commonplace models. Mullti-national Corporation (MNC) or transnational organization (TNC), additionally called global venture (MNE), is a company or undertaking that oversees creation or conveys benefits in more than one nation. Global partnerships (MNCs) are organizations that own or control creation or administration offices outside the nation in which they are based.(United Nations, 1973, P. 23) The ascent of Globalization has constrained and empowered more organizations to wander abroad so as to flourish for greater productivity: greater market, less expensive crude materials, and lower work costs. In any case, MNCs have likewise seen that the more nations they enter, the more moral issues show up. Best case scenario, in any event, when MNCs are managing one just one culture, they are as of now confronting moral challenges; as they experience at least two distinct societies, it would turn out to be incredibly problematical. http://www.cheathouse.com/article/essay_view.php?p_essay_id=50620#ixzz0fA3KI 9ss A portion of the significant difficulties firms faces incorporates; monetary shortcoming, value rivalry, psychological oppression, higher cost, ecological concern, change of government/guideline issues, medical issues/danger, government arrangements and so on . By following the globalization crusade, worldwide organizations flexibly chains can be advanced, significant expenses work power can be changed and potential markets can be extended. Considerably, upper hands of organizations can be reinforced in a worldwide market. Something else, a few issues are met in the changed conditions in outside nations simultaneously. The changed situations can be separated into four principle perspectives, to be specific, social condition, legitimate condition, financial condition and political framework issues. All the changed conditions make issues to global organizations. Specifically, issues which are brought about by changed culture condition are the most genuine part of maintaining a worldwid e business. . (http://www.oppapers.com/articles/Discuss-Management-Problems-Facing-Multinational-Companies/120224) Firms in different businesses faces various difficulties whether local or internatonal, this could be clarified with the five serious power where all the difficulties are epitomized. The five serious powers as per Porters are: The danger of new participants The danger of substitute items or administrations The dealing intensity of providers The dealing intensity of purchasers The contention between the current contenders. These five serious powers decide the degree of seriousness and the structure of different ventures. Doormen five powers is a system for the business investigation and business technique advancement created by Michael E. Doorman of Harvard Business School in 1979. It utilizes ideas creating, Industrial Organization (IO) financial aspects to infer five powers that decide the serious force and subsequently appeal of a market. Engaging quality in this setting alludes to the general business benefit. An ugly industry is one where the mix of powers acts to drive down by and large benefit. An extremely ugly industry would be one moving toward unadulterated rivalry. Three of Porters five powers allude to rivalry from outer sources while the staying two are inner dangers. For legitimate and subjective comprehension, it is valuable to utilize Porters five powers related to SWOT investigation (Strengths, Weaknesses, Opportunities, and Threats). Five Forces Analysis accept that there are five significant powers that decide serious force in a circumstance. These are: Provider Power: Here you evaluate how simple it is for providers to drive up costs. This is driven by the quantity of providers of each key information, the uniqueness of their item or administration, their quality and authority over you, the expense of changing starting with one then onto the next, etc. The less the provider decisions you have, and the more you need providers help, the more impressive your providers are. Purchaser Power: Here you approach yourself how simple it is at purchasers to drive costs down. Once more, this is driven by the quantity of purchasers, the significance of every individual purchaser to your business, the expense to them of changing from your items and administrations to those of another person, etc. On the off chance that you manage not many, ground-breaking purchasers, they are regularly ready to direct terms to you. Serious Rivalry: What is significant here is the number and capacity of your rivals on the off chance that you have numerous contenders, and they offer similarly appealing items and administrations, at that point youll in all likelihood have little force in the circumstance. In the event that providers and purchasers dont get a decent arrangement from you, theyll go somewhere else. Then again, in the event that nobody else can do what you do, at that point you can regularly have huge quality. Danger of Substitution: This is influenced by the capacity of your clients to locate an alternate method of doing what you accomplish for instance, in the event that you flexibly a one of a kind programming item that mechanizes a significant procedure, individuals may substitute by doing the procedure physically or by re-appropriating it. On the off chance that replacement is simple and replacement is practical, at that point this debilitates your capacity. Danger of New Entry: Power is likewise influenced by the capacity of individuals to enter your market. In the event that it costs little in time or cash to enter your market and contend successfully, if there are hardly any economies of scale set up, or on the off chance that you have little security for your key innovations, at that point new contenders can rapidly enter your market and debilitate your position. On the off chance that you have solid and sturdy hindrances to passage, at that point you can protect an ideal position and exploit it. http://www.mindtools.com/pages/article/newTMC_08.htm Countries job also couldn't be sabotaged in any global business. Utilizing thePEST examination (Political.Economical, Social and Technological), one will see that organizations/businesses can just thrive in regions where there is a settled political, financial, social, and innovative action. Thinking about the instance of dell in Brazil, dell was at a state of difficulty due to policy centered issues (change of government). For global organizations, political riskrefers to the dangers been confronted when a host nation l settle on political choices thatwill demonstrate to effectsly affect the multinationals benefits or potentially objectives. Unfriendly political activities can run from very detrimental,such as broad annihilation because of insurgency, to those of a progressively money related nature, for example, the formation of laws that forestall the development of capital. For example,after Fidel Castros government assumed responsibility for Cubain 1959,hundreds of a large numbe r of dollars worth of American-ownedassets and compan

The Origins of Psychology History Through the Years

The Origins of Psychology History Through the Years History and Biographies Print The Origins of Psychology From Philosophical Beginnings to the Modern Day By Kendra Cherry facebook twitter Kendra Cherry, MS, is an author, educational consultant, and speaker focused on helping students learn about psychology. Learn about our editorial policy Kendra Cherry Medically reviewed by Medically reviewed by Steven Gans, MD on August 15, 2017 Steven Gans, MD is board-certified in psychiatry and is an active supervisor, teacher, and mentor at Massachusetts General Hospital. Learn about our Medical Review Board Steven Gans, MD Updated on March 09, 2019 More in Psychology History and Biographies Psychotherapy Basics Student Resources Theories Phobias Emotions Sleep and Dreaming In This Article Table of Contents Expand Importance of History Beginnings of Psychology A Separate Discipline First School of Thought Functionalism of James Psychoanalysis Emerges Rise of Behaviorism Third Force in Psychology Cognitive Psychology Psychology Grows Where Are the Women? View All Back To Top While the psychology of today reflects the disciplines rich and varied history, the origins of psychology differ significantly from contemporary conceptions of the field. In order to gain a full understanding of psychology, you need to spend some time exploring its history and origins. How did psychology originate? When did it begin? Who were the people responsible for establishing psychology as a separate science? Why Study Psychology History? Contemporary psychology is interested in an enormous range of topics, looking at human behavior and mental process from the neural level to the cultural level. Psychologists study human issues that begin before birth and continue until death. By understanding the history of psychology, you can gain a better understanding of how these topics are studied and what we have learned thus far. From its earliest beginnings, psychology has been faced with a number questions. The initial question of how to define psychology helped establish it as a science separate from physiology and philosophy. Additional questions that psychologists have faced throughout history include: What topics and issues should psychology be concerned with?What research methods should be used to study psychology?Should psychologists use research to influence public policy, education, and other aspects of human behavior?Is psychology really a science?Should psychology focus on observable behaviors, or on internal mental processes? The Beginnings of Psychology: Philosophy and Physiology While psychology did not emerge as a separate discipline until the late 1800s, its earliest history can be traced back to the time of the early Greeks. During the 17th-century, the French philosopher Rene Descartes introduced the idea of dualism, which asserted that the mind and body were two entities that interact to form the human experience. Many other issues still debated by psychologists today, such as the relative contributions of nature vs. nurture, are rooted in these early philosophical traditions. So what makes psychology different from philosophy? While early philosophers relied on methods such as observation and logic, today’s psychologists utilize scientific methodologies to study and draw conclusions about human thought and behavior. Physiology also contributed to psychology’s eventual emergence as a scientific discipline. Early physiological research on the brain and behavior had a dramatic impact on psychology, ultimately contributing to applying scientific methodologies to the study of human thought and behavior. Psychology Emerges as a Separate Discipline During the mid-1800s, a German physiologist named Wilhelm Wundt was using scientific