PRODUCTION DATA BASED SIMILARITY COEFFICIENT FOR MACHINE-COMPONENT GROUPING DECISIONS IN THE DESIGN OF A CELLULAR MANUFACTURING SYSTEM

被引：152

作者：

GUPTA, T

SEIFODDINI, H

机构：

[1] Department of Industrial Engineering, Western Michigan University, Kalamazoo, MI

[2] Industrial and Systems Engineering Department, University of Wisconsin, Milwaukee, WI

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1990年 / 28卷 / 07期

关键词：

D O I：

10.1080/00207549008942791

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a similarity coefficient based approach to the problem of machine-component grouping. The proposed method incorporates relevant production data such as part type production volume, routing sequence and unit operation time in the early stages of grouping decisions for cellular manufacturing. The algorithm also suggests a methodology for evaluating alternative solutions from different algorithms on a quantitative basis using a modified version of an existing coefficient. The modified quantitative measure is a comprehensive indicator for the goodness of a grouping solution. The algorithm then identifies bottleneck machines and corresponding cell candidates for their duplication using percentage utilization in each cell as a criterion. Finally, additional constraints can be applied to determine the best grouping solution among alternative solutions generated by the algorithm. A software package has been developed to verify the implementation. © 1990 Taylor & Francis Group, LLC.

引用

页码：1247 / 1269

页数：23

共 26 条

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