DocumentCode
1944864
Title
The Research about Integration of Process Planning and Production Scheduling Based on Genetic Algorithm
Author
Zhanjie, Wang ; Ju, Tian
Author_Institution
Dept. of Comput. Eng., Dalian Univ. of Technol., Dalian
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
9
Lastpage
12
Abstract
Lacking of flexibility in the traditional workshop production, a genetic algorithm is proposed to implement the integration of process planning and production scheduling. In order to implement the optimal scheduling of the flexible workshop production, chromosome crossover and mutation are used to select the processing routes and processing machines. Meanwhile, a performance test about the integration of process planning and production scheduling is implemented, and the results shows that the genetic algorithm is efficient to obtain optimal or near optimal process routes which can meet the requirements of production scheduling.
Keywords
flexible manufacturing systems; genetic algorithms; process planning; production planning; scheduling; chromosome crossover; flexible workshop production scheduling; genetic algorithm; mutation; process planning; Computer science; Genetic algorithms; Genetic engineering; Job shop scheduling; Manufacturing processes; Optimal scheduling; Process planning; Processor scheduling; Production systems; Software engineering; Genetic algorithm; integration; process planning; production scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.845
Filename
4721678
Link To Document