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Original Articles

APPLICATION OF CONCEPTUAL LEARNING TECHNIQUES TO GENERALIZED GROUP TECHNOLOGY

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Pages 443-458 | Published online: 27 Apr 2007
 

Abstract

In this article, we first point out the advantages and limitations of the keywords filtering techniques and the standard automatic clustering techniques for group technology applications. We consider, then, a product, or more generally an item, as a conjunction of symbolic attributes. We present a new method to recognize homogeneous families of products and to interpret the families by extraction of their concepts. Finally, the method is applied to analyze a population of 1010 mechanical parts.

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