The number of product varieties offered by manufacturers has increased drastically as a result of the paradigm change from mass production to mass customization. High product variety introduces complexity in manufacturing. In this paper, we discuss product family design to minimize manufacturing complexity in manual, mixed-model assembly systems. A concept of relative complexity is proposed to help system designers making decisions on product family selection. Based on the relative complexity, a model for product variety selection is then proposed to find the best combination of product variants to be provided to the market in order to maximize market share and minimize manufacturing complexity. A numerical example is provided to demonstrate the approach.
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ASME 2009 International Manufacturing Science and Engineering Conference
October 4–7, 2009
West Lafayette, Indiana, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-4362-8
PROCEEDINGS PAPER
Product Family Design to Minimize Manufacturing Complexity in Mixed-Model Assembly Systems
He Wang,
He Wang
Shanghai Jiao Tong University, Shanghai, China
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Xiaowei Zhu,
Xiaowei Zhu
University of Michigan, Ann Arbor, MI
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S. Jack Hu,
S. Jack Hu
University of Michigan, Ann Arbor, MI
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Zhongqin Lin,
Zhongqin Lin
Shanghai Jiao Tong University, Shanghai, China
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Guanlong Chen
Guanlong Chen
Shanghai Jiao Tong University, Shanghai, China
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He Wang
Shanghai Jiao Tong University, Shanghai, China
Xiaowei Zhu
University of Michigan, Ann Arbor, MI
S. Jack Hu
University of Michigan, Ann Arbor, MI
Zhongqin Lin
Shanghai Jiao Tong University, Shanghai, China
Guanlong Chen
Shanghai Jiao Tong University, Shanghai, China
Paper No:
MSEC2009-84045, pp. 525-534; 10 pages
Published Online:
September 20, 2010
Citation
Wang, H, Zhu, X, Hu, SJ, Lin, Z, & Chen, G. "Product Family Design to Minimize Manufacturing Complexity in Mixed-Model Assembly Systems." Proceedings of the ASME 2009 International Manufacturing Science and Engineering Conference. ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2. West Lafayette, Indiana, USA. October 4–7, 2009. pp. 525-534. ASME. https://doi.org/10.1115/MSEC2009-84045
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