shortest possible route that visits each city exactly once and returns to the origin city? It is an NP-hard problem in combinatorial optimization‚ important in operations research and theoretical computer science. The problem was first formulated in 1930 and is one of the most intensively studied problems in optimization. It is used as a benchmark for many optimization methods. Even though the problem is computationally difficult‚[1] a large number of heuristics and exact methods are known‚ so that
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QUANTITATIVE METHODS II Mid-Term Examination Monday‚ October22‚ 2012 Time : 150 minutes Total No. of Pages :17 Name ________________________ Total No. of Questions: 3 Roll No. ________________________ Total marks:35 Section: _______________________ Instructions 1. This is a Closed Book Exam. You are not allowed to carry anything other than stationary and calculator. 2. Answer all questions only in the space provided following the question. 3.
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What is logistics? "Logistics means having the right thing‚ at the right place‚ at the right time." [pic] Logistics - (business definition) Logistics is defined as a business planning framework for the management of material‚ service‚ information and capital flows. It includes the increasingly complex information‚ communication and control systems required in today ’s business environment. -- (Logistix Partners Oy‚ Helsinki‚ FI‚ 1996) Logistics - (military definition) The science of planning
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levels from 13.7 percent to 9.1 percent. MAP’s inventory investment is 22 percent of total assets and inventory carrying costs are nearing 27 percent of inventory value‚ both of which are consistent with manufacturing industry norms. The outbound logistics is an essential primary activity of the value chain no matter what industry. Question 2 Agricultural commodities and products from the Midwest are shipped to locations around the globe. If global demand continues to grow‚ how will different transportation
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Eindhoven‚ December 2010 Coordination and optimization of the inter-auction transport of floricultural products at FloraHolland by J.D.G. Dat (Diederik) BSc Industrial Engineering and Management Science - TU/e (2008) Student identity number 0577763 in partial fulfilment of the requirements for the degree of Master of Science in Operations Management and Logistics Supervisors: Dr. T. van Woensel‚ TU/e‚ OPAC Prof. Dr. A.G. De Kok‚ TU/e‚ OPAC M. Van Veen MSc‚ FloraHolland‚ Concern Logistiek
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Contents Summary 2 The flow of inventory 2 The improvement of logistics 2 Inventory Cost 3 Delivery Process 4 Other company initiatives to Gain Profitability 4 Launching Amazon in the UK and Germany 4 Launching Amazon in France 4 Amazon’s challenges 5 Globalization and localization 5 Theories 7 Integrated Supply Chain 7 8R’s 8 Supply Chain Issues 9 Appendix 10 Summary The flow of
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Logistics from a Historical Perspective R-Jay P. Quiambao‚ CIE Defining Logistics • The origin of the term logistics comes from the French word ―logistique‚‖ which is derived from ―loger‖ meaning quarters (as in quartering troops). 2 Defining Logistics • The practice of logistics in the military sector has been in existence for as long as there have been organized armed forces: – the supply‚ movement‚ and maintenance of an armed force both in peacetime and in battle conditions. 3 Logistics
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Inventory Management of a Fast Fashion Fast-Fashion Retail Network Felipe Caro UCLA Anderson School of Management fcaro@anderson.ucla.edu 2012 KUMPEM FORUM ANNUAL RETAIL CONFERENCE Koç University May 18‚ 2012 University‚ 18 Caro: “Inventory Management of a Fast-Fashion Retail Network” Industry-Academia Collaboration • Felipe Caro‚ UCLA Anderson • Jé é i G lli Jérémie Gallien‚ London Business S h l L d B i School • Miguel Díaz‚ Zara CFO • Javier García‚ Zara • José Manuel Corredoira‚ Zara
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Backwards: Reverse Logistics Trends and Practices Going Backwards: Reverse Logistics Trends and Practices University of Nevada‚ Reno Center for Logistics Management Dr. Dale S. Rogers Dr. Ronald S. Tibben-Lembke © 1998‚ Reverse Logistics Executive Council Contents in Brief CHAPTER 1: SIZE AND IMPORTANCE OF REVERSE LOGISTICS 1 CHAPTER 2: MANAGING RETURNS 37 CHAPTER 3: DISPOSITION AND THE SECONDARY MARKET 73 CHAPTER 4: REVERSE LOGISTICS AND THE ENVIRONMENT
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The linear probability model‚ ctd. When Y is binary‚ the linear regression model Yi = β0 + β1Xi + ui is called the linear probability model. • The predicted value is a probability: • E(Y|X=x) = Pr(Y=1|X=x) = prob. that Y = 1 given x • Yˆ = the predicted probability that Yi = 1‚ given X • β1 = change in probability that Y = 1 for a given ∆x: Pr(Y = 1 | X = x + ∆x ) − Pr(Y = 1 | X = x ) β1 = ∆x 5 Example: linear probability model‚ HMDA data Mortgage denial v. ratio of debt payments to income (P/I
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