Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19273
Title: A multiobjective optimization approach for product line design
Authors: Kwong, CK 
Luo, XG
Tang, JF
Keywords: Conjoint analysis (CA)
multiobjective genetic algorithm (MOGA)
product line design
utility
Issue Date: 2011
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on engineering management, 2011, v. 58, no. 1, 5484562, p. 97-108 How to cite?
Journal: IEEE transactions on engineering management 
Abstract: Product line design is a key decision area that a product development team has to deal with in the early stages of product development. Previous studies of product line design have focused on single-objective optimization. However, several optimization objectives may be simultaneously pursued, and the solutions that can address the objectives are required in many practical scenarios. In this research, we propose a one-step multiobjective optimization approach for product line design. The proposed optimization model has three objectives: 1) maximizing the market share of a company's products; 2) minimizing the total product development cost of a product line; and 3) minimizing the total product development cycle time. A curve-fitting method is introduced into the part-worth utility models so that the optimization model can be applied to products with level-based attributes and attributes that have continuous values. A multiobjective genetic algorithm is adopted to solve the optimization model, obtaining a set of nondominated solutions. With the solutions, a new product development team can select a preferred solution interactively in a 2-D graph. An example of the optimal design of a product line of digital cameras is used to illustrate the proposed approach.
URI: http://hdl.handle.net/10397/19273
ISSN: 0018-9391
EISSN: 1558-0040
DOI: 10.1109/TEM.2010.2048909
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