Please use this identifier to cite or link to this item:
|Title:||A manufacturing-oriented approach for multi-platforming product family design with modified genetic algorithm||Authors:||Liu, Z.
Design for manufacturing
|Issue Date:||Dec-2011||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||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.||Source Title:||Journal of Intelligent Manufacturing||URI:||http://scholarbank.nus.edu.sg/handle/10635/50816||ISSN:||09565515||DOI:||10.1007/s10845-009-0365-8|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 17, 2019
WEB OF SCIENCETM
checked on Oct 10, 2019
checked on Oct 13, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.