{"product_id":"fundamentals-of-supply-chain-theory-isbn-9781119024842","title":"Fundamentals of Supply Chain Theory","description":"\u003cp\u003e\u003cb\u003eComprehensively teaches the fundamentals of supply chain theory \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis book presents the methodology and foundations of supply chain management and also demonstrates how recent developments build upon classic models. The authors focus on strategic, tactical, and operational aspects of supply chain management and cover a broad range of topics from forecasting, inventory management, and facility location to transportation, process flexibility, and auctions. Key mathematical models for optimizing the design, operation, and evaluation of supply chains are presented as well as models currently emerging from the research frontier.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eFundamentals of Supply Chain Theory, Second Edition\u003c\/i\u003e contains new chapters on transportation (traveling salesman and vehicle routing problems), integrated supply chain models, and applications of supply chain theory. New sections have also been added throughout, on topics including machine learning models for forecasting, conic optimization for facility location, a multi-supplier model for supply uncertainty, and a game-theoretic analysis of auctions. The second edition also contains case studies for each chapter that illustrate the real-world implementation of the models presented. This edition also contains nearly 200 new homework problems, over 60 new worked examples, and over 140 new illustrative figures.\u003c\/p\u003e \u003cp\u003ePlentiful teaching supplements are available, including an Instructor’s Manual and PowerPoint slides, as well as MATLAB programming assignments that require students to code algorithms in an effort to provide a deeper understanding of the material.\u003c\/p\u003e \u003cp\u003eIdeal as a textbook for upper-undergraduate and graduate-level courses in supply chain management in engineering and business schools, \u003ci\u003eFundamentals of Supply Chain Theory, Second Edition\u003c\/i\u003e will also appeal to anyone interested in quantitative approaches for studying supply chains.\u003c\/p\u003e \u003cp\u003eList of Figures xxi\u003c\/p\u003e \u003cp\u003eList of Tables xxvii\u003c\/p\u003e \u003cp\u003eList of Algorithms xxix\u003c\/p\u003e \u003cp\u003ePreface xxxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 The Evolution of Supply Chain Theory 1\u003c\/p\u003e \u003cp\u003e1.2 Definitions and Scope 2\u003c\/p\u003e \u003cp\u003e1.3 Levels of Decision Making in Supply Chain Management 4\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Forecasting and Demand Modeling 5\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 5\u003c\/p\u003e \u003cp\u003e2.2 Classical Demand Forecasting Methods 6\u003c\/p\u003e \u003cp\u003e2.3 Forecast Accuracy 15\u003c\/p\u003e \u003cp\u003e2.4 Machine Learning in Demand Forecasting 17\u003c\/p\u003e \u003cp\u003e2.5 Demand Modeling Techniques 23\u003c\/p\u003e \u003cp\u003e2.6 Bass Diffusion Model 24\u003c\/p\u003e \u003cp\u003e2.7 Leading Indicator Approach 30\u003c\/p\u003e \u003cp\u003e2.8 Discrete Choice Models 33\u003c\/p\u003e \u003cp\u003eCase Study: Semiconductor Demand Forecasting at Intel 38\u003c\/p\u003e \u003cp\u003eProblems 39\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Deterministic Inventory Models 45\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction to Inventory Modeling 45\u003c\/p\u003e \u003cp\u003e3.2 Continuous Review: The Economic Order Quantity Problem 51\u003c\/p\u003e \u003cp\u003e3.3 Power of Two Policies 57\u003c\/p\u003e \u003cp\u003e3.4 The EOQ with Quantity Discounts 60\u003c\/p\u003e \u003cp\u003e3.5 The EOQ with Planned Backorders 67\u003c\/p\u003e \u003cp\u003e3.6 The Economic Production Quantity Model 70\u003c\/p\u003e \u003cp\u003e3.7 Periodic Review: The Wagner–Whitin Model 72\u003c\/p\u003e \u003cp\u003eCase Study: Ice Cream Production and Inventory at Scotsburn Dairy Group 76\u003c\/p\u003e \u003cp\u003eProblems 77\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Stochastic Inventory Models: