Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Optimal Research of Equipment Maintenance Interval Based on Monte-Carlo Simulation

Authors
Xianghui Meng, Shaohua Wang
Corresponding Author
Xianghui Meng
Available Online December 2015.
DOI
10.2991/icmmcce-15.2015.310How to use a DOI?
Keywords
Monte-Carlo; Failure Rate; Maintenance Interval
Abstract

The optimization of maintenance interval of new equipment by simulation is brought forward according to related maintenance requirement and reality. According to the features of equipment, the basic hypothesis that failure rate increase linearly, deteriorate coefficient is opted to adjust failure rate in order to illustrate the effect of negative proactive maintenance or break-down maintenance, then the optimization model is constructed based on Monte-Carlo simulation. The applicability of the model is validated by optimization of maintenance interval about a case aiming at maximizing the readiness.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
Series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
ISSN
2352-538X
DOI
10.2991/icmmcce-15.2015.310How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xianghui Meng
AU  - Shaohua Wang
PY  - 2015/12
DA  - 2015/12
TI  - Optimal Research of Equipment Maintenance Interval Based on Monte-Carlo Simulation
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.310
DO  - 10.2991/icmmcce-15.2015.310
ID  - Meng2015/12
ER  -