Simulation for Supply Chain Management

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Format: Hardcover
Pub. Date: 2008-09-22
Publisher(s): Iste/Hermes Science Pub
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Summary

This book provides a detailed insight into the simulation approaches employed in the study of supply chain management and control. It begins by examining the types of simulation models (continuous simulation, discrete-event systems and simulation games) before moving on to the distribution levels of systems and models. It concludes with a thorough discussion of simulation products. Simulation methodologies and techniques are also covered throughout the text and case studies are included to highlight the pivotal role played by simulation in the decision-making processes of those working in this field.

Author Biography

Caroline Thierry is an Associate Professor at the University of Toulouse. Her research in ONERA then in IRIT focuses on decision systems in supply chain management.

André Thomas is professor at ENSTIB - CRAN-CNRS – Nancy University , he works with companies producing manufactured goods for research projects on Supply Chain Control Methods.

Gérard Bel was professor and researcher at the French Aerospace Lab. He participated to more than 100 research projects in industry (systems design and management).

Table of Contents

Supply Chain Management Simulation: An Overview
Supply chain management
Supply chain management simulation
Supply chain management simulation types
Decision systems and simulation models (systems)
Simulation software
Simulation methodology
Conclusion
Bibliography
Continuous Simulation for SCM
System dynamics models for SCM
Application: recent research into the bullwhip effect
Conclusion
Bibliography
Appendix 1
Discrete-event Simulation for Supply Chain Management
Discrete-event simulation and supply chain
Discrete-event simulation for supply chain redesign
Discrete-event simulation for cooperation process risk analysis
Discrete-event simulation for business process reengineering
Conclusion
Bibliography
Simulation Games
Introduction
Literature review
Theories about the usage of games
Examples of implementation methodologies and obtained results
Conclusion
Bibliography
Centralized Approaches for Supply Chain Simulation: Issues and Applications
Introduction
Supply chain centralized simulation - a literature review
Supply chain simulation using centralized approaches
Some industrial and practical applications
Conclusions and perspectives
Bibliography
The Interest of Agents for Supply Chain Simulation
Decision problems in enterprise networks
State of the art: modeling and simulation of supply chains with agents
Conclusion and summary of the projects
Bibliography
Agent-based Simulation of Business Network Planning and Coordination Systems
Decision system in a supply chain
Decision-making tools to supply chain control
Simulation tools to design supply chain planning and coordination systems
Bibliography
Simulation for Product-driven Systems
Introduction
Control architectures of manufacturing systems
Validation with simulation in HMS or product-driven systems
Simulation: a computer-aided tool for product-driven systems
Industrial applications
Conclusion
Bibliography
HLA Distributed Simulation Approaches for Supply Chains Fouzia Ounnar
Introduction
Modeling and discrete-event simulation
Self-organized control of supply chain networks
Reactive control by evaluation of multi-site plans
Conclusion
Bibliography
Software Tools for Simulation
Short history of the tools for simulation in industrial engineering
Typology of the simulation tools for the supply chain
Key points of the co
Table of Contents provided by Publisher. All Rights Reserved.

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