Resource optimization in management of technical maintenance of~automation and remote control systems

A. V. Gorelik ; A. V. Orlov ; D. V. Speranskiy

Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, Tome 21 (2021) no. 3, pp. 379-389.

Résumé

The article considers the topical problem of resource optimization during the maintenance process of technical systems. In order to illustrate the methodology (URRAN) developed by Russian Railways JSC to solve this problem, automation and remote control systems are used as an example. Due to a total lack of resources and the infinite needs, the company faced the challenge of improving the efficiency of maintenance and repair of railway automation and remote control systems. The main difficulties in solving this problem in the context of limited financial resources are also associated with their sometimes irrational allocation and insufficient quality of technical maintenance of the automation and remote control infrastructure. The current approaches to resource management are not always effective. To improve the efficiency of resource and risk management and analysis of the reliability of transport infrastructure facilities, the methodology URRAN, that minimizes costs of the life cycle of devices and systems, has been developed. Such minimization can be achieved through the accurate mathematical formulation of optimization problems, the development of methods for their solution and the creation of appropriate software modules. The article formulates a number of optimization problems, the solution of which will improve the functioning of the automation and remote control facilities. In addition, the possible approaches for the effective solution of the formulated problems are proposed.

Bibliographie

[1] Shipunov V. G., The Management Fundamentals, Vysshaya shkola, M., 2001, 327 pp. (in Russian)

[2] Novikov D. A., The Management Methodology, Librokom, M., 2011, 128 pp. (in Russian)

[3] Gribov V. D., Kislyakov G. V., The Management Fundamentals, Textbook and workshop for SPO, Yurait, M., 2018, 335 pp. (in Russian)

[4] Pomenkov D. M., “Digital transformation of automation and telemechanics industry service”, Automation, Communication and Informatics, 2019, no. 4, 12–14 (in Russian)

[5] Dolgov M. V., Moskvina E. A., Taradin N. A., “Automation of an estimation of activity of automation and telemechanics industry service divisions”, Automation, Communication and Informatics, 2018, no. 46, 2–5 (in Russian)

[6] Zarembski A. M., “Rolling with Big Data”, Railway Age, 2018, no. 6, 43–44; 46–47

[7] Haertel R., Schierhorn D., Jakob Ch., “Einsatz von Smart Data Services in Stellwerken = The application of Smart Data Services in interlocking systems”, Signal + Draht, 2018, no. 4, 57–64 (in Germany and English)

[8] Schumann M., “From “Big Data” to “Smart Data” — the next generation of condition-based maintenance”, ZEVrail, 141, Edition special issue Graz 2017 (2017), 162–165 (in Germany)

[9] Erg A. E., Gorelik A. V., Soldatov D. V., Orlov A. V., “Methodology of risk management in the field of automation and telemechanics”, Automation, Communication and Informatics, 2017, no. 7, 2–6 (in Russian)

[10] Anoshkin V. V., Gorelik A. V., Pomenkov D. M., Smagin S. B., “Implementation of the URRAN methodology in the field of automation and telemechanics”, Automation, Communication and Informatics, 2017, no. 6, 2–6 (in Russian)

[11] Anoshkin V. V., Gorelik A. V., Orlov A. V., Taradin N. A., Veselova A. S., “The principles of quality management infrastructure in the sector of automation and telemechanics zheleznodorozhny transport”, Railway Transport, 2018, no. 9, 55–61 (in Russian)

[12] Lazutin Yu. D., Quality of the Life Cycle of Industrial Products, Izd-vo MGTU im. N. E. Baumana, M., 2016, 216 pp. (in Russian)

[13] Okino N., Tamura H., Fujii S., Advances in Production Management Systems: Perspectives and Future Challenges, Springer Science Business Media, B.V., 1998, 482 pp.

[14] Saaty T. L., Busacker R. G., Finite Graphs and Networks: An Introduction with Applications, McGraw-Hill Book Company, New York, 1965, 308 pp. | Zbl

[15] Harary F., Graph Theory, Addison-Wesley Publishing Company, Boston, 1969, 274 pp. | Zbl

[16] Christofides N., Graph Theory. An Algorithmic Approach, Academic Press, New York, 1975, 397 pp. | Zbl

[17] Minieka E., Optimization Algorithms for Network and Graph, Marcel Dekker Inc, New York, 1978, 300 pp.

[18] Skobtsov Yu. A., Speranskiy D. V., Evolutionary Computing, INTUIT, M., 2015, 326 pp. (in Russian)

[19] Gladkov L. A., Kureychik V. V., Kureychik V. M., Genetic Algorithms, Fizmatlit, M., 2006, 320 pp. (in Russian)

[20] Gorelik V. Y., Gorelik A. V., Shalyagin D. V., “Assessment of operational risks of electric interlocking systems”, Russian Electrical Engineering, 89:9 (2018), 550–554 | DOI

[21] Paliy I. A., Linear Programming, Eksmo, M., 2008, 256 pp. (in Russian)