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by Zuo-Jun Max Shen, Lawrence V. Snyder
Fundamentals of Supply Chain Theory, 2nd Edition
Cover
Preface
Goals of This Book
Who Should Read This Book
Organization of This Book
New in the Second Edition
Resources for Instructors
Acknowledgments
Chapter 1: Introduction
1.1 The Evolution of Supply Chain Theory
1.2 Definitions and Scope
1.3 Levels of Decision‐Making in Supply Chain Management
Chapter 2: Forecasting and Demand Modeling
2.1 Introduction
2.2 Classical Demand Forecasting Methods
2.3 ForecastAccuracy
2.4 Machine Learning in Demand Forecasting
2.5 Demand Modeling Techniques
2.6 Bass Diffusion Model
2.7 Leading Indicator Approach
2.8 Discrete ChoiceModels
PROBLEMS
Chapter 3: Deterministic Inventory Models
3.1 Introduction to Inventory Modeling
3.2 Continuous Review: The Economic Order Quantity Problem
3.3 Power‐of‐Two Policies
3.4 The EOQ with Quantity Discounts
3.5 The EOQ with PlannedBackorders
3.6 The Economic Production Quantity Model
3.7 Periodic Review: The Wagner–WhitinModel
PROBLEMS
Chapter 4: Stochastic Inventory Models: PeriodicReview
4.1 Inventory Policies
4.2 Demand Processes
4.3 Periodic Review with Zero Fixed Costs: Base‐Stock Policies
4.4 Periodic Review with Nonzero Fixed Costs: Policies
4.5 Policy Optimality
4.6 Lost Sales
PROBLEMS
Chapter 5: Stochastic Inventory Models: Continuous Review
5.1 Policies
5.2 Exact Problem with Continuous Demand Distribution
5.3 Approximations for Problem with Continuous Distribution
5.4 Exact Problemwith Continuous Distribution: Properties of Optimal and Q
5.5 Exact Problem with Discrete Distribution
PROBLEMS
Chapter 6: Multiechelon InventoryModels
6.1 Introduction
6.2 Stochastic‐ServiceModels
6.3 Guaranteed‐ServiceModels
6.4 Closing Thoughts
PROBLEMS
Chapter 7: Pooling and Flexibility
7.1 Introduction
7.2 The Risk‐Pooling Effect
7.3 Postponement
7.4 Transshipments
7.5 Process Flexibility
7.6 A Process Flexibility Optimization Model
PROBLEMS
Chapter 8: Facility Location Models
8.1 Introduction
8.2 The Uncapacitated Fixed‐Charge Location Problem
8.3 Other Minisum Models
8.4 Covering Models
8.5 Other Facility Location Problems
8.6 Stochastic and Robust Location Models
8.7 Supply Chain Network Design
PROBLEMS
Chapter 9: Supply Uncertainty
9.1 Introduction to Supply Uncertainty
9.2 Inventory Models withDisruptions
9.3 Inventory Models with YieldUncertainty
9.4 A MultisupplierModel
9.5 The Risk‐Diversification Effect
9.6 A Facility Location Model withDisruptions
PROBLEMS
Chapter 10: The Traveling Salesman Problem
10.1 Supply Chain Transportation
10.2 Introduction to the TSP
10.3 Exact Algorithms for the TSP
10.4 Construction Heuristics for theTSP
10.5 Improvement Heuristics for theTSP
10.6 Bounds and Approximations for the TSP
10.7 World Records
PROBLEMS
Chapter 11: The Vehicle Routing Problem
11.1 Introduction to the VRP
11.2 Exact Algorithms for the VRP
11.3 Heuristics for the VRP
11.4 Bounds and Approximations for the VRP
11.5 Extensions of the VRP
PROBLEMS
Chapter 12: Integrated Supply Chain Models
12.1 Introduction
12.2 A Location–InventoryModel
12.3 A Location–Routing Model
12.4 An Inventory–Routing Model
PROBLEMS
Chapter 13: The Bullwhip Effect
13.1 Introduction
13.2 Proving the Existence of the Bullwhip Effect
13.3 Reducing the Bullwhip Effect
13.4 Centralizing Demand Information
PROBLEMS
Chapter 14: Supply Chain Contracts
14.1 Introduction
14.2 Introduction to Game Theory
14.3 Notation
14.4 Preliminary Analysis
14.5 The Wholesale Price Contract
14.6 The Buyback Contract
14.7 The Revenue Sharing Contract
14.8 The Quantity Flexibility Contract
PROBLEMS
Chapter 15: Auctions
15.1 Introduction
15.2 The English Auction
15.3 Combinatorial Auctions
15.4 The Vickrey–Clarke–GrovesAuction
PROBLEMS
Chapter 16: Applications of Supply Chain Theory
16.1 Introduction
16.2 Electricity Systems
16.3 Health Care
16.4 Public Sector Operations
PROBLEMS
Appendix A: Multiple‐Chapter Problems
PROBLEMS
Appendix B: How to Write Proofs: A Short Guide
B.1 How to Prove Anything
B.2 Types of Things You May Be Asked to Prove
B.3 Proof Techniques
B.4 Other Advice
Appendix C: Helpful Formulas
C.1 Positive and Negative Parts
C.2 Standard Normal Random Variables
C.3 Loss Functions
C.4 Differentiation of Integrals
C.5 Geometric Series
C.6 Normal Distributions in Excel and MATLAB
C.7 Partial Expectations
Appendix D: Integer Optimization Techniques
D.1 Lagrangian Relaxation
D.2 Column Generation
Reference
Subject Index
Author Index
End User License Agreement
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