采用混合遗传算法设计元胞制造系统时考虑单个机器单元

A. Tariq, I. Hussain, A. Ghafoor
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引用次数: 2

摘要

单元制造具有作业车间的灵活性和流水线的高生产率,被视为批量生产的一种有希望的替代方案。对于现实生活中的问题来说,细胞制造的设计是复杂的。设计元胞制造系统的重要步骤是形成零件族和相应的机床组,使具有相似加工要求的零件可以在同一单元内并行加工。本文提出了一种结合局部搜索启发式和遗传算法的元胞制造系统设计方法,同时允许单个机器元的形成。在对文献中的一些问题进行了测试后,该组合表明,单个机器细胞的存在减少了细胞间移动的次数和相应的成本,同时提高了分组效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consideration of Single Machine Cells in Designing Cellular Manufacturing System using a Hybrid Genetic Algorithm
Cellular manufacturing, that has the flexibility of job shops and the high production rate of flow lines, is seen as a promising alternative for batch type production. The design of cellular manufacturing is complex for real life problems. The important step in designing a cellular manufacturing system is the formation of part families and corresponding machine groups so that parts requiring similar processing requirements can be processed alongside in same cell. In this paper an approach for cellular manufacturing system design is developed that combines a local search heuristic with genetic algorithm while allowing the formation of single machine cells. The combination, after being tested on a number of problems from literature, has shown that the presence of single machine cells has reduced the number of intercellular moves and corresponding cost while increasing the grouping efficacy.
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