A maintenance time prediction method considering ergonomics through virtual reality simulation

Dong Zhou, Xin xin Zhou, Zi yue Guo, Chuan Lv

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Maintenance time is a critical quantitative index in maintainability prediction. An efficient maintenance time measurement methodology plays an important role in early stage of the maintainability design. While traditional way to measure the maintenance time ignores the differences between line production and maintenance action. This paper proposes a corrective MOD method considering several important ergonomics factors to predict the maintenance time. With the help of the DELMIA analysis tools, the influence coefficient of several factors are discussed to correct the MOD value and the designers can measure maintenance time by calculating the sum of the corrective MOD time of each maintenance therbligs. Finally a case study is introduced, by maintaining the virtual prototype of APU motor starter in DELMIA, designer obtains the actual maintenance time by the proposed method, and the result verifies the effectiveness and accuracy of the proposed method.

Original languageEnglish
Article number1239
JournalSpringerPlus
Volume5
Issue number1
DOIs
StatePublished - 1 Dec 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016, The Author(s).

Keywords

  • Ergonomics
  • Maintainability
  • Motion–time mechanism
  • Virtual reality

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