System reliability estimation for a manufacturing network with joint buffers

Ping Chen Chang, Yi-Kuei Lin

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

Abstract

A Monte Carlo Simulation (MCS) approach is developed to estimate the system reliability for a multistate manufacturing network (MMN) with joint buffers. System reliability indicates the probability that all workstations provide sufficient capacity to satisfy a specified demand and buffers possess adequate storage. The joint buffers with finite storage are modeled into an MMN. An MCS algorithm is proposed to generate the capacity state and to check the storage usage of buffers to evaluate whether the demand can be satisfied or not. System reliability of the MMN is estimated through simulation. A practical example of footwear manufacturing system shows that system reliability is overestimated when buffer storage is assumed to be infinite.

Original languageEnglish
Title of host publicationConference Proceedings - 23rd ISSAT International Conference on Reliability and Quality in Design
EditorsHoang Pham
PublisherInternational Society of Science and Applied Technologies
Pages29-33
Number of pages5
ISBN (Electronic)9780991057641
StatePublished - 1 Jan 2017
Event23rd ISSAT International Conference on Reliability and Quality in Design 2017 - Chicago, United States
Duration: 3 Aug 20175 Aug 2017

Publication series

NameConference Proceedings - 23rd ISSAT International Conference on Reliability and Quality in Design

Conference

Conference23rd ISSAT International Conference on Reliability and Quality in Design 2017
CountryUnited States
CityChicago
Period3/08/175/08/17

Keywords

  • Finite buffer storage
  • Joint buffers
  • Mote carlo simulation
  • Multistate manufacturing network
  • System reliability

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