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.
|出版ステータス||Published - 2015 5 1|
|イベント||15th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2015 - Ottawa, Canada|
継続期間: 2015 5 11 → 2015 5 13
ASJC Scopus subject areas
- Control and Systems Engineering