The (α, β)-precise estimates of MTBF and MTTR: Definitions, calculations, and induced effect on machine efficiency evaluation

Pooya Alavian, Yongsoon Eun, Kang Liu, Semyon M. Meerkov, Liang Zhang

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations
Original languageEnglish
Pages (from-to)1004-1009
Number of pages6
JournalIFAC-PapersOnLine
Volume52
Issue number13
DOIs
StatePublished - Sep 2019
Event9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019 - Berlin, Germany
Duration: 28 Aug 201930 Aug 2019

Bibliographical note

Funding Information:
Cselopectyriignhgt ©th 2e01n9u mIFAbCer of measurements necessary for calcu-1020 lating reliable estimates of MTBF and MTTR. The term beingrandomvariableswithexpected valuesTandConsideranunreliablemachinewithup-anddowntime ★★ This work was supported by the DGIST R&D Program of the Tdowρ,respectively. Obviously,theseexpectedvaluesarebeingrandomvariableswithexpectedvaluesTupand M2405-8963 inistry of©Science,2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.ICT and Future Planning (18-EE-01). the exact values of MTBF and MTTR; we use these two Peer review under responsibility of International Federation of Automatic Control.

Keywords

  • Critical number of measurements for desired estimates accuracy
  • Factory floor measurements
  • Induced machine efficiency estimate
  • MTBF and MTTR estimates

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