A joint optimization strategy for scale-based product family positioning

DOI

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

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Yangjian Ji
AU  - Tianyin Tang
AU  - Chunyang Yu
AU  - Guoning Qi
PY  - 2014
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  - Supplement 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.947087
DO  - 10.1080/18756891.2014.947087
ID  - Ji2014
ER  -