title: A maintenance time prediction method considering ergonomics through virtual reality simulation.
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.
authors.affiliation: Beihang University Key Laboratory of Virtual and Reality, Beijing, China ; The Reliability and Environment Defense Laboratory, Beijing, China.
authors.forename: Dong
authors.initials: D
authors.lastname: Zhou
authors.affiliation: Beihang University Key Laboratory of Virtual and Reality, Beijing, China ; The Reliability and Environment Defense Laboratory, Beijing, China.
authors.forename: Xin-Xin
authors.initials: XX
authors.lastname: Zhou
authors.affiliation: Beihang University Key Laboratory of Virtual and Reality, Beijing, China ; The Reliability and Environment Defense Laboratory, Beijing, China.
authors.forename: Zi-Yue
authors.initials: ZY
authors.lastname: Guo
authors.affiliation: The Reliability and Environment Defense Laboratory, Beijing, China.
authors.forename: Chuan
authors.initials: C
authors.lastname: Lv
keywords: Ergonomics; Maintainability; Motion–time mechanism; Virtual reality