• Solving multi-objective produc...

Result: Solving multi-objective production scheduling problems using metaheuristics : IEPM: Focus on scheduling

Title:
Solving multi-objective production scheduling problems using metaheuristics : IEPM: Focus on scheduling
Authors:
LOUKIL, T, TEGHEM, J, TUYTTENS, D
Source:
European journal of operational research. 161(1):42-61
Publisher Information:
Amsterdam: Elsevier, 2005.
Publication Year:
2005
Physical Description:
print, 23 ref
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Flots dans les réseaux. Problèmes combinatoires, Flows in networks. Combinatorial problems, Ordonnancement, Scheduling, sequencing, Atelier monogamme, Flow shop, Machine parallèle, Parallel machines, Méthode heuristique, Heuristic method, Método heurístico, Optimisation, Optimization, Optimización, Ordonnancement, Scheduling, Reglamento, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Recherche tabou, Tabu search, Búsqueda tabú, Métaheuristique, Metaheuristics, Multi-objective optimization, Production scheduling
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Université de Sfax, F.S.G.E., Route l'aérodrome km 4, BP 1088, 30185 Sfax, Tunisia
Faculté Polytechnique de Mons, 9 Rue de Houdain, Mons 7000, Belgium
ISSN:
0377-2217
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16436348
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Operational research. Management
Accession Number:
edscal.16436348
Database:
PASCAL Archive

Further Information

Most of research in production scheduling is concerned with the optimization of a single criterion. However the analysis of the performance of a schedule often involves more than one aspect and therefore requires a multi-objective treatment. In this paper we first present (Section 1) the general context of multi-objective production scheduling, analyze briefly the different possible approaches and define the aim of this study i.e. to design a general method able to approximate the set of all the efficient schedules for a large set of scheduling models. Then we introduce (Section 2) the models we want to treatone machine, parallel machines and permutation flow shops-and the corresponding notations. The method usedcalled multi-objective simulated annealing-is described in Section 3. Section 4 is devoted to extensive numerical experiments and their analysis. Conclusions and further directions of research are discussed in the last section.