A WORKLOAD BASED MODEL FOR MINIMIZING TOTAL INTERCELL AND INTRACELL MOVES IN CELLULAR MANUFACTURING

被引:52
作者
LOGENDRAN, R
机构
[1] Department of Industrial and Manufacturing Engineering, Oregon State University, Corvallis, OR
关键词
D O I
10.1080/00207549008942763
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The aim of cellular manufacturing systems is to group parts that have similar processing needs into part families, and machines that meet these needs into machine cells. In this paper, intracell moves are recognized as being as important and unproductive an element as intercell moves are in cellular manufacturing. An efficient solution algorithm based on a model describing the total moves contributed by both intercell and intracell moves has been developed. Appropriate weights have been chosen to represent the total moves in equation form as a weighted sum of both intercell and intracell moves. In addition to the total moves, utilization of a workstation in a cell has been evaluated and used in the determination of the best workstation and part assignments to the respective cells from among a choice of solutions. This choice is made possible by varying the number of cells between a priori determined minimum and maximum values. The algorithm has been tested on problems selected from published literature, and the results presented show that this algorithm determines at least as good a solution or a superior and more realistic solution when compared to those reported in the past. © 1990 Taylor & Francis Group, LLC.
引用
收藏
页码:913 / 925
页数:13
相关论文
共 12 条
[1]  
Burbidge J.L., Production flow analysis, The Production Engineer, 42, (1963)
[2]  
Burbidge J.L., Production flow analysis, The Production Engineer, 50, (1971)
[3]  
Burbidge J.L., The Introduction to Group Technology, (1975)
[4]  
Balakur A., Steudel H.J., A within-cell utilization based heuristic for designing cellular manufacturing systems, International Journal of Production Research, 25, 5, (1987)
[5]  
Chan H.M., Milner D.A., Direct clustering algorithm for group formation in cellular manufacture, Journal of Manufacturing Systems, 1, 1, (1982)
[6]  
Francis R.L., Whire J.A., Facility Layout and Location-An Analytical Approach, (1974)
[7]  
King J.R., Machine-component grouping in production flow analysis: An approach using a rank order clustering algorithm, International Journal of Production Research, 18, (1980)
[8]  
King J.R., Nakornchai V., Machine-component group formation in group technology: Review and extension, International Journal of Production Research, 20, (1982)
[9]  
Kusiak A., Heragu S.S., Group technology, Computers in Industry, 9, (1987)
[10]  
Stanfel L.E., Machine clustering for economic production, Engineering Costs and Production Economics, 9, (1985)