A MULTI-PERIOD GROUP TECHNOLOGY METHOD FOR DYNAMIC CELLULAR MANUFACTURING SYSTEMS

被引：5
|
作者：
Padayachee, J. [1 ]
Bright, G. [1 ]
机构：
[1] Univ KwaZulu Natal, Discipline Mech Engn, Durban, South Africa
来源：
SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING | 2016年 / 27卷 / 04期
关键词：
MATHEMATICAL-MODEL; ALGORITHM;
D O I：
10.7166/27-4-1524
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A dynamic cellular manufacturing system is a system where cell configurations change in order to respond to changing production requirements. This paper proposes methods for multi-period cell and part family formation. The method of fuzzy C-means clustering is used for part family formation while balancing the part load between cells in each period; a genetic algorithm is presented to solve the model. An integer programming model is presented for multi-period cell formation with the objective of determining an optimal trade-off between reconfiguration cost and the cost of deficit capacity.
引用
收藏
页码：90 / 100
页数：11
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