COMPUTER PROGRAMMING - Algorithms - DECISION THEORY AND ANALYSIS - SYSTEMS SCIENCE AND CYBERNETICS - Hierarchical Systems;
D O I:
10.1080/00207548608919798
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
This paper is an extension of the well known rank order clustering (ROC) algorithm for group technology problems. The ROC method is analysed and its main drawbacks are identified. The present method uses the ROC algorithm in conjunction with a block and slice method for obtaining a set of interesting machine cells and non-intersecting part families. Then a heirarchical clustering method is applied based on a measure of association among pairs of machine cells. Clustering is terminated when all the surviving cells are non-intersecting or when a single group is formed. In the latter case, the number of cells is determined on the basis of a suitable decision criterion and the bottleneck machines are identified at the appropriate hierarchical level in the clustering process.