International Journal of Computational Intelligence Systems

Volume 7, Issue sup2, July 2014, Pages 3 - 14

A joint optimization strategy for scale-based product family positioning

Authors
Yangjian Ji, Tianyin Tang, Chunyang Yu, Guoning Qi
Corresponding Author
Yangjian Ji
Available online July 2014.
DOI
https://doi.org/10.1080/18756891.2014.947087How to use a DOI?
Keywords
Scale-based product family, product portfolio, product family positioning, joint optimization
Abstract
With the development of modern technologies and global manufacturing, it becomes more difficult for companies to distinguish themselves from their competitors. In order to keep their competitive advantages, companies must properly position their product families by offering a right product portfolio to each target market. To evaluate competitive advantages for a scale-based product family, this paper takes product family competitive advantage (PFCA) as a measure metric which is consisted of customer choice probability, sales, and profit. Meanwhile, to keep lower manufacturing costs, a commonality index of scale-based product family is proposed based on product design technology parameters in a product family. A multi-objective joint optimization model that balances the competitive advantages and the commonality is proposed. Based on a case study of motor product family positioning, Pareto frontier solutions are generated by genetic algorithm, and the results show that the joint optimization model excels in supporting product family positioning.
Copyright
© The authors.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - JOUR
AU  - Ji, Yangjian
AU  - Tang, Tianyin
AU  - Yu, Chunyang
AU  - Qi, Guoning
DA  - 2014/07/01
TI  - A joint optimization strategy for scale-based product family positioning
JO  - International Journal of Computational Intelligence Systems
SP  - 3
EP  - 14
VL  - 7
IS  - sup2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.947087
DO  - https://doi.org/10.1080/18756891.2014.947087
ID  - Ji2014
ER  -