Art

J-GLOBAL ID：201602215442964002   Reference number：16A0258780

Flexible job shop scheduling using genetic algorithm and heuristic rules

遺伝的アルゴリズムと発見的ルールを使用したフレキシブルなジョブショップスケジューリング

Author (2)： KAWEEGITBUNDIT Parinya (Graduate School of Engineering, Hiroshima Univ.) ,  EGUCHI Toru (Graduate School of Engineering, Hiroshima Univ.)
Material： Journal of Advanced Mechanical Design, Systems, and Manufacturing (Web)  (J Adv Mech Des Syst Manuf (Web))
Volume： 10  Issue： 1  Page： JAMDSM0010-JAMDSM0010 (J-STAGE)  Publication year： 2016 
JST Material Number： U0027A  ISSN： 1881-3054  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *genetic algorithm ,  *heuristics ,  *job shop scheduling ,  experiment ,  machinery ,  job shop ,  schedule ,  decision making ,  NP hard
Semi thesaurus term： numerical experiment

JST classification (2)： Production engineering in general  (KB01000U) ,  Process control  (KB03030P)

Reference (23)：

• Anderson, E. J. and Nyirenda, J. C., Two new rules to minimize tardiness in a job shop, International Journal of Production Research, Vol.28, No.12 (1990), pp.2277-2292.
• Baker, K.R., Sequencing rules and due-date assignments in a job shop, Management Science, Vol.30, No.9 (1984), pp.1093-1104.
• Bean, J. C., Genetic algorithms and random keys for sequencing and optimization, ORSA Journal on Computing, Vol.6, No.2 (1994), pp.154-160.
• Brucker, P., Jurisch, B. and Krämer, A., Complexity of scheduling problems with multi-purpose machines, Annals of Operations Research, Vol.70 (1997), pp.57-73.
• Candido, M. A. B., Khator, S. K. and Bracia, R. M., A genetic algorithm based procedure for more realistic job shop scheduling problems, International Journal of Production Research, Vol.36, No.12 (1998), pp.3437-3457.

Terms in the title (4)： 遺伝的アルゴリズム ,  発見 ,  ルール ,  ジョブショップスケジューリング