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

Junru Chen, Wei Weng, Gang Rong, Shigeru Fujimura

Research output: Contribution to journalConference articlepeer-review

4 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 languageEnglish
Pages (from-to)893-897
Number of pages5
JournalIFAC-PapersOnLine
Volume28
Issue number3
DOIs
Publication statusPublished - 2015 May 1
Event15th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2015 - Ottawa, Canada
Duration: 2015 May 112015 May 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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