The Optimization Analysis of Equipment Maintenance Based on Monte-Carlo Simulation


Article Preview

In order to improve the reliability and security in production, effectively checking and maintaining equipment must be put into practice. In this paper, the on-condition maintenance period of the equipment is optimized by Monte-Carlo for the lowest maintenance cost in unit time by expressing the maintenance interval as an exponential function parameterizing Weibull’s distribution function。Finally, the oil centrifugal pump as an example was demonstrated. The results show that our model has the obvious economic benefits. The optimization analysis of equipment maintenance based on Monte-Carlo provides a theoretical basis for optimized detection and maintenance decisions.



Advanced Materials Research (Volumes 189-193)

Edited by:

Zhengyi Jiang, Shanqing Li, Jianmin Zeng, Xiaoping Liao and Daoguo Yang




D. Geng et al., "The Optimization Analysis of Equipment Maintenance Based on Monte-Carlo Simulation", Advanced Materials Research, Vols. 189-193, pp. 424-427, 2011

Online since:

February 2011




[1] Caldeira Duarte J A, Craveiro J C T A, Trigo T P. International Journal of Pressure Vessels and Piping, 2006, 83: 244-248.

[2] Yongsheng Bai, Lun Ma, Lei Lv. System Simulation Technoligy. Vol. 23(2006), pp.26-29.

[3] Nahas N, Khatab A, Ait-Kadi D, Nourelfath M. Reliability Engineering and System Safety 2008(93): 1658-1672.


[4] Cardoso Joao B, de Almeida Joao R, Dias Jose M. Advaces in Engineering Software, 2008, 39: 505-513.

[5] Fengteng Chen, Hongfu Zuo, Huijuan Li. Mechnical Sicience and Technology for Technology for Aerospace Engineeering. Vol. 8(2008), pp.1082-1084.

[6] KrisvtsovV. Dissertation for the Degree of Doctor of Philosophy, University of Maryland, (2000).

[7] YanezM, et al. ReliabilityEngineering and System Safety, Vol. 2(200), pp.167-180.

Fetching data from Crossref.
This may take some time to load.