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