DocumentCode :
555644
Title :
Planning and optimization of assembly line simulation
Author :
Zhang, Shun-tang ; Zhang, Dai-qin
Author_Institution :
Dept. of Manage. Sci. & Eng., Shandong Inst. of Bus. & Technol., Yantai, China
Volume :
Part 2
fYear :
2011
fDate :
3-5 Sept. 2011
Firstpage :
816
Lastpage :
820
Abstract :
The assembly line in manufacturing, especially in the manufacture of electronic products occupies an important position. Considering complex optimization problems in assembly-line planning, establishing a mathematic model about assembly-line balancing planning, applying genetic algorithms which is based on feasible operation sequence could help to acquire static optical solution of operating balance planning. While building dynamic simulation of the production-line to authenticate and evaluate the Dynamic performance of production line running. The results fed into the planning process to fix the static planning, consequently improve and optimize the overall design of assembly planning.
Keywords :
assembly planning; electronics industry; genetic algorithms; process design; process planning; assembly line balancing; assembly line planning; electronic products manufacture; genetic algorithms; mathematic model; optimization; production line dynamic performance; static planning design; Analytical models; Assembly; Biological cells; Object oriented modeling; Optimization; Planning; Production; Assembly-line balancing planning; genetic algorithm; production line simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-61284-446-6
Type :
conf
DOI :
10.1109/ICIEEM.2011.6035284
Filename :
6035284
Link To Document :
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