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ASME Press Select Proceedings
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
82 Mixed-Model Assembly Line Balancing Concerning Choice Complexity
By
Kunpeng Wang
,
Kunpeng Wang
The State Key Laboratory of Digital Manufacturing Equipment and Technology,
Huazhong University of Science and Technology
, Wuhan, Hubei
, China
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Yunqing Rao
,
Yunqing Rao
The State Key Laboratory of Digital Manufacturing Equipment and Technology,
Huazhong University of Science and Technology
, Wuhan, Hubei
, China
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Wei Zhou
Wei Zhou
The State Key Laboratory of Digital Manufacturing Equipment and Technology,
Huazhong University of Science and Technology
, Wuhan, Hubei
, China
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Page Count:
4
-
Published:2011
Citation
Wang, K, Rao, Y, & Zhou, W. "Mixed-Model Assembly Line Balancing Concerning Choice Complexity." International Conference on Mechanical Engineering and Technology (ICMET-London 2011). Ed. Lee, G. ASME Press, 2011.
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Most researchers committed themselves to maximizing the line efficiency so as to balance the mixed-model assembly line in the past few decades. However, the efficiency of the line can also be subject to the overall choice complexity of the tasks assigned to one of the stations. Few researchers made an attempt to balance the line concerning choice complexity. In the paper, the complexity of the tasks is measured with choice complexity which is quantified by information entropy. Furthermore, a genetic algorithm for balancing the line concerning choice complexity is represented with the aim of minimizing the cycle complexity. Several numerical...
Abstract
Keywords
1 Introduction
2 Measurement of Choice Complexity
3 Application of a Genetic Algorithm to MMAL Balancing Problem
4 Numerical Examples
5 Conclusions
Acknowledgments
References
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