Paper Title:
The Optimization Analysis of Equipment Maintenance Based on Monte-Carlo Simulation
  Abstract

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.

  Info
Periodical
Advanced Materials Research (Volumes 189-193)
Edited by
Zhengyi Jiang, Shanqing Li, Jianmin Zeng, Xiaoping Liao and Daoguo Yang
Pages
424-427
DOI
10.4028/www.scientific.net/AMR.189-193.424
Citation
D. Geng, S. M. Zhang, D. G. Wang, J. Gao, L. S. Dai, "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
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Price
$32.00
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