research methods to investigate reaction times. His book published in 1874, Principles of Physiological Psychology, outlined many of the major connections between the science of  physiology and the study of human thought and behavior. He later opened the world’s first psychology lab in 1879 at the University of Leipzig. This event is generally considered the official start of psychology as a separate and distinct scientific discipline. How did Wundt view psychology? He perceived the subject as the study of human consciousness and sought to apply experimental methods to studying internal mental processes. While his use of a process known as introspection is seen as unreliable and unscientific today, his early work in psychology helped set the stage for future experimental methods. An estimated 17,000 students attended Wundt’s psychology lectures, and hundreds more pursued degrees in psychology and studied in his psychology lab. While his influence dwindled as the field matured, his impact on psychology is unquestionable. Structuralism Becomes Psychology’s First School of Thought Edward B. Titchener, one of Wundt’s most famous students, would go on to found psychology’s first major school of thought. According to the structuralists, human consciousness could be broken down into smaller parts. Using a process known as introspection, trained subjects would attempt to break down their responses and reactions to the most basic sensation and perceptions. While structuralism is notable for its emphasis on scientific research, its methods were unreliable, limiting, and subjective. When Titchener died in 1927, structuralism essentially died with him. The Functionalism of William James Psychology flourished in America during the mid- to late-1800s. William James emerged as one of the major American psychologists during this period and publishing his classic textbook, The Principles of Psychology, established him as the father of American psychology. His book soon became the standard text in psychology and his ideas eventually served as the basis for a new school of thought known as functionalism. The focus of functionalism was about how behavior actually works to help people live in their environment. Functionalists utilized methods  such as direct observation to study the human mind and behavior. Both of these early schools of thought emphasized human consciousness, but their conceptions of it were significantly different. While the structuralists sought to break down mental processes into their smallest parts, the functionalists believed that consciousness existed as a more continuous and changing process. While functionalism quickly faded a separate school of thought, it would go on to influence later psychologists and theories of human thought and behavior. The Emergence of Psychoanalysis Up to this point, early psychology stressed conscious human experience. An Austrian physician named  Sigmund Freud  changed the face of psychology in a dramatic way, proposing a  theory of personality  that emphasized the importance of the  unconscious mind. Freud’s clinical work with patients suffering from hysteria and other ailments led him to believe that early childhood experiences and unconscious impulses contributed to the development of adult personality and behavior. In his book  The Psychopathology of Everyday Life Freud detailed how these unconscious thoughts and impulses are expressed, often through slips of the tongue (known as  Freudian slips) and  dreams. According to Freud, psychological disorders are the result of these unconscious conflicts becoming extreme or unbalanced. The  psychoanalytic theory  proposed by Sigmund Freud had a tremendous impact on 20th-century thought, influencing the mental health field as well as other areas including art, literature, and popular culture. While many of his ideas are viewed with skepticism today, his influence on psychology is undeniable. How Psychoanalysis Influenced the Field of Psychology The Rise of Behaviorism Psychology changed dramatically during the early 20th-century as another school of thought known as  behaviorism  rose to dominance. Behaviorism was a major change from previous theoretical perspectives, rejecting the emphasis on both the  conscious and unconscious mind. Instead, behaviorism strove to make psychology a more scientific discipline by focusing purely on observable behavior. Behaviorism had its earliest start with the work of a Russian physiologist named  Ivan Pavlov. Pavlovs research on the digestive systems of dogs led to his discovery of the  classical conditioning  process, which proposed that behaviors could be learned via conditioned associations. Pavlov demonstrated that this learning process could be used to make an association between an environmental stimulus and a naturally occurring stimulus. An American psychologist named  John B. Watson  soon became one of the strongest advocates of behaviorism. Initially outlining the basic  principles of this new school of thought in his 1913 paper  Psychology as the Behaviorist Views It, Watson later went on to offer a definition in his classic book  Behaviorism  (1924), writing: Behaviorism...holds that the subject matter of human psychology  is the behavior of the human being.  Behaviorism claims that consciousness is neither a definite nor a usable concept. The behaviorist, who has been trained always as an experimentalist, holds, further, that belief in the existence of consciousness goes back to the ancient days of superstition and magic. The impact of behaviorism was enormous, and this school of thought continued to dominate for the next 50 years. Psychologist  B.F. Skinner  furthered the behaviorist perspective with his concept of  operant conditioning, which demonstrated the effect of punishment and reinforcement on behavior. While behaviorism eventually lost its dominant grip on psychology, the basic principles of behavioral psychology are still widely in use today. Therapeutic techniques such as  behavior analysis, behavioral modification, and token economies are often utilized to help children learn new skills and overcome maladaptive behaviors, while conditioning is used in many situations ranging from parenting to education. The Third Force in Psychology While the first half of the 20th century was dominated by psychoanalysis and behaviorism, a new school of thought known as  humanistic psychology  emerged during the second half of the century. Often referred to as the third force in psychology, this theoretical perspective emphasized conscious experiences. American psychologist  Carl Rogers  is often considered to be one of the founders of this school of thought. While psychoanalysts looked at unconscious impulses and behaviorists focused on environmental causes, Rogers believed strongly in the power of free will and self-determination. Psychologist  Abraham Maslow  also contributed to humanistic psychology with his famous hierarchy of needs  theory of human motivation. This theory suggested that people were motivated by increasingly complex needs. Once the most basic needs are fulfilled, people then become motivated to pursue higher level needs. How Humanistic Theories Are Used in Psychology Cognitive Psychology During the 1950s and 1960s, a movement known as the cognitive revolution began to take hold in psychology. During this time, cognitive psychology began to replace psychoanalysis and behaviorism as the dominant approach to the study of psychology. Psychologists were still interested in looking at observable behaviors, but they were also concerned with what was going on inside the mind.   Since that time, cognitive psychology has remained a dominant area of psychology as researchers continue to study things such as perception, memory, decision-making, problem-solving, intelligence, and language. The introduction of brain imaging tools such as MRI and PET scans have helped improve the ability of researchers to more closely study the inner workings of the human brain. Cognitive Psychology Psychology Continues to Grow As you have seen in this brief overview of psychology’s history, this discipline has seen dramatic growth and change since its official beginnings in Wundt’s lab. The story certainly does not end here. Psychology has continued to evolve since 1960 and new ideas and  perspectives  have been introduced. Recent research in psychology looks at many aspects of the human experience, from the biological influences on behavior to the impact of social and cultural factors. Today, the majority of psychologists do not identify themselves with a single school of thought. Instead, they often focus on a particular specialty area or perspective, often drawing on ideas from a range of theoretical backgrounds. This eclectic approach has contributed new ideas and theories that will continue to shape psychology for years to come. From 1878 to Today: A Timeline of History of Modern Psychology Where Are All the Women in Psychology History? As you read through any history of psychology, you might be particularly struck by the fact that such texts seem to center almost entirely on the theories and contributions of men. This is not  because women had no interest in the field of psychology, but is largely due to the fact that women were excluded from pursuing academic training and practice during the early years of the field. There are a number of women who made important contributions to the early history of psychology, although their work is sometimes overlooked.   A few pioneering women psychologists included: Mary Whiton Calkins, who  rightfully earned a doctorate degree from Harvard, although the school refused to grant her the degree because she was a woman. She studied with other major thinkers of the day including William James, Josiah Royce, and Hugo Munsterberg. Despite the obstacles she faced, she went on to become the first woman president of the American Psychological Association.  Anna Freud, who  made important contributions to the field of psychoanalysis. She described many of the defense mechanisms and is known as the founder of child psychoanalysis. She also had an influence on other psychologists including Erik Erikson.Mary Ainsworth, who was a developmental psychologist who made important contributions to our understanding of attachment. She developed a technique for studying child and caregiver attachments known as the Strange Situation assessment. A Word From Verywell In order to understand how psychology became the science that it is today, it is important to learn more about some of the historical events that have influenced its development. While some of the theories that emerged during the earliest years of psychology may now be viewed as simplistic, outdated, or incorrect, these influences shaped the direction of the field and helped us form a greater understanding of the human mind and behavior.

