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ArticleName Enhancing hourly application efficiency of mining machinery at Mirny Mining and Processing Works, Alrosa
DOI 10.17580/gzh.2017.03.10
ArticleAuthor Zyryanov I. V., Reshetnikov S. V., Zolotukhin G. K., Danilovа V. E.

Polytechnic Institute (Division), Ammosov North-Eastern Federal University, Mirny, Russia:

I. V. Zyryanov, Head of a Chair, Doctor of Engineering Sciences,
G. K. Zolotukhin, Senior Lecturer,
V. E. Danilova, Post-Graduate Student

Yakutniproalmaz Institute, Mirny, Russia:

S. V. Reshetnikov, Acting Head of a Sector,


Efficient utilization of equipment is one of the basics of successful performance of any plant. Correct assessment of operating results of machinery provides an accurate perception of technical level of equipment, enables identification of utilization improvement range and makes it possible to draw conclusions on soundness of long-term investment. For these reasons, it is required to have clear criteria (indexes) for the actual reliable assessment of operational efficiency of machines. It is known that the operational efficiency criteria for the primary production equipment are assumed the characteristics of physical load of the equipment – quantity of executed work, freight turnover for transport (tons per kilometer) and capacity for mining machinery (per hour, shift, year, measured in cubic meters, tons and meters). At the same time, for machines used in non-productive operations in hourly mode, considering specific character of application, it is difficult to determine cost based on the physical load depending on the preset objectives. The article proposes actions to reveal the causes of inefficient hourly utilization of such machines when reaching production goals and to identify potential areas of improvement in the machine performance with regard to actual physical loads using the dedicated algorithm. The research findings have been discussed and accepted for the use at Alrosa Company.

keywords Hourly mining machinery, utilization efficiency, time keeping, algorithm

1. Lunyashin P. Bulldozer – assessment before the choice. Recommendations for the choice of bulldozer. Osnovnye sredstva. 2013. No. 6. pp. 72–78.
2. Zyryanov I. V., Reshetnikov S. V., Popov V. V. About rational criterion of service life of mine dump trucks. Gornyi Zhurnal. 2014. No. 1. pp. 15–18.
3. Anistratov K. Yu., Borshch-Komponiets L. V. Investigation of indicators of operation of mine dump trucks for substantiation of park structure and regularities of motor-transport working. Gornaya promyshlennost. 2011. No. 4. pp. 38–49.
4. Makina A. V. Cost analysis of transport engineering operation. Spravochnik ekonomista. 2014. No. 10. pp. 54–58.
5. Efremov A. N. Method of calculation of exploitation production capacity of surface planning diggers. Stroitelnye i dorozhnye mashiny. 2015. No. 5. pp. 42–46.
6. Anistratov K. Yu. Mathematical economic model of overall mining process mechanization at open pits. Gornaya promyshlennost. 2015. No. 3. pp. 54–55.
7. Popov D. K., Danilova V. E., Semenov A. B. Exploitation assessment of hourly operation of technics in Mirnyy Mining and Processing Division. Youngsters and scientific-technical progress in the modern world : collection of reports of the VI all-Russian scientific-practical conference of students, post-graduate students and young scientists, Moscow, 16–17 of April, 2015. Moscow, 2015. pp. 76–82.
8. Anistratov K. Yu. Developing the strategy of technological refurbishing of open pits. Gornaya promyshlennost. 2012. No. 4. pp. 90–92.
9. Vueykova O. N. Influence of mining-technical and exploitation factors on idle time of mine dump trucks waiting for loading work. Problems and prospects of development of Eurasian transport systems : materials of the V International scientific-practical conference. Chelyabinsk, 2013. pp. 291–293.
10. Richtige Entscheidung. GP: Gesteins-Perspekt. 2014. No. 3(18). pp. 62–63.
11. Perfekt abgestimmt. GP: Gesteins-Perspekt. 2014. No. 5(18). p. 36.
12. Wheel loaders keep warm by moving iron ore at Kiruna: one of the largest underground mines puts Volvo's new diesel engine to the test. Engineering & Mining Journal. 2013. Vol. 214. No. 2. pp. 55–56.
13. Nikolaev M. V., Grigorieva E. E., Gulyaev P. V. Assessment of risks influencing innovation activity of industrial enterprises (on example of diamond-brilliant complex). Eurasian mining. 2016. No. 2. pp. 6–10. DOI: 10.17580/em.2016.02.02

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