Toward an information management infrastructure for product family planning and mass customization

Steven B. Shooter, Timothy W. Simpson, Soundar R.T. Kumara, Robert B. Stone, Janis P. Terpenny

Research output: Contribution to conferencePaper

22 Scopus citations

Abstract

Complex new product development requires numerous decisions by many individuals and groups, which are often geographically and temporally distributed. There is a need to share and coordinate distributed resources and synchronize decisions, and recent advances in information technology (IT) pose an untapped potential for assisting in the capture, storage, retrieval and facilitated use of product development information. We exploit IT to address this problem through the proposed approach to Product Family Planning. By sharing assets such as components, processes and knowledge across a family of products, companies can efficiently develop differentiated products and increase the flexibility and responsiveness of their product realization process. In this paper we describe our recent efforts in realizing an information management infrastructure for product family planning and platform customization. In particular, we focus on three current research thrusts to identify product platform leveraging strategies to support future product family planning: (1) an evolutionary approach to product platforming, (2) a bottom-up approach to product platforming, and (3) industry-based platform case studies. Future research directions are also outlined.

Original languageEnglish (US)
Pages781-790
Number of pages10
DOIs
StatePublished - 2004
Event2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference - Salt Lake City, UT, United States
Duration: Sep 28 2004Oct 2 2004

Other

Other2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference
CountryUnited States
CitySalt Lake City, UT
Period9/28/0410/2/04

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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    Shooter, S. B., Simpson, T. W., Kumara, S. R. T., Stone, R. B., & Terpenny, J. P. (2004). Toward an information management infrastructure for product family planning and mass customization. 781-790. Paper presented at 2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Salt Lake City, UT, United States. https://doi.org/10.1115/detc2004-57430