Integrating genetic algorithm with time control for just-in-time scheduling problems

Junru Chen; Wei Weng; Gang Rong; Shigeru Fujimura

doi:10.1016/j.ifacol.2015.06.196

Integrating genetic algorithm with time control for just-in-time scheduling problems

Junru Chen, Wei Weng, Gang Rong, Shigeru Fujimura

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

To reduce inventory costs and increase customer satisfaction in a real production environment, Just-in-Time (JIT) manufacturing should be combined with more flexibility. Flexibility in manufacturing system ensures improved product quality and mass customization. In this paper, we consider flexible job-shop problem (FJSP) to include several types of flexibility. Prior research on JIT scheduling problems paid little attention to flexible job shop systems. In this paper, an optimization method for FJSP for JIT manufacturing was proposed, genetic algorithm and time control are integrated to improve the JIT performance. Computational simulations and comparisons demonstrate that the proposed method shows more competitive performance than other evolutionary algorithms.

Original language	English
Title of host publication	IFAC Proceedings Volumes (IFAC-PapersOnline)
Publisher	IFAC Secretariat
Pages	893-897
Number of pages	5
Volume	48
Edition	3
DOIs	https://doi.org/10.1016/j.ifacol.2015.06.196
Publication status	Published - 2015 May 1
Event	15th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2015 - Ottawa, Canada Duration: 2015 May 11 → 2015 May 13

Other

Other	15th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2015
Country	Canada
City	Ottawa
Period	15/5/11 → 15/5/13

Keywords

Arrival time control
Flexible job-shop
Genetic algorithm
Just-in-time
Production planning and scheduling

ASJC Scopus subject areas

Control and Systems Engineering

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Chen, J, Weng, W, Rong, G & Fujimura, S 2015, Integrating genetic algorithm with time control for just-in-time scheduling problems. in IFAC Proceedings Volumes (IFAC-PapersOnline). 3 edn, vol. 48, IFAC Secretariat, pp. 893-897, 15th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2015, Ottawa, Canada, 15/5/11. https://doi.org/10.1016/j.ifacol.2015.06.196

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