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

页码：90 / 100

页数：11

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