Multi-objective optimization method for product family design

Xing Gang Luo, Li Qing Cai, Chun Kit Kwong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


To help the product development team select optimization solutions with multiple objectives interactively in the product family design process, a multi-objective optimization model for product family design was proposed, and multi-objective genetic algorithm was designed to solve the proposed model. Factors such as market segmentation, product utility, competitive products, consumer purchasing behavior and product development cost were considered in the modeling process. A case study was provided to evaluate the feasibility of the proposed model and method.
Original languageChinese (Simplified)
Pages (from-to)1345-1355
Number of pages11
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Issue number7
Publication statusPublished - 1 Jul 2011


  • Conjoint analysis
  • Genetic algorithms
  • Multi-objective optimization
  • Product development
  • Product family

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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