Flexibility and Robustness in Scheduling

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  • Edition: 1st
  • Format: eBook
  • Copyright: 2010-01-27
  • Publisher: Wiley-ISTE

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Scheduling is a broad research area and scheduling problems arise from several application domains (production systems, logistic, computer science, etc.). Solving scheduling problems requires tools of combinatorial optimization, exact or approximated algorithms. Flexibility is at the frontier between predictive deterministic approaches and reactive or ?on-line? approaches. The purpose of flexibility is to provide one or more solutions adapted to the context of the application in order to provide the ideal solution. This book focuses on the integration of flexibility and robustness considerations in the study of scheduling problems. After considering both flexibility and robustness, it then covers various scheduling problems, treated with an emphasis on flexibility or robustness, or both.

Author Biography

Jean-Charles Billaut is Professor in Computer Science in the Polytechnic School of the University of Tours, France. he teaches assembly language and operations research (graph theory and dynamic programming). He is also member of the board of the French OR Society (President in 2006 and 2007).

Aziz Moukrim is Professor in Computer Science at the the University of Technology of Compiegne, France, and is a member of the UTC-CNFRS research laboratory (Heudiasyc). He teaches algorithmic and operations research (Scheduling, logistics and transportation systems). He is also co-leader of the CNRS Group (Scheduling and Transportation Networks).

Eric Sanlaville is Associate Professor In Computer Science at the University of Clermont-Ferrand, France. He teaches algorithmics and operations research (both in deterministic and stochastic settings). He has been a member of het board of the French OR Society since 004.

Table of Contents


Chapter 1. Introduction to Flexibility and Robustness in Scheduling (Jean-Charles Billaut, Aziz Moukrim an Eric Sanlaville).

Chapter 2. Robustness in Operations Research and Decision Aiding (Bernard Roy).

Chapter 3. The Robustness of Multi-Purpose Machines Workshop Configuration (Marie-Laure Espinouse, Mireille Jacomino and Andre Rossi).

Chapter 4. Sensitivity Analysis for One and m Machines (Amine Mahjoub, Aziz Moukrim, Christophe Rapine and Eric Sanlaville).

Chapter 5. Service Level in Scheduling (Stephane Dauzere-Peres, Philippe Castagliola and Chams Lahlou).

Chapter 6. Metaheuristics for Robust Planning and Scheduling (Marc Sevaux, Kenneth Sorensen and Yann Le Quere).

Chapter 7. Metaheuristics and Performance Evaluation Models for the Stochastic Permutation Flow-Shop Scheduling Problem (Michel Gourgand, Nathalie Grangeon and Sylvie Norre).

Chapter 8. Resource Allocation for the Construction of Robust Project Schedules (Christian Artigues, Roel Leus and Willy Herroelen).

Chapter 9. Constraint-based Approaches for Robust Scheduling (Cyril Briand, Marie-Jose Huguet, Hoang Trung La and Pierre Lopez).

Chapter 10. Scheduling Operation Groups: A Multicriteria Approach to Provide Sequential Flexibility (Carl Esswein, Jean-Charles Billaut and Christian Artigues).

Chapter 11. A Flexible Proactive-Reactive Approach: The Case of an Assembly Workshop (Mohamed Ali Aloulou and Marie-Claude Portmann).

Chapter 12. Stabilization for Parallel Applications (Amine Mahjoub, Jonathan E. Pecero Sanchez and Denis Trystram).

Chapter 13. Contribution to a Proactive/Reactive Control of Time Critical Systems (Pascal Aygalinc, Soizick Calvez and Patrice Bonhomme).

Chapter 14. Small Perturbations on Some NP-Complete Scheduling Problems (Christophe Picouleau).

List of Authors.


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