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Authors: Ameni Azzouz ; Meriem Ennigrou and Lamjed Ben Said

Affiliation: Institut Supérieur de Gestion, Tunisia

Keyword(s): Job-shop Scheduling Problem, Flexible Manufacturing Systems, Sequence-dependent Setup Times, Genetic Algorithms.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Problem Solving ; Scheduling and Planning

Abstract: Job shop scheduling problems (JSSP) are among the most intensive combinatorial problems studied in literature. The flexible job shop problem (FJSP) is a generalization of the classical JSSP where each operation can be processed by more than one resource. The FJSP problems cover two difficulties, namely, machine assignment problem and operation sequencing problem. This paper investigates the flexible job-shop scheduling problem with sequence-dependent setup times to minimize two kinds of objectives function: makespan and bi-criteria objective function. For that, we propose a genetic algorithm (GA) to solve this problem. To evaluate the performance of our algorithm, we compare our results with other methods existing in literature. All the results show the superiority of our GA against the available ones in terms of solution quality.

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Paper citation in several formats:
Azzouz, A.; Ennigrou, M. and Said, L. (2016). Flexible Job-shop Scheduling Problem with Sequence-dependent Setup Times using Genetic Algorithm. In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-187-8; ISSN 2184-4992, SciTePress, pages 47-53. DOI: 10.5220/0005821900470053

@conference{iceis16,
author={Ameni Azzouz. and Meriem Ennigrou. and Lamjed Ben Said.},
title={Flexible Job-shop Scheduling Problem with Sequence-dependent Setup Times using Genetic Algorithm},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2016},
pages={47-53},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005821900470053},
isbn={978-989-758-187-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Flexible Job-shop Scheduling Problem with Sequence-dependent Setup Times using Genetic Algorithm
SN - 978-989-758-187-8
IS - 2184-4992
AU - Azzouz, A.
AU - Ennigrou, M.
AU - Said, L.
PY - 2016
SP - 47
EP - 53
DO - 10.5220/0005821900470053
PB - SciTePress

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