Quantitative Models for Supply Chain Management

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Sridhar Tayur, Ram Ganeshan, Michael Magazine
Springer Science & Business Media, Dec 31, 1998 - Business & Economics - 885 pages
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Quantitative models and computer-based tools are essential for making decisions in today's business environment. These tools are of particular importance in the rapidly growing area of supply chain management. This volume is a unified effort to provide a systematic summary of the large variety of new issues being considered, the new set of models being developed, the new techniques for analysis, and the computational methods that have become available recently. The volume's objective is to provide a self-contained, sophisticated research summary - a snapshot at this point of time - in the area of Quantitative Models for Supply Chain Management. While there are some multi-disciplinary aspects of supply chain management not covered here, the Editors and their contributors have captured many important developments in this rapidly expanding field.
The 26 chapters can be divided into six categories.
  • Basic Concepts and Technical Material (Chapters 1-6). The chapters in this category focus on introducing basic concepts, providing mathematical background and validating algorithmic tools to solve operational problems in supply chains.
  • Supply Contracts (Chapters 7-10). In this category, the primary focus is on design and evaluation of supply contracts between independent agents in the supply chain.
  • Value of Information (Chapters 11-13). The chapters in this category explicitly model the effect of information on decision-making and on supply chain performance.
  • Managing Product Variety (Chapters 16-19). The chapters in this category analyze the effects of product variety and the different strategies to manage it.
  • International Operations (Chapters 20-22). The three chapters in this category provide an overview of research in the emerging area of International Operations.
  • Conceptual Issues and New Challenges (Chapters 23-27). These chapters outline a variety of frameworks that can be explored and used in future research efforts.

This volume can serve as a graduate text, as a reference for researchers and as a guide for further development of this field.
 

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Contents

Introduction
1
Optimal Policies and Simulation Based Optimization for Capacitated Production Inventory Systems
7
Service Levels and Tail Probabilities in Multistage Capacitated ProductionInventory Systems
41
On RNQ Policies Serial Inventory Systems
71
Competitive Supply Chain Inventory Management
111
Vehicle Routing and the Supply Chain
147
Supply Contracts with Quantity Commitments and Stochastic Demand
197
Supply Chain Contracting and Coordination with Stochastic Demand
233
Managing Product Variety An Operations Perspective
467
Retail Inventories and Consumer Choice
491
The Benefits of Design for Postponement
553
Stochastic Programming Models for Managing Product Variety
585
Global Sourcing Strategies Under Exchange Rate Uncertainty
625
Global Supply Chain Management A Survey of Research and Applications
669
Managing Supply Chains in Emerging Markets
703
BottomUp vs TopDown Approaches to Supply Chain Modeling
737

Designing Supply Contracts Contract Type and Information Asymmetry
269
Modeling Supply Chain Contracts A Review
299
Modeling the Impact of Information on Inventories
337
Modeling Impacts of Electronic Data Interchange Technology
359
Business Cycles and Productivity in Capital Equipment Supply Chains
381
The Bullwhip Effect Managerial Insights in the Impact of Forecasting and Information on Variability in a Supply Chain
417
Value of Information Sharing and Comparison with Delayed Differentiation
441
Inventory Planning in Large Assembly Supply Chains
761
Managing Inventory for Fashion Products
789
Inventory Control for Joint Manufacturing and Remanufacturing
807
A Taxonomic Review of Supply Chain Management Research
839
Index
881
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