Quantitative Models for Supply Chain Management
Sridhar Tayur, Ram Ganeshan, Michael Magazine
Springer Science & Business Media, Dec 31, 1998 - Business & Economics - 885 pages
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.
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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Optimal Policies and Simulation Based Optimization for Capacitated Production Inventory Systems
Service Levels and Tail Probabilities in Multistage Capacitated ProductionInventory Systems
On RNQ Policies Serial Inventory Systems
Competitive Supply Chain Inventory Management
Vehicle Routing and the Supply Chain
Supply Contracts with Quantity Commitments and Stochastic Demand
Supply Chain Contracting and Coordination with Stochastic Demand
Managing Product Variety An Operations Perspective
Retail Inventories and Consumer Choice
The Benefits of Design for Postponement
Stochastic Programming Models for Managing Product Variety
Global Sourcing Strategies Under Exchange Rate Uncertainty
Global Supply Chain Management A Survey of Research and Applications
Managing Supply Chains in Emerging Markets
BottomUp vs TopDown Approaches to Supply Chain Modeling
Designing Supply Contracts Contract Type and Information Asymmetry
Modeling Supply Chain Contracts A Review
Modeling the Impact of Information on Inventories
Modeling Impacts of Electronic Data Interchange Technology
Business Cycles and Productivity in Capital Equipment Supply Chains
The Bullwhip Effect Managerial Insights in the Impact of Forecasting and Information on Variability in a Supply Chain
Value of Information Sharing and Comparison with Delayed Differentiation
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algorithm analysis Anupindi assembly sequence assume assumption average backorder base-stock level benefits bullwhip effect buyer capacity choice commitment components computational consider constraints convex coordination customer demand decision decreases defined delayed differentiation delivery demand distribution denote discounted dynamic echelon estimate example exchange rate expected Federgruen Figure firm forecast global heuristic holding cost horizon impact increase integrated inventory level inventory models inventory position lead leadtime Lemma linear logistics lower bound machine tool Management Science manufacturer marginal Markov chain minimize minimum Multi-Echelon Nash equilibrium newsvendor normally distributed Operations Research optimal policy options order quantity order-up-to paper parameters partition period postponement problem product differentiation profits purchase random variable remanufacturing retailer retailer's sourcing stage stochastic strategy structure supplier supply chain management supply chain network supply contracts Tayur Theorem uncertainty unit vanilla boxes variant wholesale price Zipkin