DocumentCode
315336
Title
Fuzzy number ordering methods applied to workpiece scheduling problem with imprecise parameters
Author
Romero, Pedro Reumay ; Yamakami, Akebo
Author_Institution
Fac. de Ciencias, Austral Univ. of Chile, Valdivia, Chile
Volume
1
fYear
1997
fDate
1-5 Jul 1997
Firstpage
421
Abstract
A workpiece scheduling problem considering imprecisions over processing and transporting times is studied in this work. These considerations result in a fuzzy linear programming problem. We present methodologies to solve them, based on the fuzzy number ordering techniques. These methodologies give good information to decision makers about the domain containing the optimal solution. The proposed algorithm is applied in an example and the results are analysed
Keywords
decision theory; fuzzy logic; fuzzy set theory; linear programming; minimisation; production control; decision makers; fuzzy linear programming problem; fuzzy number ordering methods; imprecise parameters; processing times; transporting times; workpiece scheduling; Fuzzy logic; Job shop scheduling; Linear programming; Manufacturing processes; Mixed integer linear programming; Robot motion; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location
Barcelona
Print_ISBN
0-7803-3796-4
Type
conf
DOI
10.1109/FUZZY.1997.616405
Filename
616405
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