Volume 6, Issue 3 (2016)                   ORMR 2016, 6(3): 43-60 | Back to browse issues page

‎ 20.1001.1.22286977.1395.6.3.6.8

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Delghandi H, Sayadi A R, Baradaran V, Hoseini S. Availability calculating of open pit mine loading system based on Markov chain model. ORMR 2016; 6 (3) :43-60
URL: http://ormr.modares.ac.ir/article-28-5387-en.html
Availability calculating of open pit mine loading system based on Markov chain model
Hamed Delghandi1 , Ahmad Reza Sayadi 2, Vahid Baradaran3 , SeidHadi Hoseini
1- MSc student of Tarbiat Modares University
2- Tarbiat modares University, Faculty of Eng, Mining dept.
3- Assit. Prof. of Azad University
Abstract:   (9506 Views)
Availability is an important characteristics of the repairable machines system performance and improvement of production planning and loading operation is an important part of the mine production cycle. In this paper an approach to calculate availability of open pit mine loading system based on Markov chain theory has proposed. Markov method is based on different modes of the system and the transition from a state to another. Therefor data analysis and failure and repair rate determination are significant. To illustrate the application of model, the Mishdowan iron mine data was used. Calculation of failure and repair rate indexes and availability of loading system has been determined using Markov chain model. Related statistical tests was used detecting the failure and repair behavior of system for higher degree of accuracy. Based on the results obtained, failure and repair rate for Newholland hydraulic excavator are 0.019 and 0.064 and for Komatsu hydraulic excavator are 0.017 and 0.047, respectively. Additionally, availability of hydraulic excavators of mine loading system is evaluated to be 93.3 percent.
Keywords: Markov Chain, Loading System, Hydraulic Excavator, Availability
Full-Text [PDF 346 kb]   (5336 Downloads)    
Article Type: Research Paper | Subject: -
Received: 2016/01/6 | Accepted: 2016/10/22 | Published: 2016/10/31
Add your comments about this article : Your username or Email:
CAPTCHA
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.