Periodic Review 87\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Inventory Policies 87\u003c\/p\u003e \u003cp\u003e4.2 Demand Processes 89\u003c\/p\u003e \u003cp\u003e4.3 Periodic Review with Zero Fixed Costs: Base-Stock Policies 89\u003c\/p\u003e \u003cp\u003e4.4 Periodic Review with Nonzero Fixed Costs: (\u003ci\u003es\u003c\/i\u003e; \u003ci\u003eS\u003c\/i\u003e) Policies 114\u003c\/p\u003e \u003cp\u003e4.5 Policy Optimality 123\u003c\/p\u003e \u003cp\u003e4.6 Lost Sales 136\u003c\/p\u003e \u003cp\u003eCase Study: Optimization of Warranty Inventory at Hitachi 138\u003c\/p\u003e \u003cp\u003eProblems 140\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Stochastic Inventory Models: Continuous Review 155\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 (\u003ci\u003er\u003c\/i\u003e; \u003ci\u003eQ\u003c\/i\u003e) Policies 155\u003c\/p\u003e \u003cp\u003e5.2 Exact (\u003ci\u003er\u003c\/i\u003e; \u003ci\u003eQ\u003c\/i\u003e) Problem with Continuous Demand Distribution 156\u003c\/p\u003e \u003cp\u003e5.3 Approximations for (\u003ci\u003er\u003c\/i\u003e; Q) Problem with Continuous Distribution 161\u003c\/p\u003e \u003cp\u003e5.4 Exact (\u003ci\u003er\u003c\/i\u003e; \u003ci\u003eQ\u003c\/i\u003e) Problem with Continuous Distribution: Properties of Optimal \u003ci\u003er\u003c\/i\u003e and \u003ci\u003eQ\u003c\/i\u003e 170\u003c\/p\u003e \u003cp\u003e5.5 Exact (\u003ci\u003er\u003c\/i\u003e; \u003ci\u003eQ\u003c\/i\u003e) Problem with Discrete Distribution 177\u003c\/p\u003e \u003cp\u003eCase Study: (\u003ci\u003er\u003c\/i\u003e; \u003ci\u003eQ\u003c\/i\u003e) Inventory Optimization at Dell 180\u003c\/p\u003e \u003cp\u003eProblems 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Multiechelon Inventory Models 187\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 187\u003c\/p\u003e \u003cp\u003e6.2 Stochastic-Service Models 191\u003c\/p\u003e \u003cp\u003e6.3 Guaranteed-Service Models 203\u003c\/p\u003e \u003cp\u003e6.4 Closing Thoughts 217\u003c\/p\u003e \u003cp\u003eCase Study: Multiechelon Inventory Optimization at Procter \u0026amp; Gamble 222\u003c\/p\u003e \u003cp\u003eProblems 223\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Pooling and Flexibility 229\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 229\u003c\/p\u003e \u003cp\u003e7.2 The Risk-Pooling Effect 230\u003c\/p\u003e \u003cp\u003e7.3 Postponement 236\u003c\/p\u003e \u003cp\u003e7.4 Transshipments 237\u003c\/p\u003e \u003cp\u003e7.5 Process Flexibility 243\u003c\/p\u003e \u003cp\u003e7.6 A Process Flexibility Optimization Model 253\u003c\/p\u003e \u003cp\u003eCase Study: Risk Pooling and Inventory Management at Yedioth Group 257\u003c\/p\u003e \u003cp\u003eProblems 259\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Facility Location Models 267\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 267\u003c\/p\u003e \u003cp\u003e8.2 The Uncapacitated Fixed-Charge Location Problem 269\u003c\/p\u003e \u003cp\u003e8.3 Other Minisum Models 295\u003c\/p\u003e \u003cp\u003e8.4 Covering Models 305\u003c\/p\u003e \u003cp\u003e8.5 Other Facility Location Problems 314\u003c\/p\u003e \u003cp\u003e8.6 Stochastic and Robust Location Models 317\u003c\/p\u003e \u003cp\u003e8.7 Supply Chain Network Design 321\u003c\/p\u003e \u003cp\u003eCase Study: Locating Fire Stations in Istanbul 332\u003c\/p\u003e \u003cp\u003eProblems 335\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Supply Uncertainty 355\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction to Supply Uncertainty 355\u003c\/p\u003e \u003cp\u003e9.2 Inventory Models with Disruptions 356\u003c\/p\u003e \u003cp\u003e9.3 Inventory Models with Yield Uncertainty 365\u003c\/p\u003e \u003cp\u003e9.4 A Multisupplier Model 372\u003c\/p\u003e \u003cp\u003e9.5 The Risk-Diversification Effect 384\u003c\/p\u003e \u003cp\u003e9.6 A Facility Location Model with Disruptions 387\u003c\/p\u003e \u003cp\u003eCase Study: Disruption Management at Ford 395\u003c\/p\u003e \u003cp\u003eProblems 396\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 The Traveling Salesman Problem 403\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Supply Chain Transportation 403\u003c\/p\u003e \u003cp\u003e10.2 Introduction to the TSP 404\u003c\/p\u003e \u003cp\u003e10.3 Exact Algorithms for the TSP 408\u003c\/p\u003e \u003cp\u003e10.4 Construction Heuristics for the TSP 416\u003c\/p\u003e \u003cp\u003e10.5 Improvement Heuristics for the TSP 436\u003c\/p\u003e \u003cp\u003e10.6 Bounds and Approximations for the TSP 442\u003c\/p\u003e \u003cp\u003e10.7 World Records 452\u003c\/p\u003e \u003cp\u003eCase Study: Routing Meals on Wheels Deliveries 453\u003c\/p\u003e \u003cp\u003eProblems 455\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 The Vehicle Routing Problem 463\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction to the VRP 463\u003c\/p\u003e \u003cp\u003e11.2 Exact Algorithms for the VRP 468\u003c\/p\u003e \u003cp\u003e11.3 Heuristics for the VRP 475\u003c\/p\u003e \u003cp\u003e11.4 Bounds and Approximations for the VRP 495\u003c\/p\u003e \u003cp\u003e11.5 Extensions of the VRP 498\u003c\/p\u003e \u003cp\u003eCase Study: ORION: Optimizing Delivery Routes at UPS 501\u003c\/p\u003e \u003cp\u003eProblems 502\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Integrated Supply Chain Models 511\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 511\u003c\/p\u003e \u003cp\u003e12.2 A Location–Inventory Model 512\u003c\/p\u003e \u003cp\u003e12.3 A Location–Routing Model 529\u003c\/p\u003e \u003cp\u003e12.4 An Inventory–Routing Model 531\u003c\/p\u003e \u003cp\u003eCase Study: Inventory–Routing at Frito-Lay 534\u003c\/p\u003e \u003cp\u003eProblems 535\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 The Bullwhip Effect 539\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 539\u003c\/p\u003e \u003cp\u003e13.2 Proving the Existence of the Bullwhip Effect 541\u003c\/p\u003e \u003cp\u003e13.3 Reducing the Bullwhip Effect 552\u003c\/p\u003e \u003cp\u003e13.4 Centralizing Demand Information 555\u003c\/p\u003e \u003cp\u003eCase Study: Reducing the Bullwhip Effect at Philips Electronics 556\u003c\/p\u003e \u003cp\u003eProblems 559\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Supply Chain Contracts 563\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 563\u003c\/p\u003e \u003cp\u003e14.2 Introduction to Game Theory 564\u003c\/p\u003e \u003cp\u003e14.3 Notation 565\u003c\/p\u003e \u003cp\u003e14.4 Preliminary Analysis 566\u003c\/p\u003e \u003cp\u003e14.5 The Wholesale Price Contract 568\u003c\/p\u003e \u003cp\u003e14.6 The Buyback Contract 574\u003c\/p\u003e \u003cp\u003e14.7 The Revenue Sharing Contract 578\u003c\/p\u003e \u003cp\u003e14.8 The Quantity Flexibility Contract 581\u003c\/p\u003e \u003cp\u003eCase Study: Designing a Shared-Savings Contract at McGriff Treading Company 584\u003c\/p\u003e \u003cp\u003eProblems 586\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Auctions 591\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 591\u003c\/p\u003e \u003cp\u003e15.2 The English Auction 593\u003c\/p\u003e \u003cp\u003e15.3 Combinatorial Auctions 595\u003c\/p\u003e \u003cp\u003e15.4 The Vickrey–Clarke–Groves Auction 599\u003c\/p\u003e \u003cp\u003eCase Study: Procurement Auctions for Mars 608\u003c\/p\u003e \u003cp\u003eProblems 610\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Applications of Supply Chain Theory 615\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 615\u003c\/p\u003e \u003cp\u003e16.2 Electricity Systems 615\u003c\/p\u003e \u003cp\u003e16.3 Health Care 625\u003c\/p\u003e \u003cp\u003e16.4 Public Sector Operations 632\u003c\/p\u003e \u003cp\u003eCase Study: Optimization of the Natural Gas Supply Chain in China 639\u003c\/p\u003e \u003cp\u003eProblems 641\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A: Multiple-Chapter Problems 643\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eProblems 643\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix B: How to Write Proofs: A Short Guide 651\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eB.1 How to Prove Anything 651\u003c\/p\u003e \u003cp\u003eB.2 Types of Things You May Be Asked to Prove 653\u003c\/p\u003e \u003cp\u003eB.3 Proof Techniques 655\u003c\/p\u003e \u003cp\u003eB.4 Other Advice 657\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix C: Helpful Formulas 