TY - GEN
T1 - Cellular manufacturing system scheduling under fuzzy constraints
T2 - 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010
AU - Xing, Bo
AU - Gao, Wen Jing
AU - Nelwamondo, Fulufhelo V.
AU - Battle, Kimberly
AU - Marwala, Tshilidzi
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78549270767&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2010.5584234
DO - 10.1109/FUZZY.2010.5584234
M3 - Conference contribution
AN - SCOPUS:78549270767
SN - 9781424469208
T3 - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010
BT - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010
Y2 - 18 July 2010 through 23 July 2010
ER -