System reliability of a stochastic manufacturing network with reworking action and different yield rates

Ping Chen Chang, Yi-Kuei Lin, Mingchih Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Based on the concept of network analysis, a manufacturing system can be constructed as a stochastic-flow network since the capacity of each machine is stochastic (i.e., multistate) due to the failure, partial failure, and maintenance. Considering reworking action and different yield rates of machines, we measure the probability that the stochastic manufacturing network (SMN) can satisfy demand. Such probability is defined as the system reliability. A decomposition method is firstly proposed to divide the SMN into one general processing path and one reworking path. Subsequently, an algorithm is utilized for generate the lower boundary vector of machine capacity to guarantee that the SMN is able to produce sufficient products fulfilling the demand. The system reliability of the SMN can be derived in terms of such capacity vector afterwards.

Original languageEnglish
Title of host publicationProceedings - 17th ISSAT International Conference on Reliability and Quality in Design
Pages239-243
Number of pages5
StatePublished - 1 Dec 2011
Event17th ISSAT International Conference on Reliability and Quality in Design - Vancouver, BC, Canada
Duration: 4 Aug 20116 Aug 2011

Publication series

NameProceedings - 17th ISSAT International Conference on Reliability and Quality in Design

Conference

Conference17th ISSAT International Conference on Reliability and Quality in Design
CountryCanada
CityVancouver, BC
Period4/08/116/08/11

Keywords

  • Different yield rates
  • Reworking
  • Stochastic manufacturing network (SMN)
  • System reliability

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