DocumentCode :
3178303
Title :
Research on dual-resource multi-objective flexible job shop scheduling under uncertainty
Author :
Lang, Maotao ; Li, Hua
Author_Institution :
Sch. of Econ. & Manage., Xidian Univ., Xi´´an, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
1375
Lastpage :
1378
Abstract :
The actual flexible job-shop scheduling problem usually involves multiple objectives optimization, more than one resource constraint and uncertain operation time. The model of dual-resource multi-objective flexible job shop scheduling problem, which considers dual-resource constraints of machines and workers and uncertain operation time constraint, is established, and it takes delivery satisfaction, cost, energy consumption and noise pollution as the optimized objects based upon the actual situation of flexible job shop. Then, an algorithm that combines grey simulation technology and non-dominated sorting genetic algorithm II (NSGA-II) is designed according to the character of the model, and the algorithm process is presented.
Keywords :
energy consumption; genetic algorithms; grey systems; job shop scheduling; noise pollution; NSGA-II; dual-resource multiobjective flexible job shop scheduling; energy consumption; grey simulation technology; multiple objectives optimization; noise pollution; nondominated sorting genetic algorithm II; resource constraint; uncertain operation time; Energy consumption; Job shop scheduling; Mathematical model; Noise; Programming; Stochastic processes; Dual-resource Multi-objective Optimization; Flexible Job-shop Scheduling; Grey Simulation; NSGA-II; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6010821
Filename :
6010821
Link To Document :
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