A New Grouping Measure for Evaluation of Machine-Component Matrices

Hamid Seifoddini, University of Wisconsin - Milwaukee
Manocher Djassemi, University of Wisconsin - Platteville

Article comments

Copyright © 1996 Taylor & Francis. The definitive version is available at http://dx.doi.org/10.1080/00207549608904960.

NOTE: At the time of publication, the author Manocher Djassemi was not yet affiliated with Cal Poly.

Abstract

The machine-component matrix is the main input to most machine-component grouping models used in cellular manufacturing. A number of measures have been developed for performance evaluation of machine-component grouping algorithms. In this paper, the relationship between these measures and the performance of the corresponding cellular manufacturing system is evaluated and a new grouping measure is developed which is more consistent in predicting the suitability of a manufacturing system for cellular manufacturing.