دورية أكاديمية

U-shaped assembly line balancing problem with genetic algorithm.

التفاصيل البيبلوغرافية
العنوان: U-shaped assembly line balancing problem with genetic algorithm.
المؤلفون: Hwang, Rea Kook1 (AUTHOR) rkhwang@kata.mgmt.waseda.ac.jp, Katayama, Hiroshi1 (AUTHOR), Gen, Mitsuo2 (AUTHOR)
المصدر: International Journal of Production Research. Aug2008, Vol. 46 Issue 16, p4637-4649. 13p. 8 Diagrams, 2 Charts, 2 Graphs.
مصطلحات موضوعية: *ASSEMBLY line methods, *ASSEMBLY line balancing, *INDUSTRIAL management, *INDUSTRIAL efficiency, *PRODUCTION control, GENETIC algorithms
مستخلص: This paper presents a multi-objective genetic algorithm (moGA) to solve the U-shaped assembly line balancing problem (UALBP). As a consequence of introducing the just-in-time (JIT) production principle, it has been recognized that U-shaped assembly line systems offer several benefits over the traditional straight line systems. We consider both the traditional straight line system and the U-shaped assembly line system, thus as an unbiased examination of line efficiency. The performance criteria considered are the number of workstations (the line efficiency) and the variation of workload. The results of experiments show that the proposed model produced as good or even better line efficiency of workstation integration and improved the variation of workload. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Business Source Index
الوصف
تدمد:00207543
DOI:10.1080/00207540701247906