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