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A mathematical approach for designing cell formation in cellular manufacturing systems

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A mathematical approach for designing cell formation in cellular manufacturing systems

Albadawi, Zahir (2003) A mathematical approach for designing cell formation in cellular manufacturing systems. Masters thesis, Concordia University.

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Abstract

One of the major steps in designing cellular manufacturing systems is to form cells. This involves identification of machine groups and part families. This thesis presents a new approach for optimally grouping the original set of machines into distinct uncorrelated cells. The approach involves two phases. In the first phase, machine cells are formed by applying factor analysis to the matrix of similarity coefficients. In the second phase, integer programming is used to assign parts to the cells. Because of its mathematical basis, the approach assures an optimal cell formation through the generation of uncorrelated cell clusters and the property of variance maximization. Using data set examples, the approach was found to perform very well in terms of a number of objective criteria. Moreover, the approach compares favorably to well-known existing methods. Other advantages such as efficient computational performance, and flexibility during cell formation make this approach very powerful.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Albadawi, Zahir
Pagination:x, 91 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Mechanical and Industrial Engineering
Date:2003
Thesis Supervisor(s):Chen, Ming Yuan
Identification Number:TS 191.8 A43 2003
ID Code:2166
Deposited By: Concordia University Library
Deposited On:27 Aug 2009 17:25
Last Modified:13 Jul 2020 19:51
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