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ECONOMICS, ORGANIZATION AND MANAGEMENT
Название Control charts in evaluation of mine performance and growth efficiency
DOI 10.17580/gzh.2019.04.09
Автор Lapaev V. N., Pikalov V. A., Tereshina M. A., Sokolovskaya O. A.
Информация об авторе

NTS Geotekhnologia, Chelyabinsk, Russia:

V. N. Lapaev, Deputy Head of Department, Candidate of Engineering Sciences, lapaev@ustup.ru
V. A. Pikalov, Head of Department, Doctor of Engineering Sciences
M. A. Tereshina, Financial Director, Candidate of Engineering Sciences
O. A. Sokolovskaya, Head of Economic Department

Реферат

Most accounting systems in mining still adhere to targets and paperwork as they were in the planned economy period. Industrial reporting is focused primarily on implementation of plans rather than on identification of causes of the target under-hit or on evaluation of mine capacities. It is suggested to use control charts for the assessment of mine capacities. The features of using control charts in management accounting of mines are given. The peculiarity of the operating activity evaluation at a mine is that mining operations are carried out in highly variable technological conditions and have a high degree of uncertainty in the forecast of the production process parameters. As an example, the mining machinery operation and maintenance using control charts is analyzed. The performance indicators involved in the analysis were down time of excavators depending on their age and hourly efficiency (per cubic meter capacity of bucket) depending on actual operation time. Capacities are evaluated by three indicators of limit range size, absolute average value of a parameter and its frequency of the set range overruns. The interrelation between these indicators and the type of capacities, either technological or organizational, is described. It is concluded that the use of statistical methods for the assessment of mine performance (production processes, operations) will significantly expand the opportunities for management accounting, especially in terms of identifying new capacities inside mining company systems.
The article is prepared with participation of A. A. Makaeva, Post-Graduate Student, NTS Geotekhnologia.

Ключевые слова Production reserves, control charts, management accounting, mining company, efficiency
Библиографический список

1. Chase R. B., Jacobs F. R., Aquilano N. J. Production and Operations Management. Translated from English. 10th ed. Moscow : Williams, 2017. 1094 p.
2. Garrison R., Noreen E., Brewer P. Managerial Accounting. Translated from English. 12th ed. Saint Petersburg : Piter, 2012. 592 p.
3. Helin J., Hernes T., Hjorth D., Holt R. The Oxford Handbook of Process Philosophy and Organization Studies. Oxford : Oxford University Press, 2014. 656 р.
4. Surender Singh. Management accounting. Delhi : PHI Learning, 2016. 572 р.
5. Baskakov V. P., Borzykh E. V., Zhivotyagin A. M., Makarov A. M., Dovzhenok A. S. Standardization of production processes – The key trend of a company development. Series: Mining engineer–manager’s library. Moscow : Gornaya kniga, 2010. Iss. 4. 46 p.
6. Ganitsky V. I. Mining industry management: Terminological dictionary : Teaching aid. Moscow : Gornaya kniga, 2013. 472 p.
7. Netsvetaev A. G., Rubanik Yu. T., Mikhalchenko V. V. Recession in the coal mining industry and modern management theory. Kemerovo : Kuzbassvuzizdat, 1998. 92 p.
8. Czaplicki J. M. Statistics for Mining Engineering. Leiden : CRC Press/Balkema, 2014. 288 р.
9. Orlov A. I. Economy and organization modeling: Theory of decision-making : Textbook. Moscow : Knorus, 2015. 576 p.
10. Wheeler D., Chambers D. Understanding stastistical process control. 3rd ed. Moscow : Alpina Pablisher, 2018. 410 p.
11. Netsvetaev A. G., Rubanik Yu. T., Mikhalchenko V. V. Modern theory of management based on Edwards Deming’s concepts. Available at: http://bigc.ru/theory/books/nrmstu/ (accessed: 18.09.2018).
12. Solonin S. I. Method of control charts. Yekaterinburg, 2014. Available at: http://elar.urfu.ru/bitstream/10995/36131/1/solonin_1_2014.pdf (accessed: 18.09.2018).
13. Pykhtin A. V., Lukoyanov V. A. Quality control tools of statistics : Practical course. Orenburg : Izdatelstvo Orenburgskogo gosudarstvennogo universiteta, 2013. 104 p.
14. Demidenko А. А., Omelchenko I. N., Коrshunov D. I. The analysis of methods for evaluation and monitoring the process of industrial quality control. Organizator proizvodstva. 2015. No. 3. pp. 38–48.
15. Vasiliev V. A., Odinokov S. A., Borisova E. V., Letuchev G. M. Methods of quality management of innovation process. Kachestvo. Innovatsii. Obrazovanie. 2016. No. 8-10. pp. 56–60.
16. Vom Brocke J., Mendling J. Business Process Management Cases Digital Innovation and Business Transformation in Practice. Cham : Springer International Publishing, 2018. 610 p.

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