DocumentCode :
3591569
Title :
Order Scheduling Multi-objective Optimization
Author :
Chen, Xin-lin ; Zhang, Shuang-wu ; Wang, Xiang-Gang
Author_Institution :
Shenzhen Inst. of Inf. Technol., Shenzhen, China
Volume :
1
fYear :
2009
Firstpage :
281
Lastpage :
284
Abstract :
The research of multi-product manufacturing scheduling under the circumstances of multi-orders is not profound so far, therefore, this paper proposed a new multi-objective optimization model which was base on orders. The objectives of this model include maximization of profit and balanced production. In order to realize balanced production, we use a method which could minimize various resource consumption in consecutive periods of time. To the non-linear and multi-objective problem existed in this model, we adopt the genetic algorithm to realize the model through the usage of Sheffield GATBX and MATLAB programming.
Keywords :
genetic algorithms; mathematics computing; minimisation; order processing; profitability; scheduling; Matlab programming; Sheffield GATBX; genetic algorithm; multiobjective optimization; multiproduct manufacturing scheduling; order scheduling; profit maximization; resource consumption minimisation; Enterprise resource planning; Genetic algorithms; Information technology; Job shop scheduling; Mathematical model; Optimal scheduling; Outsourcing; Production planning; Technology planning; Virtual manufacturing; Genetic algorithm; Optimization model; Order; Schedule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Print_ISBN :
978-0-7695-3688-0
Type :
conf
DOI :
10.1109/ITCS.2009.63
Filename :
5190069
Link To Document :
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