Machine-part Cell formation by Clustering Multiple CriteriaApproach

摘要

In many real world problems the range of consequences of different alternatives are considerably different.Also, sometimes, selection of a group of alternatives (instead of only one best alternative) is necessary. Thetraditional decision making approaches treat the set of alternatives with the same method of analysis and selection.In this paper, we propose clustering alternatives into different sets so that different methods of analysis, selection,and implementation for each group can be applied. As an example, consider the selection of a group of productsfor development by a corporation where there are many possible products to be developed. The group of productsto be selected for development may vary in terms of their consequences and functions.