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Modeling the Supply Chain

ISBN-10: 0495126098
ISBN-13: 9780495126096
Edition: 2nd 2007
List price: $298.95
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Description: With an emphasis on modeling techniques, Jeremy Shapiro's MODELING THE SUPPLY CHAIN is the perfect tool for courses in supply chain management or for professional managers who seek better analytical tools for managing their supply chains,  More...

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Book details

List price: $298.95
Edition: 2nd
Copyright year: 2007
Publisher: Brooks/Cole
Publication date: 10/17/2006
Binding: Hardcover
Pages: 618
Size: 7.75" wide x 9.50" long x 1.00" tall
Weight: 2.640
Language: English

With an emphasis on modeling techniques, Jeremy Shapiro's MODELING THE SUPPLY CHAIN is the perfect tool for courses in supply chain management or for professional managers who seek better analytical tools for managing their supply chains, information technologists who are responsible for developing and/or maintaining such tools, and consultants who conduct supply chain studies using models. Shapiro examines in detail the roles of data, models, and modeling systems in helping companies improve the management of their supply chains. The focus is on optimization models based on linear and mixed integer programming. The complementary role played by descriptive models in developing data inputs for optimization models is thoroughly reviewed. Using numerous applications, Shapiro clearly illustrates that when properly implemented, these methodologies can create accurate and comprehensive models of great practical value. The book also shows how competitive advantage in supply chain management can be most fully realized by developing and applying optimization modeling systems.

Jeremy Shapiro is a professor emeritus in the Sloan School of Management at MIT. For nine years he served as the co-director of MIT's Operations Research Center. Previously, he was employed by Procter and Gamble, Hughes Aircraft Company, and the Port of New York Authority. He received his B.M.E. and M.I.E. degrees from Cornell University and a Ph.D. degree in Operations Research from Stanford University. Dr. Shapiro has published over 60 papers in the areas of operations research, mathematical programming, logistics, supply chain management, finance, and marketing. He is also president of SLIM Technologies, LLC, a Boston-based firm specializing in the implementation and application of modeling systems for supply chain management and other business problems. His outside interests include reading, traveling, biking and playing tennis. He is married to Martha J. Heigham and has three children, Alexander, Lara, and Nicholas.

Introduction to Supply Chain Management and Supporting Information Technologies
Supply Chain Management, Integrated Planning, and Models
Fundamentals of Supply Chain Management
Overview of Supply Chain Models and Modeling Systems
Supply Chain Modeling Incorporates Concepts from Several Management Disciplines
Innovations in Information Technology Require and Support Supply Chain Modeling
Organizational Adaptation to Integrated Supply Chain Management and Modeling
Notes
References
Information Technology
Enterprise Resource Planning Systems
E-Commerce
Radio-Frequency Identification
Comparison of Transactional and Analytical Information Technology
Hierarchy of Supply Chain Systems
Final Thoughts
Exercises
Notes
References
Models
Fundamentals of Optimization Models: Linear Programming
Linear Programming Modeling Examples
Properties of Linear Programming Models
Interpreting an Optimal Linear Programming Solution
Multiple-Objective Optimization
Stochastic Programming
Final Thoughts
Exercises
Notes
References
The Simplex Method of Linear Programming
Fundamentals of Optimization Models: Mixed-Integer Programming
Mixed-Integer Programming Modeling Vignettes
Distribution Center Location Models
Supply Chain Network Optimization Models
Designing and Implementing Optimization Modeling Systems for Strategic and Tactical Planning
Optimization Software
Final Thoughts
Exercises
Notes
References
The Branch-and-Bound Method for Mixed-Integer Programming
Unified Optimization Methodology for Operational Planning Problems
Heuristic Methods for Combinatorial Optimization Problems
Overview of the Unified Optimization Methodology
Unified Optimization Methodology Applied to Vehicle Routing
Unified Optimization Methodology Applied to Production Scheduling
Final Thoughts
Exercises
Notes
References
A Recursive Method for Optimizing Routes
Overview of Descriptive Models
Demand Forecasting
Simulation Models
Systems Dynamics Models
Activity-Based Costing
Metrics, Data Envelopment Analysis, and the Balanced Scorecard
Final Thoughts
Exercises
Notes
References
Supply Chain Decision Databases
Data Aggregations
Facility Data
Transportation Network Data
Inventory Data
Supplier Data
Cost Data
Customer and Market Data
Systemwide and Policy Data
Model Output Data
Mapping and Other Graphical Displays of Data Inputs and Outputs
Connections Among Supply Chain Decision Databases
Final Thoughts
Exercises
Notes
References
Applications
Strategic and Tactical Supply Chain Planning
Resources and the Resource-Based View of the Firm
Strategic Analysis of Logistics Supply Chains
Two Logistics Strategy Applications
Strategic Analysis of Manufacturing Supply Chains
Two Manufacturing Strategy Applications
Manufacturing Postponement Strategies
Tactical Planning
Two Tactical Planning Applications
Stages of a Strategic Supply Chain Study
Final Thoughts
Exercises
Notes
References
Operational Supply Chain Planning
Taxonomies of Operational Planning Problems
Modeling Systems for Operational Planning
Vehicle-Routing System for an E-Commerce Company
Production-Planning System for a Semiconductor Company
Dynamic Sourcing in a Reverse Logistics Company
Final Thoughts
Exercises
Notes
References
Inventory Planning
Classical Inventory Models
Inventory Deployment Models for Strategic Supply Chain Design
Strategic Inventory Deployment Across a Retailing Distribution Network
Aggregate Inventory Models for Tactical Supply Chain Planning
Spare-Parts Inventory Management
Inventory Management in Manufacturing Supply Chains
Final Thoughts
Exercises
Notes
References
Supply Chain Decision Making Under Uncertainty
Scenario Planning
Contingency Planning
Decision Trees
Stochastic Programming
Stochastic Programming Applications
Risk Management of Supply Chains
Final Thoughts
Exercises
Notes
References
The Future
Beyond Supply Chain Optimization to Enterprise Optimization
Overview of Enterprise Optimization Modeling
Integrating Supply Chain and Demand Management Decisions
Price-and Location-Sensitive Revenues
Integrating Supply Chain and Marketing Models for Consumer Products
Optimization Models for Competitive Analysis
Integrating Supply Chain and Demand Management Decisions with Corporate Financial Decisions
Optimization Models for Corporate Financial Planning
Financial Planning Issues Facing the Multinational Corporation
Financial Flows Model
Final Thoughts
Exercises
Notes
References
Organizational Adaptation to Modeling Systems
How Organizations Make Decisions
Contested Issues About Organizational Decision Making
Achieving Supply Chain Competitive Advantage Through Information Technology
Incentive Contracts
Outlook for the Future of Supply Chain Modeling Systems and Their Applications
Exercises
Notes
References
Index
Credits

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