DocumentCode :
3362284
Title :
A balancing approach for mixed model assembly line based on GA&SA
Author :
Yongqian, Zheng ; Jin, Zhang ; Meng, Chen ; Shuli, Lv
Author_Institution :
Dept. of Ind. Eng., Tongji Univ., Shanghai, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
5254
Lastpage :
5256
Abstract :
To be an efficient assembly line form, the line balancing and sequencing will be the key problem. Based on the analysis of the mixed model assembly U line design and the assembly process of the different auto bumpers, mixed model U line with fixed or alterable stations is introduced after the forecast of the fluctuating long term demand. The target of the design solution is to minimum the fluctuation of the assembly time spent in the different stations comparing with the equivalent cycle time. A sequencing model was designed aiming at the minimum cost of the otiose and overloading after thoroughly researching in the mixed model assembly line balancing and sequencing methods. An improved genetic algorithm was developed using simulation annealing algorithms, the solution methodology has been finalized and the results was presented.
Keywords :
assembling; automotive components; design engineering; genetic algorithms; simulated annealing; assembly process; auto bumper; genetic algorithm; line sequencing; mixed model assembly U line design; mixed model assembly line balancing; simulation annealing; Assembly systems; Automotive engineering; Demand forecasting; Genetic algorithms; Industrial engineering; Mechanical engineering; Predictive models; Production; Research and development; Simulated annealing; Production sequencing system.componen; improved genetic algorithm (GA&SA); mixed model assembly line; the balancing and sequencing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5536388
Filename :
5536388
Link To Document :
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