Key performance indicators of project management decisions for sustainable operation of geotechnological complexes

This article presents key performance indicators for project management decisions aimed at ensuring the sustainable operation of geotechnical complexes during open-pit mining of solid mineral deposits using motor vehicles. The continuous development of mining equipment, technologies, and computing equipment leads to the increasing complexity and improvement of production management systems aimed at enhancing the efficiency and competitiveness of mining enterprises. The quality, validity, efficiency, and timeliness of management decisions have a dominant influence on the operational efficiency of enterprises. Project management decisions for geotechnical complexes on surface mining are developed using methods for calendar scheduling of technological processes taking into account the flexible, regulated standardization of technological indicators. This approach ensures a systematic and step-by-step consideration of the specific mining, geological, and mining-technical conditions of quarry operation, which contributes to increased efficiency in managing production operations and the degree of decision-making formalization. It has been established that key performance indicators are interrelated in a complex manner, directly or indirectly influencing one another. This allows for a comprehensive assessment of the effectiveness of both individual geotechnical complex work plans and the overall operations of the mining enterprise, creating a reliable methodological basis for making informed strategic, tactical, and operational management decisions aimed at sustainable development and increasing the competitiveness of the enterprise.

Boyandinova A. A., Adilkhanova Zh. A. Key performance indicators of project management decisions for sustainable operation of geotechnological complexes. MIAB. Mining Inf. Anal. Bull. 2026;(2-1):182-196. [In Russ]. DOI: 10.25018/0236_1493_2026_21_0_182.

The study was supported by the Committee of Industry of the Ministry of Industry and Construction of the Republic of Kazakhstan on PCF BR23991563 «Creation of innovative resource-saving technologies for extraction and complex processing of mineral and man-made raw materials».

A.A. Boyandinova¹, Dr. Sci. (Eng.), Associate Professor, Scientific Secretary, e-mail: A.Boyandinova@mail.ru, ORCID ID: 0009-0001-5197-4599, 
Zh.A. Adilkhanova¹, Cand. Sci. (Eng.), Head of Laboratory, e-mail: Zhanna_mark10@mail.ru, ORCID ID: 0000-0002-2637-4006,
¹ D.A. Kunaev Institute of Mining, 050046, Almaty, Kazakhstan.

Zh.A. Adilkhanova, e-mail: Zhanna_mark10@mail.ru.

1. Shabarov A. N., Kuranov A. D. Main directions of the mining industry development under increasingly complex mining and technical conditions. Gornyi Zhurnal. 2023, no. 5, pp. 5—34. [In Russ]. DOI: 10.17580/gzh.2023.05.01.

2. Kuletskiy V. N. Razrabotka kompleksa resheniy po formirovaniyu ugol'nogo razreza novogo tekhniko-tekhnologicheskogo urovnya [Development of a set of solutions for the formation of a coal open-pit mine of a new technical and technological level], Candidate’s thesis, Magnitogorsk, 2013, 24 p.

3. Trubetskoy K. N., Galchenko Y. P., Ozaryan Y. A. Ecological price of mineral raw materials as a potential regulator of the technological paradigm of subsurface use in the context of sustainable development. News of the Tula state university. Sciences of Earth. 2021, no. 2, pp. 396—409. [In Russ].

4. Xu C., Chen G., Lu H., Zhang Q., Liu Z., Bian J. Integrated optimization of production scheduling and haulage route planning in open-pit mines. Mathematics. 2024, vol. 12, article 2070. DOI: 10.3390/math12132070.

5. Aghdamigargari M., Avane S., Anani A., Adewuyi S. O. Sustainability in long-term surface mine planning: A systematic review of operations research applications. Sustainability. 2024, vol. 16, article 9769. DOI: 10.3390/su16229769.

6. Shan D., Qu F., Wang Z., Ji Y., Xu J. A review of the application of computer vision techniques in sustainable engineering of open pit mines. Sustainability. 2025, vol. 17, article 3051. DOI: 10.3390/su17073051.

