IMPROVED CELLULAR MANUFACTURING SYSTEM USING PARTICLE SWARM OPTIMIZATION

D. A. Kadhim
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引用次数: 0

Abstract

Cellular manufacturing system is the nerve of industry in our days and many studiesand researches discussed in this field . In this research row materials need to cross longdistance about thousand meters during the manufacturing process to be final product inALWAZIRIA ELECRICAL MOTOR FACTORY the problem was needed to reduce therouting of row material flow and increase flexibility with saving same operation sequence .First segmented the facility into subsystems called cells and figured the system output .theresearch goes in two ways first assign the problem and parameter affected on productionprocess secondly apply the particle swarm to the problem after writing the algorithms. Theparticle swarm technique shows great flexibility in scheduling purposes problem. Also theproduct will cross about 400 m instead of 1000 m before using PSO after extracted theresult which it discussed and recommended to the future researcher .
基于粒子群优化的改进元胞制造系统
细胞制造系统是当今工业的神经,在这一领域进行了许多研究。在这项研究中,ALWAZIRIA ELECTRICAL MOTOR FACTORY的排料在制造过程中需要跨越约千米的长距离才能成为最终产品。该问题需要减少排料流的计算,并在节省相同操作顺序的情况下增加灵活性。首先将设备划分为称为单元的子系统,并计算出系统输出首先分配问题和影响生产过程的参数,然后在编写算法后将粒子群应用于问题。粒子群技术在调度目的问题上表现出极大的灵活性。此外,在提取结果后,该产品将在使用PSO之前穿过约400米,而不是1000米,并对结果进行了讨论,并向未来的研究人员推荐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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