DocumentCode :
2760002
Title :
Multiproduct Batch Plant Scheduling with Hybrid Buffer Storage Based on DNA Evolutionary Algorithm
Author :
Niu, Qun ; Gu, Xing-Sheng
Author_Institution :
Res. Inst. of Autom., East China Univ. of Sci. & Technol., Shanghai
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
7327
Lastpage :
7331
Abstract :
Flexibility of the process and quality of the scheduling system can be greatly improved using buffer storage in the actual batch production process. Aiming at the complexity of buffer storage, a new model for multiproduct batch plant scheduling with hybrid buffer storage was proposed, which contained three cases which are infinite buffer storage time, finite buffer storage time and no wait time. A novel algorithm named DNA evolutionary algorithm was adopted and the division and the mutation operator were modified so as to suit multiproduct batch plant scheduling. The results of simulations show the feasibility and effectiveness of the proposed model, meanwhile DNA evolutionary algorithm is testified to solve multiproduct batch plant scheduling problem with buffer storage effectively more easily and effectively comparing with GA algorithm
Keywords :
batch processing (industrial); batch production systems; evolutionary computation; industrial plants; mathematical operators; production control; scheduling; DNA evolutionary algorithm; division operator; hybrid buffer storage; multiproduct batch plant scheduling; mutation operator; Batch production systems; Buffer storage; DNA; Evolutionary computation; Genetic mutations; Intelligent control; Scheduling algorithm; Storage automation; Testing; DNA evolutionary algorithm; hybrid buffer storage; multiproduct Batch Plant scheduling; no wait;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1714509
Filename :
1714509
Link To Document :
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