A quantitative performance measurement regarding reconfigurable manufacturing systems

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

5 Citations (Scopus)

Abstract

The reconfiguration process is used for manufacturing system to improve the system's performance due to new circumstances. The new circumstance means changing in the marketing demand, changing in a product design, and/or introducing a new product. Reconfigurable manufacturing system (RMS) has potential quantitative and qualitative measures. As manufacturing firms (companies) has a great impact on the performance of a manufacturing system, the selection of the objectives to measure the performance will be achieved appropriately. These objectives have the critical requirements for a RMS and they are: cost, response, system productivity, people behavior, inventory, and quality. Since each criterion measure in a RMS is a potential source of evaluation, it should be considered as a relative weight as the others. First, it will be measured individually. Second, these measures need to be evaluated through an aggregate quantitative metric because there is a lack of analytical techniques to analyze and evaluate both qualitative and quantitative measures. A new quantitative metric for evaluation the RMS regarding updating (upgrading) the system for next period based on the previous one is presented in this paper to measure the reconfiguration methodology [1]. The new metric will be demonstrated through a numerical example.

Original languageEnglish
Title of host publicationIIE Annual Conference and Expo 2008
Pages734-739
Number of pages6
Publication statusPublished - 2008
EventIIE Annual Conference and Expo 2008 - Vancouver, BC, Canada
Duration: May 17 2008May 21 2008

Other

OtherIIE Annual Conference and Expo 2008
CountryCanada
CityVancouver, BC
Period5/17/085/21/08

Keywords

  • Performance measurements
  • Reconfigurable manufacturing systems

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Industrial and Manufacturing Engineering

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