The performance of an company depends both on its technological
expertise and its managerial and organizational effectiveness.
Production management is an important part of the process for
manufacturing firms. The organization of production relies in
general on the implementation of a certain number of basic
functions, among which the scheduling function plays an essential
role.
This title presents recently developed methods for resolving
scheduling issues. The basic concepts and the methods of production
scheduling are introduced and advanced techniques are discussed,
providing readers with a comprehensive and accessible guide to
employing this process.
Mục lục
Chapter 1. Statement of production scheduling (François Roubellat and Pierre Lopez).
Chapter 2. Basic concepts and methods in production scheduling (Patrick Esquirol and Pierre Lopez).
Chapter 3. Metaheuristics (Marino Widmer, Alain Hertz and Daniel Costa).
Chapter 4. Genetic algorithms and scheduling (Marie-Claude Portmann and Antony Vignier).
Chapter 5. Constraint propagation and scheduling (Patrick Esquirol, Pierre Lopez and Marie-José Huguet).
Chapter 6. Simulation approach (Gérard Bel and Jean-Bernard Cavaillé).
Chapter 7. Cyclic production scheduling (Jean-Claude Gentina, Ouajdi Korbaa and Hervé Camus).
Chapter 8. Mixed-model assembly lines sequencing (Yannick Frein and Emmanuel Castelain).
Chapter 9. Hoist scheduling (Pierre Baptiste, Christelle Bloch and Christophe Varnier).
Chapter 10. Multi-resource shop scheduling (Jean-Charles Billaut, Jacques Carlier, Emmanuel Néron and Antoine Oliver).
Chapter 11. Open shop scheduling (Christian Prins).
Chapter 12. Scheduling under flexible constraints and uncertain data: a fuzzy approach (Didier Dubois, Hélène Fargier and Philippe Fortemps).
Chapter 13. Real-time workshop scheduling (Christian Artigues and François Roubellat).
Giới thiệu về tác giả
Pierre Lopez is a researcher within the Laboratory for
Analysis and Architecture of Systems at the French National Center
for Scientific Research (LAAS-CNRS). He is also head of the MOGISA
group (Modeling, Optimization and Integrated Management of Systems
of Activities).
François Roubellat is also a researcher within
LAAS-CNRS. His research is focused on Decision Support Systems for
activity scheduling with resource constraints.
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