The Definition of a Trademark and Goodwill - Free Essay Example

Sample details Pages: 6 Words: 1835 Downloads: 6 Date added: 2017/06/26 Category Law Essay Did you like this example? INTRODUCTION Definition of trademark Any company has the right to take legal action if enough evidence is provided to the court. The company that feels infringed can take legal action supported by the principles of intellectual property rights. Company X has the rights to take legal action against company Y on the basis of fundamental principles under intellectual property rights. Don’t waste time! Our writers will create an original "The Definition of a Trademark and Goodwill" essay for you Create order Company X is a manufacturer of cool soft for men under the trade mark as cool soft as the first company to register under such a distinctive name. Company Y also starts to manufacture real soft for men under the trade mark real soft after company X is already trading. Trade mark by Yu,(2007), is defined as any word, name, symbol or device or any combination thereof used by a person to identify and distinguish his or her goods from these manufactured or sold by others and to indicate the source of the goods. In the case of laximikant Patel vs Chetan bhat shah, it was held that the trade the definition of trade mark is very wide and means a mark capable of being represented graphically and which is capable of distinguish the goods and services of one person from those of others. In this case company X has come up with a distinctive name as it trademark as the source to all consumers or as a source of such a product. Company X coming up with a name trade mark that is totally differen t from any other company. Furthermore, what is necessary is the connection between the mark used in relation to the goods and the person claiming a right to use the same. Recently in the case of Jaleel Associates vs Hotel sugar, it was held that if a name used in relation to goods or services for the purpose of indicating a course of trade between goods and services and some person having the right to use such name whether with or without any indication of the identity of that person such name is a trademark. In this case, company X under the trademark cool soft is able to portray a certain that of trade and under such a trade, people are able to identify the trade or goods or services that are being provided and this becomes a trademark. On the other hand company Y does not come up with something different but follow in the same trade as company X which has already have the trade mark because of being able to make easy identification to customers on goods or services being provi ded in that particular market. In addition, company X has also registered the trade mark cool soft. Under the Trade Mark Act section 14(1) provides that a mark will only be registered as a trade mark if it contains or consists of a word or words having no direct reference to the character or quality of the goods and not geographical name or surname. In this case company Yà ¢Ã¢â€š ¬Ã¢â€ž ¢s trade mark real soft has a direct reference to the trade mark of company X which is prohibited under the Trade Mark Act. Goodwill The goodwill of company X is portrayed were the cool soft has been marketed over a period of time, whilst company Y has just started manufacturing. Goodwill is ability to attract customers and potential customers to do business with the owner. Company X has developed goodwill for a long period of time. Customers have been buying their products, and this has made the company to amass for revenue, maintaining a bigger market share and brand loyalty. Unlike company Y who are just new to the business and has not been tested in the industry for a longer period. In the case of Hotel Capriani vs Cipriani (Grosvenor street) 2010, it was held that the claimant succeeded in both action sued which were trademark infringement and passing off. Company X has the right to take such legal actions. The aspect of marketing the product for a long period of time has made company X to be an established company, trusted by many people and therefore the sufficient enough to take legal action. In the c ase of Jules Rimet vs the football Association, it was held that after considering the claimantà ¢Ã¢â€š ¬Ã¢â€ž ¢s evidence which included references to the mascot in the press from time to time concluded that there was sufficient residual goodwill for action of passing of. Apart from this, in the case of Reckitt and Coleman products Ltd vs Borden Inc, it was held that the existence of the claimantà ¢Ã¢â€š ¬Ã¢â€ž ¢s extensive and exclusive goodwill built over the years, a misrepresentation as to the goods or services offered by the defendant and damage to the claimantà ¢Ã¢â€š ¬Ã¢â€ž ¢s goodwill as a result of the defendantà ¢Ã¢â€š ¬Ã¢â€ž ¢s misrepresentation amounted to passing off. Company X has built a reputation over the years and company Y by producing a product similar has somehow destabilize the sales, customers and market share of company X which in the case above amounts to passing off. Passing off is an attempt by one trader taking advantage of the goodwill develop ed by another to the detriment of the trader. Company X has marketed over a period of time and company Y has just started manufacturing similar products like the ones that company X is manufacturing. In a similar case Erven Warnink Bv vs J Townsend Sons Ltd (1979), it was held that not only damage due to lost sales but damage to reputation by being associated with inferior product amounted to passing off. Townsend was liable for passing off their goods as those of Warnink and the court applied the test for passing off which includes and any situation where misrepresentation is likely to injure the claimantà ¢Ã¢â€š ¬Ã¢â€ž ¢s goodwill. There was no trademark infringement but passing off. In order for one to claim passing off, there must be elements of the following aspects: There must be a goodwill or reputation attached to the goods or services of the claimant. In this case company X has marketed its product over a long period of time than company Y which has just started marketing same products. By marketing for a long period of time, company X has built a good relationship with customers. Sales have dropped due to company Y producing the same kind of product thus driving away customers to buy the other product and reducing the profitability of company X. This gives the right for company X to take legal action against company Y as this amounts to passing off. In the case of Buckley LJ H P Bulmer Limited vs Bollinger SA (1978), the court held that a man who engages in commercial activities may acquire a valuable reputation in respects of the goods in which he deals, or of the services which he performs or his business as an entity. The law regards such a reputation as an incorporeal piece of property, the integrity of which the owner is entitled to protect. So in this case, company X has built a reputation by marketing for a long period of time and by such the companyà ¢Ã¢â€š ¬Ã¢â€ž ¢s image, property and reputation are entitled to be protected. For passing of to be established there must be an element of misrepresentation. This element of misrepresentation is shown by company Y when manufacturing the products with similar packaging in white, dark blue and green colors as the ones that company X has manufactured for a long period of time. Misrepresentation is a false description made consciously or unconsciously through the use of a mark, trade name or get-up (brand name, trade description, individual features of labelling or packaging) with which the goods of the claimant are associated and which is likely to mislead the sensible members of the public. 3.0 Misrepresentation In the case of Arsenal Football Club Plc vs Reed (2001), it was held that the disclaimer was sufficient enough to prevent misrepresentation which is a necessary ingredient for passing off. The customers had not been deceived into buying and there was no real likelihood of confusion. But in this case company Y has labelled its product similarly to the ones of company X thus creating confusion as customers would not be able to differentiate from the original product hence deceiving customers. The deception as a result of a misrepresentation is an essential ingredient for a claim in passing off. In the case of BP Amoco Plc vs John Kelly Ltd (2005), it was held that deception or its likelihood lies at the heart of the tort of passing off. If the customer can see sufficiently clearly when he gets close to the station that the product sold is not that of Bp, he does not buy the petrol under the mistaken impression that he is getting Bp petrol. But in this case it is hard for a customer to clearly see the difference as the packaging of company X is white, dark blue and green, similarly to the one that company Y has started manufacturing. The packaging looks the same and this causes deception as company Y would be selling its product to customers who might buy on the essence that the product they are buying is for company X which has been manufacturing the product for a long period of time. By doing so company Y is deceiving customers into buying a product which is not the actual known product in the market which is manufactured by company X. This still amounts to passing off as company X is entitled to take legal actions under such circumstances. In the case of Combee international v Scholl (1975), the plaintiff manufactured insoles called odox heaters which contained activated charcoal. The defendant who was a well-known manufacturer of footwear also p roduced odox heaters. These were packaged in the same way. It was held that an injunction was granted on the basis that there was misrepresentation as the origin of the defendantà ¢Ã¢â€š ¬Ã¢â€ž ¢s product which was inferior. So in the same way company X can take legal actions against company Y because company Y is packing in the same way as the product of company Y is sold. Furthermore in the case of Wilkinson Sword Ltd vs Cripps Lee, the court held that the plaintiff had indeed have a reasonable cause of action. Meaning company X has the right to take legal actions. Damage to good wil Damage to good will would be a loss of reputation or control over reputation, exposure to litigation or erosion of the mark. Company Y has just started making similar goods as the ones made by company X. This has resulted in some of the customers buying from company Y thus reducing the gross profit for company X because the two companies share customers. In the case of Annabelà ¢Ã¢â€š ¬Ã¢â€ž ¢s (Berkley Square Ltd vs G Shock (Annabelà ¢Ã¢â€š ¬Ã¢â€ž ¢s Escort Agency), 1972, it was held that there a was sufficient association between what the public would consider the field of activity in which both business conducted

Sports Writing as a Form of Creative Nonfiction

