Compensation-based methodology for maintenance time prediction in a virtual environment

Jie Geng, Chuan Lv, Dong Zhou, Ying Li, Zili Wang

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

This study presents a novel compensation-based methodology for maintenance time prediction in a virtual environment during the early stage of product design. According to the work procedure in assigning maintenance tasks, a maintenance process simulation is generated on the virtual maintenance platform by following the simulation principle. The basic compensation time or ratio is acquired by analyzing the relationship between practical human motions and corresponding virtual human motions. After that, the compensation principle is confirmed based on the generated simulation principle. Finally, the simulation time and compensation time are approached according to the compensation model to obtain the predicted time. The obtained predicted time of several cases are accurate to a certain extent compared with feedback information.

Original languageEnglish
Pages (from-to)92-109
Number of pages18
JournalSimulation Modelling Practice and Theory
Volume47
DOIs
StatePublished - Sep 2014
Externally publishedYes

Bibliographical note

Funding Information:
The authors express their sincerest gratitude to the designers for their support in the practical investigation and data collection. The authors would also like to thank the National Natural Science Foundation of China (Grant No. SKVR-10-17 ) for financially supporting this research.

Funding

The authors express their sincerest gratitude to the designers for their support in the practical investigation and data collection. The authors would also like to thank the National Natural Science Foundation of China (Grant No. SKVR-10-17 ) for financially supporting this research.

FundersFunder number
National Natural Science Foundation of China

    Keywords

    • Compensation
    • Maintenance time prediction
    • Virtual simulation

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