Title
A multiobjective optimization approach for product line design
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. © 2006 IEEE.
Year
DOI
Venue
2011
10.1109/TEM.2010.2048909
IEEE Transactions on Engineering Management
Keywords
Field
DocType
conjoint analysis (ca),multiobjective genetic algorithm (moga),product line design,utility,indexing terms,minimisation,market share,mathematical model,conjoint analysis,graph theory,probabilistic logic,product design,multiobjective optimization,product development,product life cycle management,curve fitting,optimal design,cost function,new product development,cycle time,genetic algorithms
Graph theory,Product life-cycle management,Mathematical optimization,Optimal design,Multi-objective optimization,Engineering,Probabilistic logic,Product design,Management science,Genetic algorithm,New product development
Journal
Volume
Issue
ISSN
58
1
null
Citations 
PageRank 
References 
13
0.85
15
Authors
3
Name
Order
Citations
PageRank
C. K. Kwong153340.00
Xing-Gang Luo213814.85
Jiafu Tang354149.29