It provides a structured description of all the most important components in the topic area, and supports it by many real-world leading edge company cases. Sean Senior, Lawrence V. Snyder, PhD, 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.
Problem with Continuous Distribution, 5.4 Exact ISBN Number: 9780627033308: Author/s: MBANJE S: Format: Book: Edition: 1ST - 2015: Publisher: VAN SCHAIK: Subscribe to our newsletters … and Q, 5.5 Exact Most of my courses on supply chain management were … Goodreads helps you keep track of books you want to read. O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers. Chloe Gong has a lot going on. Get Fundamentals of Supply Chain Theory, 2nd Edition now with O’Reilly online learning. Comprehensively teaches the fundamentals of supply chain theory This book presents the methodology and foundations of supply chain management and also demonstrates how recent developments build upon classic models.
It addresses the most fundamental concepts and best practices of contemporary supply chain management. It addresses the most fundamental concepts and best practices of contemporary supply chain management. Just a moment while we sign you in to your Goodreads account. This is your opportunity to take the next step in your career …, by Problem with Discrete Distribution, 7.6 A Process Flexibility Optimization Model, 8.2 The Uncapacitated Fixed‐Charge Location Problem, 8.6 Stochastic and Robust Location Models, 9.3 Inventory Models with YieldUncertainty, 9.6 A Facility Location Model withDisruptions, Chapter 10: The Traveling Salesman Problem, 10.6 Bounds and Approximations for the TSP, 11.4 Bounds and Approximations for the VRP, Chapter 12: Integrated Supply Chain Models, 13.2 Proving the Existence of the Bullwhip Effect, Chapter 16: Applications of Supply Chain Theory, Appendix B: How to Write Proofs: A Short Guide, B.2 Types of Things You May Be Asked to Prove, C.6 Normal Distributions in Excel and MATLAB, Appendix D: Integer Optimization Techniques, Get unlimited access to books, videos, and. Zuo-Jun Max Shen, ISBN: 978-1-119-02484-2 Kelsey Hightower, Kubernetes radically changes the way applications are built and deployed in the cloud. Not to mention the vast amount of spelling and printed mistakes. 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. 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 book is particularly suitable for those who want to make a firm grasp of the subject without spending a luxury of time. by © 2020, O’Reilly Media, Inc. All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. 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. Since its introduction …, To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, …, by This is a dummy description. Joe Beda, We’d love your help. This book is not yet featured on Listopia. Bassens Aglaé, “The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural ….
Download Product Flyer is to download PDF in new tab. Joe Baron, Welcome back. 784 Pages, Comprehensively teaches the fundamentals of supply chain theory. Terms of service • Privacy policy • Editorial independence, Fundamentals of Supply Chain Theory, 2nd Edition, 1.3 Levels of Decision‐Making in Supply Chain Management, Chapter 2: Forecasting and Demand Modeling, 2.4 Machine Learning in Demand Forecasting, Chapter 3: Deterministic Inventory Models, 3.2 Continuous Review: The Economic Order Quantity Problem, 3.6 The Economic Production Quantity Model, 3.7 Periodic Review: The Wagner–WhitinModel, Chapter 4: Stochastic Inventory Models: PeriodicReview, 4.3 Periodic Review with Zero Fixed Costs: Base‐Stock Policies, 4.4 Periodic Review with Nonzero Fixed Costs: Tim Bixler, Lawrence V. Snyder, PhD, 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. Be the first to ask a question about Fundamentals of Supply Chain Management. Well, I was seeking a short introduction about supply chain management. Refresh and try again. COVID-19 Discipline-Specific Online Teaching Resources, Peer Review & Editorial Office Management, The Editor's Role: Development & Innovation, People In Research: Interviews & Inspiration. Request permission to reuse content from this site, 1.1 The Evolution of Supply Chain Theory 1, 1.3 Levels of Decision Making in Supply Chain Management 4, 2.2 Classical Demand Forecasting Methods 6, 2.4 Machine Learning in Demand Forecasting 17, Case Study: Semiconductor Demand Forecasting at Intel 38, 3.1 Introduction to Inventory Modeling 45, 3.2 Continuous Review: The Economic Order Quantity Problem 51, 3.6 The Economic Production Quantity Model 70, 3.7 Periodic Review: The Wagner–Whitin Model 72, Case Study: Ice Cream Production and Inventory at Scotsburn Dairy Group 76, 4 Stochastic Inventory Models: Periodic Review 87, 4.3 Periodic Review with Zero Fixed Costs: Base-Stock Policies 89, 4.4 Periodic Review with Nonzero Fixed Costs: (s; S) Policies 114, Case Study: Optimization of Warranty Inventory at Hitachi 138, 5 Stochastic Inventory Models: Continuous Review 155, 5.2 Exact (r; Q) Problem with Continuous Demand Distribution 156, 5.3 Approximations for (r; Q) Problem with Continuous Distribution 161, 5.4 Exact (r; Q) Problem with Continuous Distribution: Properties of Optimal r and Q 170, 5.5 Exact (r; Q) Problem with Discrete Distribution 177, Case Study: (r; Q) Inventory Optimization at Dell 180, Case Study: Multiechelon Inventory Optimization at Procter & Gamble 222, 7.6 A Process Flexibility Optimization Model 253, Case Study: Risk Pooling and Inventory Management at Yedioth Group 257, 8.2 The Uncapacitated Fixed-Charge Location Problem 269, 8.6 Stochastic and Robust Location Models 317, Case Study: Locating Fire Stations in Istanbul 332, 9.1 Introduction to Supply Uncertainty 355, 9.2 Inventory Models with Disruptions 356, 9.3 Inventory Models with Yield Uncertainty 365, 9.6 A Facility Location Model with Disruptions 387, Case Study: Disruption Management at Ford 395, 10.4 Construction Heuristics for the TSP 416, 10.5 Improvement Heuristics for the TSP 436, 10.6 Bounds and Approximations for the TSP 442, Case Study: Routing Meals on Wheels Deliveries 453, 11.4 Bounds and Approximations for the VRP 495, Case Study: ORION: Optimizing Delivery Routes at UPS 501, Case Study: Inventory–Routing at Frito-Lay 534, 13.2 Proving the Existence of the Bullwhip Effect 541, Case Study: Reducing the Bullwhip Effect at Philips Electronics 556, 14.8 The Quantity Flexibility Contract 581, Case Study: Designing a Shared-Savings Contract at McGriff Treading Company 584, 15.4 The Vickrey–Clarke–Groves Auction 599, Case Study: Procurement Auctions for Mars 608, 16 Applications of Supply Chain Theory 615, Case Study: Optimization of the Natural Gas Supply Chain in China 639, Appendix A: Multiple-Chapter Problems 643, Appendix B: How to Write Proofs: A Short Guide 651, B.2 Types of Things You May Be Asked to Prove 653, C.6 Normal Distributions in Excel and MATLAB 666, Appendix D: Integer Optimization Techniques 669.
Fundamentals of supply chain management is based on the author’s many years of teaching and research experience. Biff Gaut, There are no discussion topics on this book yet.
Policies, Chapter 5: Stochastic Inventory Models: Continuous Review, 5.2 Exact Download Product Flyer is to download PDF in new tab. Comprehensively teaches the fundamentals of supply chain theory. 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. The second edition also contains case studies for each chapter that illustrate the real-world implementation of the models presented.
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