Sports writing is a form of journalism or creative nonfiction  in which a sporting event, individual athlete, or sports-related issue serves as the dominant subject. A journalist who reports on sports is a sportswriter (or sports writer). In his foreword to  The Best American Sports Writing 2015, series editor Glenn Stout says that a really good sports story provides an experience that approaches the book experience—it takes you from one place youve never been before and by the end leaves you in another place, changed. Examples and Observations: The best sports stories are based not on interviews but on conversations—conversations with people who are sometimes reluctant, sometimes in the orneriest mood, often not the most glib or polished conversationalists.(Michael Wilbon, Introduction to The Best American Sports Writing 2012. Houghton Mifflin Harcourt, 2012)W.C. Heinz on Bummy DavisIts a funny thing about people. People will hate a guy all his life for what he is, but the minute he dies for it they make him out a hero and they go around saying that maybe he wasnt such a bad guy after all because he sure was willing to go the distance for whatever he believed or whatever he was.Thats the way it was with Bummy Davis. The night Bummy fought Fritzie Zivic in the Garden and Zivic started giving him the business and Bummy hit Zivic low maybe 30 times and kicked the referee, they wanted to hang him for it. The night those four guys came into Dudys bar and tried the same thing, only with rods, Bummy went nuts again. He flat tened the first one and then they shot him, and when everybody read about it, and how Bummy fought guns with only his left hook and died lying in the rain in front of the place, they all said he was really something and you sure had to give him credit at that. ...(W.C. Heinz, Brownsville Bum. True, 1951. Rpt. in What A Time It Was: The Best of W.C. Heinz on Sports. Da Capo Press, 2001)Gary Smith on Muhammad AliAround Muhammad Ali, all was decay. Mildewed tongues of insulation poked through gaps in the ceiling; flaking cankers pocked the painted walls. On the floor lay rotting scraps of carpet.He was cloaked in black. Black street shoes, black socks, black pants, black short-sleeved shirt. He threw a punch, and in the small towns abandoned boxing gym, the rusting chain between the heavy bag and the ceiling rocked and creaked.Slowly, at first, his feet began to dance around the bag. His left hand flicked a pair of jabs, and then a right cross and a left hook, too, recalled the ritual of butterfly and bee. The dance quickened. Black sunglasses flew from his pocket as he gathered speed, black shirttail flapped free, black heavy bag rocked and creaked. Black street shoes scuffed faster and faster across black moldering tiles: Yeah, Lawd, champ can still float, champ can still sting! He whirled, jabbed, feinted, let his feet fly into a shuffle. Hows that for a sick man? he shouted. ...(Gary Smith, Ali and His Entourage. Sports Illustrated, April 25, 1988)Roger Angell on the Business of CaringI am not enough of a social geographer to know if the faith of the Red Sox fan is deeper or hardier than that of a Reds rooter (although I secretly believe that it may be, because of his longer and more bitter disappointments down the years). What I do know is that this belonging and caring is what our games are all about; this is what we come for. It is foolish and childish, on the face of it, to affiliate ourselves with anything so insignificant and patently contrived and comm ercially exploitative as a professional sports team, and the amused superiority and icy scorn that the non-fan directs at the sports nut (I know this look—I know it by heart) is understandable and almost unanswerable. Almost. What is left out of this calculation, it seems to me, is the business of caring—caring deeply and passionately, really caring—which is a capacity or an emotion that has almost gone out of our lives. And so it seems possible that we have come to a time when it no longer matters so much what the caring is about, how frail or foolish is the object of that concern, as long as the feeling itself can be saved. Naà ¯vetà ©Ã¢â‚¬â€the infantile and ignoble joy that sends a grown man or woman to dancing and shouting with joy in the middle of the night over the haphazardous flight of a distant ball—seems a small price to pay for such a gift.(Roger Angell, Agincourt and After. Five Seasons: A Baseball Companion. Fireside, 1988)Rick Reilly on the Pace of Play in BaseballThings that nobody reads in America today:The online legal mumbo jumbo before you check the little I Agree box.Kate Uptons resume.Major League Baseballs Pace of Play Procedures.Not that baseball games dont have a pace. They do: Snails escaping a freezer.Its clear no MLB player or umpire has ever read the procedures or else how do you explain what I witnessed Sunday, when I sat down to do something really stupid—watch an entire televised MLB game without the aid of a DVR?Cincinnati at San Francisco was a three-hour-and-14-minute can-somebody-please-stick-two-forks-in-my-eyes snore-a-palooza. Like a Swedish movie, it might have been decent if somebody had cut 90 minutes out of it. Id rather have watched eyebrows grow. And I should have known better.Consider: There were 280 pitches thrown and, after 170 of them, the hitter got out of the batters box and did ... absolutely nothing.Mostly, hitters delayed the proceedings to kick imaginary dirt off their cleats, meditate, and un-Velcro and re-Velcro their batting gloves, despite the fact that most of the time, they hadnt even swung. ...(Rick Reilly, Play Ball! Really, Play Ball! ESPN.com, July 11, 2012)Research and Sports WritingAthletes will tell you that games are won or lost in practice. Sports writers will tell you the same thing about stories—the key work is doing research before a game. The reporter tries to find out all she can about the teams, the coaches, and the issues hell be covering. Sports writer Steve Sipple comments, Background is the one time I dont have to worry about asking the right questions. Its the one time when Im able to relax and have fun while I familiarize myself with an athlete or issue.(Kathryn T. Stofer, James R. Schaffer, and Brian A. Rosenthal, Sports Journalism: An Introduction to Reporting and Writing. Rowman Littlefield, 2010)

Research on Warehouse Design Free Essays

string(56) " papers are included within our classi\? cation scheme\." European Journal of Operational Research 203 (2010) 539–549 Contents lists available at ScienceDirect European Journal of Operational Research journal homepage: www. elsevier. com/locate/ejor Invited Review Research on warehouse design and performance evaluation: A comprehensive review Jinxiang Gu a, Marc Goetschalckx b,*, Leon F. We will write a custom essay sample on Research on Warehouse Design or any similar topic only for you Order Now McGinnis b a b Nestle USA, 800 North Brand Blvd. , Glendale, CA 91203, United States Georgia Institute of Technology, 765 Ferst Dr. , Atlanta, GA 30332-0205, United States a r t i c l e i n f o a b s t r a c t This paper presents a detailed survey of the research on warehouse design, performance evaluation, practical case studies, and computational support tools. This and an earlier survey on warehouse operation provide a comprehensive review of existing academic research results in the framework of a systematic classi? cation. Each research area within this framework is discussed, including the identi? cation of the limits of previous research and of potential future research directions. O 2009 Elsevier B. V. All rights reserved. Article history: Received 5 December 2005 Accepted 21 July 2009 Available online 6 August 2009 Keywords: Facilities design and planning Warehouse design Warehouse performance evaluation model Case studies Computational tools 1. Introduction This survey and a companion paper (Gu et al. , 2007) present a comprehensive review of the state-of-art of warehouse research. Whereas the latter focuses on warehouse operation problems related to the four major warehouse functions, i. e. , receiving, storage, order picking, and shipping, this paper concentrates on warehouse design, performance evaluation, case studies, and computational support tools. The objectives are to provide an all-inclusive overview of the available methodologies and tools for improving warehouse design practices and to identify potential future research directions. Warehouse design involves ? ve major decisions as illustrated in Fig. 1: determining the overall warehouse structure; sizing and dimensioning the warehouse and its departments; determining the detailed layout within each department; selecting warehouse equipment; and selecting operational strategies. The overall structure (or conceptual design) determines the material ? ow pattern within the warehouse, the speci? ation of functional departments, and the ? ow relationships between departments. The sizing and dimensioning decisions determine the size and dimension of the warehouse as well as the space allocation among various warehouse departments. Department layout is the detailed con? guration within a warehouse department, for example, aisle con? guration in the retrieval area, pallet block-sta cking pattern in the reserve storage area, and con? guration of an Automated Storage/Retrieval System (AS/RS). The equipment selection deci* Corresponding author. Tel. : +1 404 894 2317; fax: +1 404 894 2301. E-mail address: marc. oetschalckx@isye. gatech. edu (M. Goetschalckx). 0377-2217/$ – see front matter O 2009 Elsevier B. V. All rights reserved. doi:10. 1016/j. ejor. 2009. 07. 031 sions determine an appropriate automation level for the warehouse, and identify equipment types for storage, transportation, order picking, and sorting. The selection of the operation strategy determines how the warehouse will be operated, for example, with regards to storage and order picking. Operation strategies refer to those decisions about operations that have global effects on other design decisions, and therefore need to be considered in the design phase. Examples of such operation strategies include the choice between randomized storage or dedicated storage, whether or not to do zone picking, and the choice between sort-while-pick or sortafter-pick. Detailed operational policies, such as how to batch and route the order picking tour, are not considered design problems and therefore are discussed in Gu et al. (2007). It should be emphasized that warehouse design decisions are strongly coupled and it is dif? cult to de? ne a sharp boundary between them. Therefore, our proposed classi? ation should not be regarded as unique, nor does it imply that any of the decisions should be made independently. Furthermore, one should not ignore operational performance measures in the design phase since operational ef? ciency is strongly affected by the design decisions, but it can be very expensive or impossible to change the design decisions once the warehouse is actually built. Performance evaluation is important for both warehouse design and oper ation. Assessing the performance of a warehouse in terms of cost, throughput, space utilization, and service provides feedback about how a speci? design or operational policy performs compared with the requirements, and how it can be improved. Furthermore, a good performance evaluation model can help the designer to quickly evaluate many design alternatives and narrow down the design space during the early design stage. Performance operational cost for each alternative is estimated using simple analytic equations. Gray et al. (1992) address a similar problem, and propose a multi-stage hierarchical approach that uses simple calculations to evaluate the tradeoffs and prune the design space to a few superior alternatives. Simulation is then used to provide detailed performance evaluation of the resulting alternatives. Yoon and Sharp (1996) propose a structured approach for exploring the design space of order picking systems, which includes stages such as design information collection, design alternative development, and performance evaluation. In summary, published research ndco4h lar02. 8659(war,. 0320Td[(pro2k evaluation methods include benchmarking, analytical models, and simulation models. This review will mainly focus on the former two since simulation results depend greatly on the implementation details and are less amenable to generalization. However, this should not obscure the fact that simulation is still the most widely used technique for warehouse performance evaluation in the academic literature as well as in practice. Some case studies and computational systems are also discussed in this paper. Research in these two directions is very limited. However, it is our belief that more case studies and computational tools for warehouse design and operation will help to bridge the signi? ant gap between academic research and practical application, and therefore, represent a key need for the future. The study presented in this paper and its companion paper on operations, Gu et al. (2007), complements previous surveys on warehouse research, for example, Cormier (2005), Cormier and Gunn (1992), van den Berg (1999) and Rowenhorst et al. (2000). Over 250 papers are includ ed within our classi? cation scheme. You read "Research on Warehouse Design" in category "Free Research Paper Samples" To our knowledge, it is the most comprehensive review of existing research results on warehousing. However, we make no claim that it includes all the literature on warehousing. The scope of this survey has been mainly focused on results published in available English-language research journals. The topic of warehouse location, which is part of the larger area of distribution system design, is not addressed in this current review. A recent survey on warehouse location is provided by Daskin et al. (2005). The next four sections will discuss the literature on warehouse design, performance evaluation, case studies, and computational systems, respectively. The ? al section gives conclusions and future research directions. 