DocumentCode :
251578
Title :
Manufacturing scheduling problem based on fuzzy genetic algorithm
Author :
Gladkov, Leonid ; Gladkova, Nadezhda ; Leiba, Sergey
Author_Institution :
Dept. of Comput.-Aided Design, Southern Fed. Univ., Taganrog, Russia
fYear :
2014
fDate :
26-29 Sept. 2014
Firstpage :
1
Lastpage :
4
Abstract :
An important problem of manufacturing scheduling and planning is reviewed. Basic criteria and heuristic rules used in scheduling are considered. The method of manufacturing scheduling based on combining genetic algorithms and fuzzy controller are suggested. Some logical rules for fuzzy controller are specified, and the structure of proposed algorithm is explained. In order to show the effectiveness of suggested techniques computing experiments are performed.
Keywords :
fuzzy set theory; genetic algorithms; production planning; scheduling; fuzzy controller; fuzzy genetic algorithms; heuristic rules; manufacturing planning problem; manufacturing scheduling problem; Genetic algorithms; Job shop scheduling; Manufacturing; Organisms; Planning; Sociology; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design & Test Symposium (EWDTS), 2014 East-West
Conference_Location :
Kiev
Type :
conf
DOI :
10.1109/EWDTS.2014.7027075
Filename :
7027075
Link To Document :
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