DocumentCode
438888
Title
Research on optimization method for hybrid assembly line design
Author
Yong-Fa, Qin ; Ming-yang, Zhao
Author_Institution
Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang, China
Volume
1
fYear
2004
fDate
6-9 Dec. 2004
Firstpage
509
Abstract
In a dynamical manufacturing environment hybrid assembly line is used widely because of its flexibility and reconfigurability. Hybrid assembly line design problem is more difficult and complex than ordinary simple line design problems. On the basis of modeling the hybrid assembly line design problem and design objectives, an intelligent multiobjective optimization algorithm is proposed. Some essential problems such as the algorithm flowchart, chromosomes encoding, algorithm operators, chromosomes amending, and a kind of Pareto-based multiobjective tackling mechanism are described. A numerical example shows that the proposed method is capable of deal with the constrained multiobjective optimization problem of hybrid assembly line design.
Keywords
Pareto optimisation; assembling; flowcharting; genetic algorithms; process design; simulated annealing; algorithm flowchart; algorithm operators; chromosomes amending; chromosomes encoding; dynamical manufacturing environment; hybrid assembly line design; multiobjective optimization; Algorithm design and analysis; Biological cells; Constraint optimization; Decision making; Design optimization; Educational institutions; Genetic algorithms; Manufacturing automation; Optimization methods; Robotic assembly;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN
0-7803-8653-1
Type
conf
DOI
10.1109/ICARCV.2004.1468878
Filename
1468878
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