661\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eC.1 Positive and Negative Parts 661\u003c\/p\u003e \u003cp\u003eC.2 Standard Normal Random Variables 662\u003c\/p\u003e \u003cp\u003eC.3 Loss Functions 662\u003c\/p\u003e \u003cp\u003eC.4 Differentiation of Integrals 665\u003c\/p\u003e \u003cp\u003eC.5 Geometric Series 666\u003c\/p\u003e \u003cp\u003eC.6 Normal Distributions in Excel and MATLAB 666\u003c\/p\u003e \u003cp\u003eC.7 Partial Expectations 667\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix D: Integer Optimization Techniques 669\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eD.1 Lagrangian Relaxation 669\u003c\/p\u003e \u003cp\u003eD.2 Column Generation 675\u003c\/p\u003e \u003cp\u003eReferences 681\u003c\/p\u003e \u003cp\u003eSubject Index 712\u003c\/p\u003e \u003cp\u003eAuthor Index 725\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eLawrence V. Snyder, PhD,\u003c\/b\u003e is Professor in the Department of Industrial and Systems Engineering and Co-Director of the Institute for Data, Intelligent Systems, and Computation at Lehigh University. He has written numerous journal articles and tutorials on optimization models for supply chains and other infrastructure systems, with a focus on decision-making under uncertainty. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eZuo-Jun Max Shen, PhD,\u003c\/b\u003e is Professor in the Department of Industrial Engineering and Operations Research and the Department of Civil and Environmental Engineering at the University of California at Berkeley. He is an INFORMS Fellow and has published and consulted extensively in the areas of integrated supply chain design and management, data driven decision making, and systems optimization.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eComprehensively teaches the fundamentals of supply chain theory\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eThis book presents the methodology and foundations of supply chain management and also demonstrates how recent developments build upon classic models. The authors focus on strategic, tactical, and operational aspects of supply chain management and cover a broad range of topics from forecasting, inventory management, and facility location to transportation, process flexibility, and auctions. Key mathematical models for optimizing the design, operation, and evaluation of supply chains are presented as well as models currently emerging from the research frontier. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eFundamentals of Supply Chain Theory, Second Edition\u003c\/i\u003e contains new chapters on transportation (traveling salesman and vehicle routing problems), integrated supply chain models, and applications of supply chain theory. New sections have also been added throughout, on topics including machine learning models for forecasting, conic optimization for facility location, a multi-supplier model for supply uncertainty, and a game-theoretic analysis of auctions. The second edition also contains case studies for each chapter that illustrate the real-world implementation of the models presented. This edition also contains nearly 200 new homework problems, over 60 new worked examples, and over 140 new illustrative figures. \u003c\/p\u003e\u003cp\u003ePlentiful teaching supplements are available, including an Instructor's Manual and PowerPoint slides, as well as MATLAB programming assignments that require students to code algorithms in an effort to provide a deeper understanding of the material. \u003c\/p\u003e\u003cp\u003eIdeal as a textbook for upper-undergraduate and graduate-level courses in supply chain management in engineering and business schools, \u003ci\u003eFundamentals of Supply Chain Theory, Second Edition\u003c\/i\u003e will also appeal to anyone interested in quantitative approaches for studying supply chains.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989265170661,"sku":"NP9781119024842","price":110.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119024842.jpg?v=1761783438","url":"https:\/\/k12savings.com\/es\/products\/fundamentals-of-supply-chain-theory-isbn-9781119024842","provider":"K12savings","version":"1.0","type":"link"}