標題: Multi-objective machine-component grouping in cellular manufacturing: a genetic algorithm
作者: Hsu, CM
Su, CT
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: group technology;cellular manufacturing system;machine-cell formation;machine-component grouping;genetic algorithm
公開日期: 1-Mar-1998
摘要: The cellular manufacturing system (CMS) is an important group technology (GT) application. The first step of CMS design is cell formation, generally known as machine-cell formation (MCF) or machine-component grouping (MCG). A genetic algorithm (CA) is a robust adaptive optimization method based on principles of natural evolution and is appropriate for the MCG problem, which is an NP complete complex problem. In this study, we propose a GA-based procedure to solve the MCG problem. More specifically, this study aims to minimize (1) total cost, which includes intercell and intracell part transportation costs and machines investment cots; (2) intracell machine loading imbalance; and (3) intercell machine loading imbalance under many realistic considerations. An illustrative example and comparisons demonstrate the effectiveness of this procedure. The proposed procedure is extremely adaptive, flexible, efficient and can be used to solve real MCG problems in factories by providing robust manufacturing cell formation in a short execution time.
URI: http://hdl.handle.net/11536/32737
ISSN: 0953-7287
期刊: PRODUCTION PLANNING & CONTROL
Volume: 9
Issue: 2
起始頁: 155
結束頁: 166
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