Market-based strategic platform design for a product family using a Bayesian game

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The objective of this chapter is to propose a methodology for strategic platform design in a product family using concepts from game theory to model the situations of uncertain market environments. We identify module-based platform design for a product family and consider a module selection problem as a strategic game with incomplete information. In particular, a Bayesian game is employed to model uncertainty situations regarding market environments. The proposed Bayesian game is used to decide strategic equilibrium solutions for selecting modules in the product family being designed. To demonstrate implementation of the proposed Bayesian game, we use a case study involving a family of power tools.

Original languageEnglish (US)
Title of host publicationHandbook of Research in Mass Customization and Personalization
PublisherWorld Scientific Publishing Co.
Pages338-356
Number of pages19
ISBN (Electronic)9789814280280
ISBN (Print)9789814280259
DOIs
StatePublished - Jan 1 2009

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All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Economics, Econometrics and Finance(all)
  • Engineering(all)

Cite this

Moon, S. K., Simpson, T. W., & Kumara, S. R. T. (2009). Market-based strategic platform design for a product family using a Bayesian game. In Handbook of Research in Mass Customization and Personalization (pp. 338-356). World Scientific Publishing Co.. https://doi.org/10.1142/9789814280280_0018