Operating Environment-Based Availability Importance Measures for Mining Equipment (Case Study: Sungun Copper Mine)

被引:8
作者
Nouri Qarahasanlou A. [1 ]
Khalokakaie R. [1 ]
Ataei M. [1 ]
Ghodrati B. [2 ]
机构
[1] Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology, Shahrood
[2] Luleå University of Technology, Luleå
关键词
Availability importance measure; Maintainability; Mining fleet; Operating environment; Reliability;
D O I
10.1007/s11668-016-0205-z
中图分类号
学科分类号
摘要
When a system’s performance is inadequate, the concept of availability importance can be used to improve it. The availability of an item depends on the combined aspects of its reliability and maintainability. In a system consisting of many subsystems, the availability of some subsystems is more important to system performance than others. The availability measure determines the priority of availability across subsystems. Most researchers only consider operation time and ignore the influence of the operating environment; therefore, their estimations are not accurate enough. In contrast to previous research, we focus on the influence of the operating environment on the system/subsystem’s characteristics with a view to prioritizing them based on the importance of availability. The paper considers part of the mining fleet system of Sungun copper mine, including the wagon drill, loader, bulldozer, and dump truck subsystems. We identify an ordered list of possibilities for availability improvement and suggest changes or remedial actions for each item to either reduce its failure rate or reduce the time required to repair it. © 2016, ASM International.
引用
收藏
页码:56 / 67
页数:11
相关论文
共 28 条
[1]  
Barabady J., Kumar U., Reliability analysis of mining equipment: a case study of a crushing plant at Jajarm Bauxite Mine in Iran, Reliab. Eng. Syst. Saf., 93, pp. 647-653, (2008)
[2]  
Ghodrati B., Reliability and operating environment based spare parts planning, Luleå University of Technology, (2005)
[3]  
Barabady J., Kumar U., Availability allocation through importance measures, Int. J. Qual. Reliab. Manag., 24, pp. 643-657, (2007)
[4]  
Beeson S., Andrews J.D., Importance measures for noncoherent-system analysis, IEEE Trans. Reliab., 52, pp. 301-310, (2003)
[5]  
Birnbaum, (1968)
[6]  
Chang H.-W., Chen R.-J., Hwang F.K., The structural Birnbaum importance of consecutive-k systems, J. Comb. Optim., 6, pp. 183-197, (2002)
[7]  
Wang W., Loman J., Vassiliou P., Reliability importance of components in a complex system, IEEE, pp. 6-11, (2004)
[8]  
Borgonovo E., The reliability importance of components and prime implicants in coherent and non-coherent systems including total-order interactions, Eur. J. Oper. Res., 204, pp. 485-495, (2010)
[9]  
Kuo W., Zhu X., Some recent advances on importance measures in reliability, IEEE Trans. Reliab., 61, pp. 344-360, (2012)
[10]  
Ascher H., Regression Analysis of Repairable Systems Reliability. Electronic Systems Effectiveness and Life Cycle Costing, pp. 119-133, (1983)