2. Warehouse design 2. 1. Overall structure The overall structure (or conceptual design) of a warehouse determines the functional departments, e. g. , how many storage departments, employing what technologies, and how orders will be assembled. At this stage of design, the issues are to meet storage and throughput requirements, and to minimize costs, which may be the d iscounted value of investment and future operating costs. We can identify only three published papers addressing overall structural design. Park and Webster (1989) assume the functions are given, and select equipment types, storage rules, and order picking policies to minimize total costs. The initial investment cost and annual J. Gu et al. / European Journal of Operational Research 203 (2010) 539–549 541 Levy (1974), Cormier and Gunn (1996) and Goh et al. (2001) consider warehouse sizing problems in the case where the warehouse is responsible for controlling the inventory. Therefore, the costs in their models include not only warehouse construction cost, but also inventory holding and replenishment cost. Levy (1974) presents analytic models to determine the optimal storage size for a single product with either deterministic or stochastic demand. Assuming additional space can be leased to supplement the warehouse, Cormier and Gunn (1996) propose closed-form solution that yields the optimal warehouse size, the optimal amount of space to lease in each period, and the optimal replenishment quantity for a single product case with deterministic demand. The multi-product case is modeled as a nonlinear optimization problem assuming that the timing of replenishments is not managed. Cormier and Gunn (1999) developed a nonlinear programming formulation for the optimal warehouse expansion over consecutive time periods. Goh et al. (2001) ? nd the optimal storage size for both single-product and multi-product cases with deterministic demand. They consider a more realistic piecewise linear model for the warehouse construction cost instead of the traditional linear cost model. Furthermore, they consider the possibility of joint inventory replenishment for the multi-product case, and propose a heuristic to ? nd the warehouse size. The effects of inventory control policies (e. g. , the reorder point and ordering quantity) on the total required storage capacity are shown by Rosenblatt and Roll (1988) using simulation. Our ability to answer warehouse sizing questions would be signi? cantly enhanced by two types of research. First, assessing capacity requirements should consider seasonality, storage policy, and order characteristics, because these three factors interact to impact the achievable storage ef? ciency, i. e. that fraction of warehouse capacity that can actually be used effectively. Second, sizing models all employ cost models, and validation studies of these models would be a signi? cant contribution. 2. 2. 2. Warehouse dimensioning The warehouse dimensioning problem translates capacity into ? oor space in order to assess construction and operating costs, and was ? rst modeled by Francis (1967), who used a continuous approximation of the storage area without considering aisle structure. Bassan et al. (1980) extends Francis (1967) by considering aisle con? gurations. Rosenblatt and Roll (1984) integrate the optimization model in Bassan et al. 1980) with a simulation model which evaluates the storage shortage cost, a function of storage capacity and number of zones. They assume single-command tours in order to evaluate the effect of warehouse dimension on the operational cost, and therefore their approach is not applicable to warehouses that perform multi-command operations (e. g. , interleaving put-away and retrieval, or retrieving multiple items per trip). The work discussed so far has approached the sizing and dimensioning problem assuming the warehouse has a single storage department. In reality, a warehouse might have multiple departments, e. g. , a forward-reserve con? guration, or different storage departments for different classes of Stock Keeping Units (SKUs). These different departments must be arranged in a single warehouse and compete with each other for space. Therefore, there are tradeoffs in determining the total warehouse size, allocating the warehouse space among departments, and determining the dimension of the warehouse and its departments. Research studying these tradeoffs in the warehouse area is scarce. Pliskin and Dori (1982) propose a method to compare alternative space allocations among different warehouse departments based on multi-attribute value functions, which explicitly capture the tradeoffs among different criteria. Azadivar (1989) proposes an approach to optimally allocate space between two departments: one is ef? cient in terms of storage but inef? cient in terms of operation, while the other is the opposite. The objective is to achieve the best system performance by appropriately allocating space between these two departments to balance the storage capacity and operational ef? iency tradeoffs. Heragu et al. (2005) consider a warehouse with ? ve functional areas, i. e. , receiving, shipping, cross-docking, reserve, and forward. They propose an optimization model and a heuristic algorithm to determine the assignment of SKUs to the different storage areas as well as the size of each functional area to minimize the total material handling and storage costs. A key issue with all research on the dimensioning problem is that it requires performance models of material handling; these models are often independent of the size or layout of the warehouse. Research is needed to either validate these models, or develop design methods that explicitly consider the impact of sizing and dimensioning on material handling. 2. 3. Department layout In this section we discus layout problems within a warehouse department, primarily a storage department. The storage problems are classi? ed as: (P1) pallet block-stacking pattern, i. e. , storage lane depth, number of lanes for each depth, stack height, pallet placement angle with regards to the aisle, storage clearance between pallets, and length and width of aisles; (P2) storage department layout, i. . , door location, aisle orientation, length and width of aisles, and number of aisles; and (P3) AS/RS con? guration, i. e. , dimension of storage racks, number of cranes. These layout problems affect warehouse performances with respect to: (O1) construction and maintenance cost; (O2) material handling cost; (O3) storage capacity, e. g. , the ability to accommodate incoming shipments; (O4) space utili zation; and (O5) equipment utilization. Each problem is treated in the literature by different authors considering a subset of the performance measures, as summarized in Table 1. 2. 3. 1. Pallet block-stacking pattern (P1) In the pallet block-stacking problem, a fundamental decision is the selection of lane depths to balance the tradeoffs between space utilization and ease of storage/retrieval operations, considering the SKUs’ stackability limits, arriving lot sizes, and retrieval patterns. Using deep lane storage could increase space utilization because fewer aisles are needed, but on the other hand could also cause decreased space utilization due to the ‘‘honeycombing† effect that creates unusable space for the storage of other items until the whole lane is totally depleted. The magnitude of the honeycombing effect depends on lane depths as well as the withdrawal rates of individual products. Therefore, it might be bene? cial to store different classes of products in different lane depths. A careful determination and coordination of the lane depths for different products is necessary in order to achieve the best storage space utilization. Besides lane con? guration, the pallet block-stacking problem also determines such decisions as aisle widths and orientation, stack height, and storage clearance, which all affect storage space utilization, material handling ef? iency, and storage capacity. 542 J. Gu et al. / European Journal of Operational Research 203 (2010) 539–549 Table 1 A summary of the literature on warehouse layout design. Problem P1 Citation Moder and Thornton (1965) Berry (1968) Marsh (1979) Marsh (1983) Goetschalckx and Ratliff (1991) Larson et al. (1997) Roberts and Reed (1972) Bassan et al. (1980) Rosenblatt and Roll (1984) Pandit an d Palekar (1993) P3 Karasawa et al. (1980) Ashayeri et al. 1985) Rosenblatt et al. (1993) Objective O4 O2, O4 O3, O4 O4 O2, O4 O1, O2 O1, O2 O1, O2, O3 O2 O1, O2, O3 O1, O2 O1, O2, O3 O1, O5 O1, O5 O1 Method Analytical formulae Analytical formulae Simulation models Heuristic procedure Heuristic procedure Dynamic Programming Optimal design using analytical formulation Optimal two-dimensional search method Queuing model Nonlinear mixed integer problem Nonlinear mixed integer problem Nonlinear mixed integer problem Notes Mainly on lane depth determination For class-based storage Consider the con? guration of storage bays (unit storage blocks) Consider horizontal and vertical aisle orientations, locations of doors, and zoning of the storage area Based on Bassan et al’s work with additional costs due to the use of grouped storage Include not only the ordinary travel time, but also waiting time when all vehicles are busy The model is solved by generalized Lagrange multiplier method Given rack height, the model can be simpli? d to a convex problem System service is evaluated using simulations, if not satisfactory, new constraints are added and the optimization model is solved again to get a new solution A more elaborated variation of Zollinger’s rules that consider explicitly operational policies For the design of an automated carousel system. The model is solved with a simple search algorithm P2 Zollinger (1996) Malmborg (2001) Lee and Hwang (1988) Rule of thumb heuristic Rule of thumb heu ristic Nonlinear integer program A number of papers discuss the pallet block-stacking problem. Moder and Thornton (1965) consider ways of stacking pallets in a warehouse and the in? uence on space utilization and ease of storage and retrieval. They consider such design factors as lane depth, pallet placement angle with regards to the aisle, and spacing between storage lanes. Berry (1968) discusses the tradeoffs between storage ef? ciency and material handling costs by developing analytic models to evaluate the total warehouse volume and the average travel distance for a given storage space requirement. The factors considered include warehouse shape, number, length and orientation of aisles, lane depth, throughput rate, and number of SKUs contained in the warehouse. It should be noted that the models for total warehouse volume and models for average travel distance are not integrated, and the warehouse layout that maximizes storage ef? ciency is different from the one that minimizes travel distance. Marsh (1979) uses simulation to evaluate the effect on space utilization of alternate lane depths and the rules for assigning incoming shipments to lanes. Marsh (1983) compares the layout design developed by using the simulation models of Marsh (1979) and the analytic models proposed by Berry (1968). Goetschalckx and Ratliff (1991) develop an ef? cient dynamic programming algorithm to maximize space utilization by selecting lane depths out of a limited number of allowable depths and assigning incoming shipments to the different lane depths. Larson et al. (1997) propose a three-step heuristic for the layout problem of class-based pallet storage with the purpose to maximize storage space utilization and minimize material handling cost. The ? st phase determines the aisles layout and storage zone dimensions; the second phase assigns SKUs to storage con? gurations; and the third phase assigns ? oor space to the storage con? gurations. The research addressing the pallet block-stacking problem suggests different rules or algorithms, usually with restrictive assumptions, e. g. , the replenishment quantities and retrieval frequencies for each SKU are known. In reality, not only do these change dynamically, but the SKU set itself changes, and pallet block-stacking patterns that are optimized for current conditions may be far from optimum in the near future. Research is needed that will identify a robust solution in the face of dynamic uncertainty in the storage and retrieval requirements. 