A Method for Optimising the Evolution of Cellular Manufacturing Systems

被引：0
作者：
Padayachee, Jared [1 ]
Bright, Glen [1 ]
机构：
[1] Univ KwaZulu Natal, Discipline Mech Engn, Durban, South Africa
来源：
2017 24TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP) | 2017年
基金：
新加坡国家研究基金会;
关键词：
Cellular Manufacturing Systems; Reconfigurable Manufacturing; Group Technology; MATHEMATICAL-MODEL; WORKER ASSIGNMENT; DESIGN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Cellular Manufacturing Systems (CMS) are a central concept in just-in-time and lean manufacturing. Although CMS are able to provide a strategic operating advantage, machine cell clusters do not remain optimal over an extended period of time. This paper presents a method for planning the evolution of the CMS over a multi-period horizon, such that the machine cell clusters are periodically reconfigured to provide good performance. The method uses the concept of fuzzy-clustering for part family generation and a mixed integer linear program for the assignment of machine resources to cells. The results show that the evolving cells are significantly more competitive than fixed configurations.
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页码：378 / 383
页数：6
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