King Saud University Repository >
King Saud University >
Science Colleges >
College of Engineering >
College of Engineering >

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/13073

Title: A fuzzy analysis approach for part-machine grouping in cellular manufacturing systems
Authors: Al-Ahmari, A.M.A.
Keywords: Cellular manufacturing; Cluster analysis; Design; Fuzzy logics
Issue Date: 2002
Publisher: Emerald Group Publishing Ltd.
Citation: Integrated Manufacturing Systems Volume 13, Issue 7, 2002, Pages 489-497
Abstract: Among the many accepted clustering techniques, the fuzzy clustering approaches have been developed over the last decades. These approaches have been applied to many areas in manufacturing systems. In this paper, a fuzzy clustering approach is proposed for selecting machine cells and part families in cellular manufacturing systems. This fuzzy approach offers a special advantage over existing clustering approaches as it presents the degree of membership of the machine or part associated with each machine cell or part family allowing users flexibility in formulating machine cells and part families. The proposed algorithm is extended and validated using numerical examples to demonstrate its application in cellular manufacturing.
URI: http://hdl.handle.net/123456789/13073
ISSN: 09576061
Appears in Collections:College of Engineering

Files in This Item:

File Description SizeFormat
13.doc40 kBMicrosoft WordView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


DSpace Software Copyright © 2002-2009 MIT and Hewlett-Packard - Feedback