2. 3. 2. Storage department layout (P2) The storage department layout problem is to determine the aisle structure of a storage department in order to minimize the construction cost and material handling cost. The decisions usually include aisle orientations, number of aisles, length and width of aisles, and door locations. In order to evaluate operational costs, some assumptions are usually made about the storage and order picking policies; random storage and single-command order picking are the most common assumptions. By assuming a layout con? guration, or a small set of alternative con? gurations, models can be formulated to optimize each con? guration. Roberts and Reed (1972) assume storage space is available in units of identical bays. Bassan et al. (1980) consider a rectangular warehouse, and aisles that are either parallel or perpendicular to the longest walls. In addition, they also discuss the optimal door locations in the storage department, and the optimal layout when the storage area is divided into different zones. Roll and Rosenblatt (1983) extend Bassan et al. (1980) to include the additional cost due to the use of grouped storage policy. Pandit and Palekar (1993) minimize the expected response time of storage and/or retrieval requests using a queuing model to calculate the total response time including waiting and processing time for different types of layouts. With these response times, an optimization model is solved to ? nd the optimal storage space con? urations. Roodbergen and Vis (2006) present an optimization approach for selecting the number and length of aisles and the depot location so as to minimize the expected length of a picking tour. They developed models for both S-shaped tours and a largest gap policy, and concluded that the choice of routing policy could, in some cases, have a signi? cant impact on the size and la yout of the department. The conclusion from Roodbergen and Vis (2006) is quite significant, since it calls into question the attempt to optimize storage department layout without knowing what the true material handling performance will be. There is a need for additional research that helps to identify the magnitude of the impact of layout (for reasonably shaped departments) on total costs over the life of the warehouse, considering changing storage and retrieval requirements. J. Gu et al. / European Journal of Operational Research 203 (2010) 539–549 543 2. 3. 3. AS/RS con? guration (P3) The AS/RS con? guration problem is to determine the numbers of cranes and aisles, and storage rack dimension in order to minimize construction, maintenance, and operational cost, and/or maximize equipment utilization. The optimal design models or rule-ofthumb procedures summarized in Table 1 typically utilize some empirical expressions of the costs based on simple assumptions for the operational policies, and known storage and retrieval rates. Karasawa et al. (1980) present a nonlinear mixed integer formulation with decision variables being the number of cranes and the height and length of storage racks and costs including construction and equipment costs while satisfying service and storage capacity requirements. Ashayeri et al. 1985) solve a problem similar to Karasawa et al. (1980). Given the storage capacity requirement and the height of racks, their models can be simpli? ed to include only a single design variable, i. e. , the number of aisles. Furthermore, the objective function is shown to be convex in the number of aisles, which allows a simple one-dimensional search algorithm to optimally solve the problem. Rosenblatt et al. (1993) propose an optimization model that is a slight modi? cati on of Ashayeri et al. (1985), which allows a crane to serve multiple aisles. A combined optimization and simulation approach is proposed, where the optimization model generates an initial design, and a simulation evaluates performance, e. g. , service level. If the constraints evaluated by simulation are satis? ed, then the procedure stops. Otherwise, the optimization model is altered by adding new constraints that have been constructed by approximating the simulation results. Zollinger (1996) proposes some rule of thumb heuristics for designing an AS/RS. The design criteria include the total equipment costs, S/ R machine utilization, service time, number of jobs waiting in the queue, and storage space requirements. Closed form equations compute these criteria as functions of the number of aisles and the number of levels in the storage rack. Malmborg (2001) uses simulation to re? ne the estimates of some of the parameters which then are used in the closed form equations. The design of automated carousel storage systems is addressed by Lee and Hwang (1988). They use an optimization approach to determine the optimal number of S/R machines and the optimal dimensions of the carousel system to minimize the initial investment cost and operational costs over a ? ite planning horizon subject to constraints for throughput, storage capacity, and site restrictions. Some other less well-discussed AS/RS design problems include determining the size of the basic material handling unit and the con? guration of I/O points. Roll et al. (1989) propose a procedure to determine the single optimal container size in an AS/RS, which is the basic unit for storage and order picking. Container size has a direct effect on space utilization, and therefore on the equipment cost since the storage capacity requirement needs to be satis? ed. Randhawa et al. 1991) and Randhawa and Shroff (1995) use simulations to investigate different I/O con? gurations on performance such as throughput, mean waiting time, and maximum waiting time. The results indicate that increased system throughput can be achieved using I/O con? gurations different from the common one-dock layout where the dock is located at the end of the aisle. There are two important opportunities for additional research on AS/RS con? guration: (1) results for a much broader range of technology options, e. g. , double deep rack, multi-shuttle cranes, etc. ; and (2) results demonstrating the sensitivity of con? urations to changes in the expected storage and retrieval rates or the effects of a changing product mix. 2. 4. Equipment selection The equipment selection problem addresses the level of automation in a warehouse and what type of storage and ma terial han- dling systems should be employed. These decisions obviously are strategic in nature in that they affect almost all the other decisions as well as the overall warehouse investment and performance. Determining the best level of automation is far from obvious in most cases, and in practice it is usually determined based on the personal experience of designers and managers. Academic research in this category is extremely rare. Cox (1986) provides a methodology to evaluate different levels of automation based on a cost-productivity analysis technique called the hierarchy of productivity ratios. White et al. (1981) develop analytical models to compare block stacking, single-deep and doubledeep pallet rack, deep lane storage, and unit load AS/RS in order to determine the minimum space design. Matson and White (1981) extend White et al. (1981) to develop a total cost model incorporating both space and material handling costs, and demonstrate the effect of handling requirements on the optimum storage design. Sharp et al. (1994) compare several competing small part storage equipment types assuming different product sizes and dimensions. They considered shelving systems, modular drawers, gravity ? ow racks, carousel systems, and mini-load storage/retrieval systems. The costs they considered include operational costs, ? oor space costs, and equipment costs. In summary, research on equipment selection is quite limited and preliminary, although it is very important in the sense that it will affect the whole warehouse design and the overall lifetime costs. There are two fundamental issues for equipment selection: (1) how to identify the equipment alternatives that are reasonable for a given storage/retrieval requirement; and (2) how to select among the reasonable alternatives. A very signi? cant contribution would be to develop a method for characterizing requirements and characterizing equipment in such a way that these two issues could be addressed in a uni? ed manner. 2. 5. Operation strategy This section discusses the selection of operation strategies in a warehouse. The focus is on operation strategies that, once selected, have important effects on the overall system and are not likely to be changed frequently. Examples of such strategies are the decision between randomized and dedicated storage, or the decision to use zone picking. Two major operation strategies are discussed: the storage strategy and the order picking strategy. Detailed operation policies and their implementations are discussed in Gu et al. (2007). 2. 5. 1. Storage The basic storage strategies include random storage, dedicated storage, class-based storage, and Duration-of-Stay (DOS) based storage, as explained in Gu et al. 2007). Hausman et al. (1976), Graves et al. (1977) and Schwarz et al. (1978) compare random storage, dedicated storage, and class-based storage in single-command and dual-command AS/RS using both analytical models and simulations. They show that signi? cant reductions in travel time are obtainable from dedicated storage compared with random storage, and also that class-based storage with relatively few classes yields travel time reductions that are close to those obtained by dedicated storage. Goetschalckx and Ratliff (1990) and Thonemann and Brandeau (1998) show theoretically that DOS-based storage policies are the most promising in terms of minimizing traveling costs. Historically, DOS-based policies were dif? cult to implement since they require the tracking and management of each stored unit in the warehouse, but modern WMS’s have this capability. Also the performance of DOS-based policies depends greatly on factors such as the skewness of demands, balance of input and output ? ows, inventory control policies, and the speci? cs of implementation. In a study by Kulturel et al. (1999), class-based 544 J. Gu et al. European Journal of Operational Research 203 (2010) 539–549 storage and DOS-based storage are compared using simulations, and the former is found to consistently outperform the latter. This conclusion may have been reached because the assumptions of the DOS model rarely hold true in practice. All the results on operational strategies are for unit- load AS/RS. Studies on other storage systems are rarely reported. Malmborg and Al-Tassan (1998) develop analytic models to evaluate the performance of dedicated storage and randomized storage in lessthan-unit-load warehouses, but no general conclusions comparable to the unit-load case are given. A strong case can be made that additional research is needed, especially to clarify the conditions under which the storage policy does or does not have a signi? cant impact on capacity or travel time. 2. 5. 