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

Seung Ki Moon; Timothy W. Simpson; Soundar R.T. Kumara

doi:10.1142/9789814280280_0018

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

Seung Ki Moon, Timothy W. Simpson, Soundar R.T. Kumara

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

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 language	English (US)
Title of host publication	Handbook of Research in Mass Customization and Personalization
Publisher	World Scientific Publishing Co.
Pages	338-356
Number of pages	19
ISBN (Electronic)	9789814280280
ISBN (Print)	9789814280259
DOIs	https://doi.org/10.1142/9789814280280_0018
State	Published - Jan 1 2009

All Science Journal Classification (ASJC) codes

General Engineering
General Economics, Econometrics and Finance
General Business, Management and Accounting

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10.1142/9789814280280_0018

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

Abstract

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