Coupling a genetic algorithm with the distributed arrival-time control for the JIT dynamic scheduling of flexible job-shops

In order to increase customer satisfaction and competitiveness, manufacturing systems need to combine flexibility with Just-in-Time (JIT) production. Until now, research on JIT scheduling problems has been mostly limited to high volume assembly lines rather than job-shop-like systems, due to their c...

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Bibliographic Details
Published in:	International journal of production research Vol. 52; no. 12; pp. 3688 - 3709
Main Authors:	Zambrano Rey, Gabriel, Bekrar, Abdelghani, Prabhu, Vittaldas, Trentesaux, Damien
Format:	Journal Article
Language:	English
Published:	London Taylor & Francis 18.06.2014 Taylor & Francis LLC
Subjects:	Algorithms arrival time control Automatic Combinatorial analysis dynamic scheduling Dynamical systems Dynamics Engineering Sciences flexible job-shop Gages Genetic algorithms Job shops Joining Just in time manufacturing control Mathematical problems Optimization algorithms Quadratic programming Scheduling Studies manufacturing control genetic algorithms dynamic scheduling arrival time control Just-in-Time flexible job-shop
ISSN:	0020-7543, 1366-588X
Online Access:	Get full text
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