2. Order picking In a given day or shift, a warehouse may have many orders to pick. These orders may be similar in a number of respects; for example, some orders are shipped using the same carrier, or transportation mode, or have the same pick due date and time. If there are similarities among subsets of orders that require them to be shipped together, then they also should be picked roughly during the same time period to avoid intermediate storage and staging. Thus, it is common practice to use wave picking, i. e. , to release a fraction of the day’s (shift’s) orders, and to expect their picking to be completed within a corresponding fraction of the day (shift). In addition to wave picking, two other commonly used orderpicking strategies are batch picking and zone picking. Batch picking involves the assignment of a group of orders to a picker to be picked simultaneously in one trip. In zone picking, the storage space is divided into picking zones and each zone has one or more assigned pickers who only pick in their assigned zone. Zone picking can be divided into sequential and parallel zone picking. Sequential zone picking is similar to a ? ow line, in which containers that can hold one or more orders are passed sequentially through the zones; the pickers in each zone pick the products within their zone, put them into the container, and then pass the container to the next zone. Bartholdi et al. (2000) propose a Bucket Brigades order picking method that is similar to sequential zone picking, but does not require pickers to be restricted to zones). In parallel zone picking, an order is picked in each zone simultaneously. The picked items are sent to a downstream sorting system to be combined into orders. The organization and planning of the order picking process has to answer the following questions: 1. Will product be transported to the picker (part-to-picker) or will the picker travel to the storage location (picker-to-part)? . Will orders be picked in waves? If so, how many waves of what duration? 3. Will the warehouse be divided into zones? If so, will zones be picked sequentially or concurrently? 4. Will orders be picked in batches or separately? If they are batched, will they be sorted while picking or after picking? Depending on the operating principles selected, the order picking methods will be:        Single order picking. Batching with sort-while-pick. Batching with sort-after-pick. Sequential zoning with single order picking. Sequential zoning with batching. Concurrent zoning without batching. Concurrent zoning with batching. Research on the selection of an order picking strategy is very scarce, which might be a result of the complexity of the problem itself. Lin and Lu (1999) compare single-order picking and batch zone picking for different types of orders, which are classi? ed based on the order quantity and the number of ordered items. Petersen (2000) simulates ? ve different order-picking policies: singleorder picking, batch picking, sequential zone picking, concurrent zone picking, and wave picking. Two control variables in the simulation study are the numbers of daily orders and the demand skewness, while the other factors such as warehouse layout, storage assignment, and zone con? guration (when zone and wave picking are used) are ? xed. The performance measures used to compare the different policies include: the mean daily labor, the mean length of day, and the mean percentage of late orders. For each order picking policy, the simplest rules regarding batching, routing, and wave length are used. It also should be noted that the performance measures are mainly related to order picking ef? iencies and service quality; additional costs caused by downstream sorting with batch, zone, and wave picking are not considered. Furthermore, comparison of these policies are made mainly with regards to the order structures, while other important factors such as storage assignment and detailed implementations of the order picking policies are assumed to be ? xed. Therefore, the results shoul d not be considered generic and more research in this direction is required to provide more guidance for warehouse designers. Order picking strategy selection remains a largely unresolved design problem. Additional research would be valuable, especially if it could begin to characterize order picking alternatives in ways that were easy to apply in design decision making. As an example, could researchers develop performance curves for different order picking strategies? 3. Performance evaluation Performance evaluation provides feedback on the quality of a proposed design and/or operational policy, and more importantly, on how to improve it. There are different approaches for performance evaluation: benchmarking, analytic models, and simulations. This section will only discuss benchmarking and analytic models. 3. 1. Benchmarking Warehouse benchmarking is the process of systematically assessing the performance of a warehouse, identifying inef? ciencies, and proposing improvements. Data Envelopment Analysis (DEA) is regarded as an appropriate tool for this task because of its capability to capture simultaneously all the relevant inputs (resources) and outputs (performances), to construct the best performance frontier, and to reveals the relative shortcomings of inef? cient warehouses. Schefczyk (1993), Hackman et al. (2001), and Ross and Droge (2002) shows some approaches and case studies of using DEA in warehouse benchmarking. An Internet-based DEA system (iDEAS) for warehouses is developed by the Keck Lab at Georgia Tech, which includes information on more than 200 warehouses (McGinnis, 2003). 3. 2. Analytical models Analytic performance models fall into two main categories: (1) aisle based models which focus on a single storage system and address travel or service time; and (2) integrated models which address either multiple storage systems or criteria in addition to travel/service times. J. Gu et al. / European Journal of Operational Research 203 (2010) 539–549 545 3. 2. 1. Aisle based models Table 2 summarizes research on travel time models for aislebased systems. A signi? cant fraction of research focuses on the expected travel time for the crane in an AS/RS, for either single command (SC) or dual command (DC) cycles. For both, there is research addressing three different storage policies: in randomized storage, any SKU can occupy any location; in dedicated storage, each SKU has a set of designated locations; and in class based storage, a group of storage locations is allocated to a class of SKUs, and randomized storage is allowed within the group of storage locations. The issue with DC cycles is matching up storages and retrievals to minimize the dead-head travel of the crane, which may involve sequencing retrievals, and selecting storage locations. The results in this category usually assume in? nite acceleration to simplify the travel time models, although some develop more elaborate models by considering acceleration for the various axes of motion (see, e. g. , Hwang and Lee, 1990; Hwang et al. , 2004b; Chang and Wen, 1997; Chang et al. , 1995). There are a few papers that attack the more mathematically challenging issue of deriving the distribution of travel time (see Foley and Frazelle (1991) and Foley et al. (2002)). The research on carousel travel time models generally parallels corresponding AS/RS research. Given some knowledge of travel time, AS/RS service time models can be developed, considering the times required for load/unload and store/retrieve at the storage slot. Queuing models have been developed assuming various distributions for travel time, see e. g. Lee (1997), Chow (1986), Hur et al. (2004), Bozer and White (1984), Park et al. (2003a) for AS/RS, Chang et al. (1995) for conventional multi-aisle systems, and for end-of-aisle picking systems, see Bozer and White (1991, 1996), Park et al. (2003a), and Park et al. (1999). Stochastic optimization models have been developed for estimating AS/RS throughput, with constraints on storage queue length and retrieval request waiting time (Azadivar, 1986). The throughpu t of carousel systems is modeled by Park et al. (2003b) and Meller and Klote (2004). The former consider a system with two carousels and one picker, and derive analytic expressions for the system throughput and picker utilization assuming deterministic and exponential pick time distributions. Meller and Klote (2004) develop throughput models for systems with multiple carousels using an approximate two-server queuing model approach. For conventional multi-aisle storage systems (bin shelving, e. g. ), two kinds of travel time results have been developed: (1) models which estimate the expected travel time; and (2) models of the pdf of travel times. These models require an assumption about the structure of the tour, e. g. , traversal (Hall, 1993), return (Hall, 1993 or Caron et al. , 1998), or largest gap (Roodbergen and Vis, 2006). As long as these models are parameterized on attributes of the storage system design, they can be used to support design by searching over the relevant parameters. As with AS/RS and carousels, there has been research to incorporate travel time models into performance models. Chew and Table 2 Literature of travel time models for different warehouse systems. Randomized storage Unit-load AS/RS Single-command Hausman et al. 1976) Bozer and White (1984) Thonemann and Brandeau (1998) Kim and Seidmann (1990) Hwang and Ko (1988) Lee (1997) Hwang and Lee (1990) Chang et al. (1995) Chang and Wen (1997) Koh et al. (2002) Lee et al. (1999) Graves et al. (1977) Bozer and White (1984) Kim and Seidmann (1990) Hwang and Ko (1988) Lee (1997) Han et al. (1987) Hwang and Lee (1990) Chang et al. (1995) Chang and Wen (19 97) Koh et al. (2002) Lee et al. (1999) Meller and Mungwattana (1997) Potrc et al. (2004) Hwang and Song (1993) Bozer and White (1990) Bozer and White (1996) Foley and Frazelle (1991) Park et al. 1999) Han and McGinnis (1986) Han et al. (1988) Su (1998) Hwang and Ha (1991) Hwang et al. (1999) Hall (1993) Jarvis and McDowell (1991) Chew and Tang (1999) Hwang et al. (2004a) Caron et al. (1998) Caron et al. (2000) Jarvis and McDowell (1991) Chew and Tang (1999) Hwang et al. (2004a) Park et al. (2003a) Dedicated storage Hausman et al. (1976) Thonemann and Brandeau (1998) Kim and Seidmann (1990) Class-based storage Hausman et al. (1976) Thonemann and Brandeau (1998) Rosenblatt and Eynan (1989) Eynan and Rosenblatt (1994) Kouvelis and Papanicolaou (1995) Kim and Seidmann (1990) Pan and Wang (1996) Ashayeri et al. 2002) Dual-command Graves et al. (1977) Kim and Seidmann (1990) Graves et al. (1977) Kouvelis and Papanicolaou (1995) Kim and Seidmann (1990) Pan and Wang (1996) Ashayeri et al. (2002) Multi-shuttle Man-on-board AS/RS End-of-aisle AS/RS Carousel and rotary racks Ha and Hwang (1994) Conventional multi-aisle system Jarvis and McDowell (1991) Chew and Tang (1999) Hwang et al. (2004a) 546 J. Gu et al. / European Journal of Operational Research 203 (2010) 539–549 Tang (1999) use their model of the travel time pdf to analyze order batching and storage allocation using a queuing model. Bhaskaran and Malmborg (1989) present a stochastic performance evaluation model for the service process in multi-aisle warehouses with an approximated distribution for the service time that depends on the batch size and the travel distance. de Koster (1994) develops queuing models to evaluate the performance of a warehouse that uses sequential zone picking where each bin is assigned to one or more orders and is transported using a conveyer. If a bin needs to be picked in a speci? c zone, it is transported to the corresponding pick station. After it is picked, it is then put on the conveyor to be sent to the next pick station. The proposed queuing network model evaluates performance measures such as system throughput, picker utilization, and the average number of bins in the system based on factors such as the speed and length of the conveyor, the number of picking stations, and the number of picks per station. Throughput analysis of sorting systems is addressed in Johnson and Meller (2002). They assume that the induction process is the bottleneck of the sorting process, and therefore governs the throughput of the sorting system. This model is later incorporated into a more comprehensive model in Russell and Meller (2003) that integrates order picking and sorting to balance the tradeoffs between picking and packing with different order batch sizes and wave lengths. Russell and Meller (2003) also demonstrate the use of the proposed model in determining whether or not to automate the sorting process and in designing the sorting system. 3. 2. 