7. Aquino E. D. R., Girao Sotomayor J. M., Navarro-Torres V. F. Qualification of geotechnical parameters with 3D geotechnical modelling to improve mine planning reliability. Mining Technology Transactions of the Institutions of Mining and Metallurgy. 2024, vol. 133, no. 1, pp. 74—85. 

8. Tyurin A., Kuvataev I. Improving the efficiency of a mining enterprise by coordinating production processes. E3S Web of Conference. 2020, vol. 174, article 01059. DOI: 10.1051/e3sconf/202017401059.

9. Glebov A. V. Determination of indicator values at the level of geotechnical quality assessment. News of the Tula state university. Sciences of Earth. 2021, no. 1, pp. 123—137. [In Russ].

10. Zinoviev V. V., Kuznetsov I. S., Nikolaev P. I., Kuznetsova A. V. Defining the degree of influence of unplanned downtimes on excavator-dump truck complexes operational performance. Bulletin of the Kuzbass State Technical University. 2024, no. 4(164), pp. 117—124. [In Russ]. DOI: 10.26730/1999-4125-2024-4-117-124, EDN: NVPYOD.

11. Khan A., Asad M. W. A., Topal E. A heuristic method for production scheduling of an open pit mining operation. International Journal of Mining, Reclamation and Environment. 2024, vol. 38, no. 4, pp. 293—305. DOI: 10.1080/17480930.2023.2281201.

12. Litvinenko V. S. Digital economy as a factor in the technological development of the mineral sector. Natural Resources Research. 2020, vol. 29, no. 3, pp. 1521—1541. DOI: 10.1007/s11053-019-09568-4.

13. Nepsha F. S., Krasilnikov M. I., Perevalov K. V. Application of a digital platform for building intelligent power supply management systems at mining enterprises. Automation and IT in Energy. 2021, no. 5, pp. 26—34. [In Russ].

14. Mariz J. L. V., Peroni R., de Abreu Silva R. M., Badiozamani M. M., Askari-Nasab H. A multi objective constraint programming approach to address clustering problems in mine planning. Engineering Computations. 2024, vol. 41, no. 3, pp. 2682—2706. DOI: 10.1108/EC-01-2024-0046.

15. Adilkhanova Zh. A., Boyandinova A. A. Concept of management system of technological processes at open pits. Proceedings of the 18th International Multidisciplinary Scientific GeoConference SGEM 2018. Albena, Bulgaria, 2018, pp. 191—196. DOI: 10.5593/sgem2018/1.3/S03.025.

16. Boyandinova A. A., Adilkhanova Zh. A., Tkachenko O. N. Methodical support for corporate operational planning of an excavator-truck-conveyor complex based on simulation modeling. MIAB. Mining Inf. Anal. Bull. 2025, no. 12-2, pp. 71—83. [In Russ]. DOI: 10.25018/0236_1493_2025_122_0_71.

17. Boyandinova A. A., Adilkhanova Zh. A. Methodological provisions for the evaluation of economic efficiency for calendar planning of technological processes taking into account flexible rationing. 19th International Multidisciplinary Scientific GeoConference SGEM 2019. 2019, vol. 19, pp. 415—422. DOI: 10.5593/sgem2019/1.3/S03.053.

18. Nevskaya M., Shabalova A., Kosovtseva T., Nikolaychuk L. Applications of simulation modeling in mining project risk management: criteria, algorithm, evaluation. Journal of Infrastructure, Policy and Development. 2024, vol. 8, no. 8, article 5375. DOI: 10.24294/jipd.v8i8.5375.

19. Nieto A., Medina J. F. Development of a socio-economic strategic risk index as an aid for the feasibility assessment of mining projects and operations. Journal of the Southern African Institute of Mining and Metallurgy. 2020, vol. 120, no. 7, pp. 433—450. DOI: 10.17159/2411-9717/711/2020.

20. Čech J., Sofranko M. Economic projection and evaluation of mining venture. E+M Ekonomie a Management. 2018, vol. 21, no. 2, pp. 38—52.