Uniform workload assignments for assembly line by GA-based amelioration approach
Autor: | ReaKook Hwang, Hiroshi Katayama |
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Rok vydání: | 2009 |
Předmět: |
Production line
Mathematical optimization Engineering Workstation business.industry Strategy and Management Workload Variation (game tree) Management Science and Operations Research Industrial and Manufacturing Engineering law.invention law Genetic algorithm Line (geometry) Production (economics) business Simulation Coding (social sciences) |
Zdroj: | International Journal of Production Research. 48:1857-1871 |
ISSN: | 1366-588X 0020-7543 |
Popis: | This paper presents an amelioration structure with genetic algorithms to improve the variation of workload on assembly line production systems. As a consequence of introducing the just-in-time (JIT) production principle, it has been recognised 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 an amelioration structure produced optimal line efficiency of workstation integration and improved the variation of workload. |
Databáze: | OpenAIRE |
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