2. Integrated models Integrated models combine travel time analysis and the service quality criteria with other performance measures, e. g. storage capacity, construction cost, and operational cost. Malmborg (1996) proposes an integrated performance evaluation model for a warehouse having a forward-reserve con? guration. The proposed model uses information about inventory management, forward-reserve space allocation, and storage layout to evaluate costs associated with: storage capacity and space shortage; inventory carrying, replenishing, and expediting; and order picking and internal replenishment for the forward area. Malmborg (2000) evaluates several performance measures for a twin-shuttle AS/RS. Malmborg and Al-Tassan (2000) present a mathematical model to estimated space requirements and order picking cycle times for less than unit load order picking systems that uses randomized storage. The inputs of the model include product parameters, equipment speci? cations, operational policies, and storage area con? gurations. Malmborg (2003) models the dependency of performance measures such as expected total system construction cost and throughput on factors such as the vehicle ? eet size, the number of lifts, and the storage rack con? gurations for warehouse systems that use rail guided vehicles. Table 3 A Summary of the literature on warehouse case studies. Citation Cormier and Kersey (1995) Yoon and Sharp (1995) Zeng et al. (2002) Kallina and Lynn (1976) Brynzer and Johansson (1995) Burkard et al. (1995) van Oudheusden et al. (1988) Dekker et al. (2004) Luxhoj and Skarpness (1986) Johnson and Lofgren (1994) Problems studied Conceptual design Analytic travel time and performance models of storage systems represent a major contribution to warehouse design related research, and a rich set of models is available. Yet despite this wealth of prior results, there is no uni? d approach to travel time modeling or performance modeling for aisle based systems – every system and every set of assumptions leads to a different model. A signi? cant research contribution would be to present a uni? ed theory of travel time in aisle-based systems. 4. Case studies There are some published industrial case studies, which not only provide applications of the various design and operation me thods in practical contexts, but more importantly, also identify possible future research challenges from the industrial point of view. Table 3 lists these case studies, identifying the problems and the types of warehouse they investigated. It is dif? cult to generalize from such a small set of speci? c cases, but one conclusion is that substantial bene? ts can achieved by appropriately designing and operating a warehouse, see for example Zeng et al. (2002), van Oudheusden et al. (1988), and Dekker et al. (2004). On the other hand, one might conclude from these cases that there are few generic simple rules. As just one example, the COI-based storage location assignment rule proposed by Kallina and Lynn (1976) ignores many practical considerations, such as varying weights, item-dependent travel costs, or dependencies between items. Some of these complications have been addressed in the academic research (for example see Table 3 in Section 5. 2 of Gu et al. (2007)), but many others remain unexplored. What these cases illustrate is the gap between the assumption-restricted models in research publications and the complex reality of most warehouses. There is a signi? cant need for more industrial case studies, which will assist the warehouse research community in better understanding the real issues in warehouse design. In turn, research results that have been tested on more realistic data sets will have a more substantial impact on practice. A warehouse design problem classi? cation, such as we have proposed here, might be used to structure such future case studies. 5. Computational systems There are numerous commercial Warehouse Management Systems (WMS) available in the market, which basically help the warehouse manager to keep track of the products, orders, space, equipment, and human resources in a warehouse, and provide rules/algorithms for storage location assignment, order batching, pick routing, etc. Detailed review of these systems is beyond the scope of this paper. Instead, we focus on the academic research addressing computational systems for warehouse design. As previous sections show, research on various warehouse design and Type of warehouse A warehouse for perishable goods that requires Just-In-Time operations An order picking system A distribution center A distribution center Kitting systems that supply materials to assembly lines An AS/RS where a S/R machine can serve any aisle using a switching gangway A man-on-board AS/RS in an integrated steel mill A multi-aisle manual order picking system A distribution center A distribution center Conceptual design Storage location assignment; warehouse dimensioning; storage and order picking policies Storage location assignment using the COI rule Process ? ow; batching; zone picking; Vehicle routing Storage location assignment; batching; routing Storage and routing policies Manpower planning Simulation by decomposition J. Gu et al. / European Journal of Operational Research 203 (2010) 539–549 547 operation problems has been conducted for almost half a century, and as a result, a large number of methodologies, algorithms, and empirical studies have been generated. However, successful implementations of these academic results in current commercial WMS systems or in engineering design software are rare. The prototype systems discussed in this section might shed some light on how academic research results could be utilized to develop more sophisticated computer aided warehouse design and operation systems. Perlmann and Bailey (1988) present computer-aided design software that allows a warehouse designer to quickly generate a set of conceptual design alternatives including building shape, equipment selection, and operational policy selection, and to select from among them the best one based on the speci? d design requirements. To our knowledge, this is the only research paper addressing computer aided warehouse design. There are several papers on the design of warehouse control systems. Linn and Wysk (1990) develop an expert system for AS/ RS control. A control policy determines decisions such as storage location assignment, which item to retrieve if multi-items for the same product are stored, storage and retrieval sequencing, and storage relocation. Several control rules are available for each decision and the control policy is constructed by selecting one individual rule for each decision in a coherent way based on dynamically changing system state variables such as demand levels and traf? c intensity. A similar AS/RS control system is proposed by Wang and Yih (1997) based on neural networks. Ito et al. (2002) propose an intelligent agent based system to model a warehouse, which is composed of three subsystems, i. e. , agent-based communication system, agent-based material handling system, and agent-based inventory planning and control system. The proposed agent-based system is used for the design and implementation of warehouse simulation models. Kim et al. (2002) present an agent based system for the control of a warehouse for cosmetic products. In addition to providing the communication function, the agents also make decisions regarding the operation of the warehouse entities they represented in a dynamic real-time fashion. The absence of research prototypes for computer aided warehouse design is particularly puzzling, given the rapid advancement in computing hardware and software over the past decade. Academic researchers have been at the forefront of computer aided design in other disciplines, and particularly in developing computational models to support design decision making. Warehousing design, as a research domain, would appear to be ripe for this kind of contribution. 6. Conclusions and discussion We have attempted a thorough examination of the published research related to warehouse design, and classi? ed papers based on the main issues addressed. Fig. 1 shows the numbers of papers in each category; there were 50 papers directly addressing warehouse design decisions. There were an additional 50 papers on various analytic models of travel time or performance for speci? c storage systems or aggregates of storage systems. Benchmarking, case studies and other surveys account for 18 more papers. One clear conclusion is that warehouse design related research has focused on analysis, primarily of storage systems rather than synthesis. While this is somewhat surprising, an even more surprising observation is that only 10% of papers directly addressing warehouse design decisions have a publication date of 2000 or later. Given the rapid development of computing hardware and solvers for optimization, simulation, and general mathematical problems, one might reasonably expect a more robust design-centric research literature. We conjecture two primary inhibiting factors: 1. The warehouse design decisions identi? ed in Fig. 1 are tightly coupled, and one cannot be analyzed or determined in isolation from the others. Yet, the models available are not uni? ed in any way and are not ‘‘interoperable†. A researcher addressing one decision would require a research infrastructure integrating all the other decisions. The scope and scale of this infrastructure appears too great a challenge for individual researchers. 2. To properly evaluate the impact of changing one of the design decisions requires estimating changes in the operation of the warehouse. Not only are future operating scenarios not speci? ed in detail, even if they were, the total warehouse performance assessment models, such as high ? delity simulations, are themselves a considerable development challenge. From this, we conclude that the most important future direction for the warehouse design research community is to ? d ways to overcome these two hurdles. Key to that, we believe, will be the emergence of standard representations of warehouse elements, and perhaps some research community based tools, such as open-source analysis and design models. Other avenues for important contributions include studies describing validated or applied design models, and practical case studies that demonstrate the potential bene? ts of applying aca demic research results to real problems, or in identifying the hidden challenges that prevent their successful implementation. Finally, both analytic and simulation models are proposed to solve warehouse problems and each has its respective advantages and disadvantages. Analytic models are usually design-oriented in the sense that they can explore many alternatives quickly to ? nd solutions, although they may not capture all the relevant details of the system. On the other hand, simulation models are usually analysis-oriented – they provide an assessment of a given design, but usually have limited capability for exploring the design space. There is an important need to integrate both approaches to achieve more ? exibility in analyzing warehouse problems. This is also pointed out by Ashayeri and Gelders (1985), and its applicability has been demonstrated by Rosenblatt and Roll (1984) and Rosenblatt et al. (1993). There is an enormous gap between the published warehouse research and the practice of warehouse design and operations. Cross fertilization between the groups of practitioners and researchers appears to be very limited. Effectively bridging this gap would improve the state-of-the-art in warehouse design methodology. Until such communication is established, the prospect of meaningful expansion and enhancement of warehouse design methodology appears limited. Warehousing is an essential component in any supply chain. In the USA, the value of wholesale trade inventories is approximately half a trillion dollars (BEA, 2008), and 2004 inventory carrying costs (interest, taxes, depreciation, insurance, obsolescence and warehousing) have been estimated at 332 billion dollars (Trunick, 2005). To date the research effort focusing on warehousing is a very small fraction of the overall supply chain research. There are many challenging research questions and problems that have not received any attention. 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