Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia¹ ; Tomsk Agricultural Institute Branch of the Novosibirsk State Agricultural University, Tomsk, Russia²:

N. A. Yarushkina^{1, 2}, Associate Professor, Candidate of Economic Sciences

Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia¹ ; National Research Tomsk State University, Tomsk, Russia²:

E. G. Matyugina^{1, 2}, Professor, Associate Professor, Doctor of Economic Sciences

Tomsk Agricultural Institute Branch of the Novosibirsk State Agricultural University, Tomsk, Russia:

O. M. Kerb, Head of Department, Associate Professor, Candidate of Economic Sciences, o.kerb@mail.ru

The approach to selecting a supplier for the coal industry is considered in the framework of the cost–time concept. The proposed approach uses the Pareto analysis and the BOFa method (decision-making among a set of multiple-attribute alternatives) which allow gradual elimination of less attractive options and selection of the best supplier according to the set of criteria. It is possible to change the list of suppliers with the introduction of a risk factor. This article is related to the justification of approaches to selecting an assets supplier for a coal mining company. The research object is the activity of Kuzbassrazrezugol JSC’s branch in Bachaty in terms of motor oil delivery from companies in the Kemerovo and Novosibirsk Regions and in the Altai Krai. The article describes the company’s activity dynamics and the structure of coal production and supply per open pit coal mines. The criteria for selecting suppliers are the price of an asset, availability of prepayment, as well as the method and distance of delivery which directly form the cost of the purchased asset. It is noted that the specific features of a certain company determine the multivariance of both formulation of a multi-criteria optimization problem with the criteria of different levels of significance and possible solutions of the problem. A two-stage supplier evaluation using the Pareto analysis and the BOFa method is proposed. The Pareto analysis to create a set of alternatives recognizes the best alternative as an alternative which is equal or better than the other alternative based on the selected criteria; the goal is to exclude the least attractive option from the list. The ranking is based on the relationship between the cost–time parameters, and the price factors are preferable as they are insensitive to a buyer’s influence while governing a company’s performance. The next stage is selecting a supplier based on a set of criteria using the BOFa method which is invariant to the number and type of particular criteria and alternatives. This method is used to rank the criteria and to determine their weights, as well as the weights and ranks of alternatives are determined for each criterion, including the normalized alternatives, which finally enable calculation of a generalized criterion for each company. The option of adding the list with a new supplier which the best (averaged) parameters as compared with the listed supplier is considered; due to the lack of any experience of cooperation with such supplier, the latter is assigned a high level of risk. The proposed approach can be used by any company regardless industry classification.

1. Johnson P. F., Leenders M. R., Flynn A. E. Purchasing Supply Management. 14^th ed. New York : McGraw-Hill/Irwin, 2011. 554 p.
2. Andreeva T. A., Yashina M. N., Andreev A. V. Cultivation of suppliers in the quality management system of a company. Vestnik Saratovskogo gosudarstvennogo sotsialno-ekonomicheskogo universiteta. 2018. No. 5(74). pp. 12–18.
3. Degtyareva N. M., Yakovlev R. Approaches for selection and assessment of suppliers companies. Vestnik Volzhskogo universiteta im. V. N. Tatishcheva. 2015. No. 1(33). pp. 100–105.
4. Veselova Yu. V. Criteria and methods of selecting suppliers on the basis of application of principles of logistics. The scientific heritage. 2019. Vol. 2, No. 37. pp. 3–7.
5. Kubareva O. A., Arsenteva A. S., Bystrov O. F. Comparative analysis and choice of the supply chain of cargo according to the cost–time criteria. Vestnik nauki i obrazovaniya. 2018. Vol. 1, No. 5(41). pp. 43–45.
6. Faskhiev Kh. A. Reasoned selection of suppliers as a competitiveness factor of a company. Logistika segodnya. 2018. No. 4. pp. 294–308.
7. Taherdoost H., Brard A. Analyzing the Process of Supplier Selection Criteria and Methods. Procedia Manufacturing. 2019. Vol. 32. pp. 1024–1034.
8. Vacar Anca. Logistics and supply chain management: an overview. Studies in Business and Economics. 2019. Vol. 14, Iss. 2. pp. 209–215.
9. Azmi I., Hamid N. A., Hussin M. N. M., Ibtishamiah N. Logistics and supply chain management: The importance of integration for business processes. Journal of Emerging Economies and Islamic Research. 2017. Vol. 5, No. 4. pp. 73–80.

10. Kudełko J. Structurization of mining companies. Mineral Resources Management. 2016. Vol. 32, Iss. 4. pp. 157–180.
11. Galiev Zh. K., Galieva N. V. Economic conditions of coal industry performance in Russia. Gornyi Zhurnal. 2019. No. 1. pp. 33–36. DOI: 10.17580/gzh.2019.01.07
12. Agafonov V. V., Osharov A. V., Zakharov S. I. Organization of competitive technical service of ensuring operability of the mining-transport equipment. Ugol. 2019. No. 10. pp. 79–84.
13. Kuzbassrazrezugol JSC. Corporate Information Disclosure Center. Available at: https://e-disclosure.ru/portal/files.aspx?id=10488&type=2 (accessed: 24.06.2021).
14. DROM. Available at: https://baza.drom.ru/ (accessed: 28.06.2021).
15. Bystrov O. F., Maltsev A. V., Okhotnikov G. N., Roldugin V. D., Torbin V. U. Theoretical framework for modeling military technical systems : Textbook. Moscow : RVSN, 1993. 488 p.
16. Bystrov O. F. Decision-making technique in selection tasks on the set of alternatives on the set of indicators—The BOFem method. Ekonomicheskie i sotsialno-gumanitarnye issledovaniya. 2018. No. 3(19). pp. 12–18.
17. Gadzhinskiy A. M. Logistics : Textbook. 20^th ed. Moscow : Dashkov i Ko, 2012. 484 p.