Authors: Yiyang Zhang, Jianxin Jiao
Addresses: School of Mechanical and Aerospace Engineering, Nanyang Technological University, Nanyang Avenue 50, 639798, Singapore. ' School of Mechanical and Aerospace Engineering, Nanyang Technological University, Nanyang Avenue 50, 639798, Singapore
Abstract: To keep a competitive advantage, it is imperative for industries to deliver the |right| product offerings to the target market. The selection of an optimal mix of product variants becomes a critical decision problem facing companies across industries, namely product family positioning. To deal with the dilemmas involved in the product family positioning problem, a maximising customer value model is proposed. A genetic algorithm is applied to solve the combinatorial optimisation problem. A case study of motor product family positioning is reported to validate the feasibility of the proposed methodology.
Keywords: product family positioning; customer value; genetic algorithms; competitive advantage; product development; product mix; product variants; product families; automotive products; product variety.
International Journal of Product Development, 2005 Vol.2 No.4, pp.339 - 352
Published online: 25 Oct 2005 *Full-text access for editors Access for subscribers Purchase this article Comment on this article