An optimization approach of product design with consumer preference uncertainty

Jing Du, Xiaoming Hu, Qiang Lu, Suxiu Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Product design optimization has traditionally been dealt with consumer preference as a deterministic process, such as conjoint analysis and multi-dimensional scaling. Actually, the hypothesis in those methods that consumer needs and preference are static and insulated is questioned by many marketing researchers. Preference dynamic and dependence suggest itself to be a challenging task. This paper reports an application of product design optimization capturing consumer preference uncertainty to laptop design. Preference dynamic character has been described as a Bayesian update process. Then, a generalized utility model is developed to facilitate the influence of preference dependence. To overcome the short of first-choice rule and probabilistic rule, a threshold-based choice rule is presented.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
PublisherIEEE Computer Society
Pages197-201
Number of pages5
ISBN (Print)9781467329453
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012 - Hong Kong, China
Duration: 10 Dec 201213 Dec 2012

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
Country/TerritoryChina
CityHong Kong
Period10/12/1213/12/12

Keywords

  • Product design optimization
  • preference dependence
  • preference dynamic
  • preference uncertainty

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