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|dc.title||A manufacturing-oriented approach for multi-platforming product family design with modified genetic algorithm|
|dc.identifier.citation||Liu, Z., Wong, Y.S., Lee, K.S. (2011-12). A manufacturing-oriented approach for multi-platforming product family design with modified genetic algorithm. Journal of Intelligent Manufacturing 22 (6) : 891-907. ScholarBank@NUS Repository. https://doi.org/10.1007/s10845-009-0365-8|
|dc.description.abstract||With highly fragmented market and increased competition, platform-based product family design has been recognized as an effective method to construct a product line that satisfies diverse customer's demands while aiming to keep design and production cost-effective. The success of the resulting product family often relies on properly resolving the inherent tradeoff between commonality across the family and performance loss. In this paper, a systematic multi-platforming product family approach is proposed to design a scale-based product family. In the light of the basic premise that increased commonality implies enhanced manufacturing efficiency, we present an effective platform decision strategy to quantify family design configuration using a commonality index that couples design varieties with production variation. Meanwhile, unlikemany existingmethods that assume a single given platform configuration, the proposed method addresses the multi-platforming configuration across the family, and can generate alternative product family solutions with different levels of commonality. A modified genetic algorithm is developed to solve the aggregated multiobjective optimization problem and an industrial example of a planetary gear train for drills is given to demonstrate the proposed method. © Springer Science+Business Media, LLC 2009.|
|dc.subject||Design for manufacturing|
|dc.contributor.department||CIVIL & ENVIRONMENTAL ENGINEERING|
|dc.description.sourcetitle||Journal of Intelligent Manufacturing|
|Appears in Collections:||Staff Publications|
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