DocumentCode :
2305848
Title :
Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective
Author :
Xing, Bo ; Gao, Wen-Jing ; Nelwamondo, Fulufhelo V. ; Battle, Kimberly ; Marwala, Tshilidzi
Author_Institution :
Fac. of Eng. & the Built Environ., Univ. of Johannesburg, Johannesburg, South Africa
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
In this article, we attempt to solve cellular manufacturing system (CMS) scheduling problem from group technology point of view. Since the operations of a job in a CMS can be performed on more than one machine within a cell, the scheduling problem of the CMS is always considered as a computationally hard problem. Two approaches called fuzzy logic and fuzzy MAX-MIN ant system are employed respectively. Under the consideration of multiple criteria, the performance of different manufacturing cells in a CMS is improved by means of proposed methodologies.
Keywords :
cellular manufacturing; fuzzy logic; job shop scheduling; CMS scheduling; cellular manufacturing system scheduling; computationally hard problem; fuzzy MAX-MIN ant system; fuzzy constraints; fuzzy logic; group technology perspective; Drilling; Fuzzy logic; Fuzzy sets; Indexes; Job shop scheduling; Manufacturing; Milling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1098-7584
Print_ISBN :
978-1-4244-6919-2
Type :
conf
DOI :
10.1109/FUZZY.2010.5584234
Filename :
5584234
Link To Document :
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