Platform based evolutionary product customization

Zun Mao Ren, Zu Hua Jiang, George Q. Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


This paper is concerned with the development of a methodology for customizing product designs from a product platform using genetic algorithm to satisfy customers' requirements. The structure of the product platform was modeled by an AND/OR/RL tree. Each node in the tree denotes a module, a component or a variable. The optimal product design includes the structural design and its relevant parameters. Two-layer evolutionary algorithm was employed for identifying the optimal structure and its parameters. A case study on the worm gear reducer was given to illustrate the framework and the proof-of-the-concept prototype system while the framework must be further substantiated through more comprehensive case studies.

Original languageEnglish
Pages (from-to)857-863
Number of pages7
JournalShanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
Issue number6
Publication statusPublished - Jun 2005
Externally publishedYes


  • Customization design
  • Evolutionary design
  • Genetic algorithm
  • Genetic programming
  • Mass customization
  • Product platform

ASJC Scopus subject areas

  • General


Dive into the research topics of 'Platform based evolutionary product customization'. Together they form a unique fingerprint.

Cite this