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Specifying Optimal Number of Cells Using a Modified Dissimilarity Measure Based on AVV Approach

Rami H. Fouad, Adnan M. Mukattash

Abstract


The first step in Cellular Manufacturing (CM) is manufacturing cell formation (CF), i.e., grouping parts with similar design features or processing requirements into families and allocating associated machines. Many similarity and dissimilarity measures have been published in the literature to solve CF problem. The main step of theses measures is to find the similarity and/or dissimilarity between the machines and/or the parts. Some of theses measures have poor performance. In this paper one of the well-known dissimilarity measures is analyzed and tested against a case study taken from the literature and the test results show that this measures has some deficiencies in finding the optimal number of cells( the cell which has minimum sum of voids and/or exceptions). To avoid these deficiencies a modified dissimilarity measure has been developed in this paper for solving cell formation problem in cellular manufacturing systems. The modified measure is based on AVV approach. The same case study has been tested using our modified measure, and the result showed that our modified measure is superior in finding the optimal number of cells.

Keywords


Cellular Manufacturing Systems, Cell Formation, Dissimilarity coefficients, Optimal Solution, Optimal number of Cells, Average Voids Value (AVV).

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