Probabilistic evaluation of product development task planning us worth flow analysis

Toshiharu Miwa, Hideki Aoyama, Kosuke Lshii

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The acceleration of the product development cycle continues to be a significant challenge for manufacturing firms around the world. The present paper describes a task planning method that takes the uncertain relationships among the product components into consideration in order to reduce the development time in large-scale and complicated product development with uncertainty at the early stage of product development, We developed a probabilistic worth flow analysis to evaluate each product component for task prioritization with an uncertain relationship among product components, The method calculates the probabilistic distribution of worth flow of each product component based on the probabilistic relationship among product components with the Monte Carlo simulation and determines the development sequence of each component so as to minimize the possibility with the highest feedback information across the task groups. The present paper describes an example of a generic hair drier with a simple mechanical structure developed using the proposed method in order to reduce the uncertainty of feedback inforn~ation across the task groups while maintaining the uncertainty within same task grollps in case the uncertainty has an asymmetric distribution.

Original languageEnglish
Title of host publication2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
Pages227-235
Number of pages9
Publication statusPublished - 2009 Nov 23
Event2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008 - New York City, NY, United States
Duration: 2008 Aug 32008 Aug 6

Publication series

Name2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
Volume5

Other

Other2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
CountryUnited States
CityNew York City, NY
Period08/8/308/8/6

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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  • Cite this

    Miwa, T., Aoyama, H., & Lshii, K. (2009). Probabilistic evaluation of product development task planning us worth flow analysis. In 2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008 (pp. 227-235). (2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008; Vol. 5).