Rational organization of the work of an electric vehicle maintenance station

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S. I. Cheberiachko, orcid.org/0000-0003-3281-7157, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

L. S. Koriashkina, orcid.org/0000-0001-6423-092X, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O. V. Deryugin, orcid.org/0000-0002-2456-7664, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

M. M. Odnovol, orcid.org/0000-0002-2022-7996, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article


Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2020, (5): 136-142



Purpose. Improvement of efficiency of organizing the work of an electric vehicle (EV) service station (SS) due to the rational distribution of its resources.

Methodology. System analysis of technological processes of diagnosing EVs depending on customer needs; mathematical modeling, operations research, combinatorial optimization.

Findings. An analysis of technological processes of diagnosing EVs is carried out. The information about the basic services provided by the electric vehicle service station is collected and systemized. For each of them it is established what processes constitute the service, their resources, how many of them operate and the duration of each operation. Mathematical models are built to organize the operation of an EV SS, which allow ensuring a uniform load of available resources and determining the time for the next service. A model problem to reserve resources to serve the largest number of clients is resolved. The proposed mathematical model is generic so that it can be used by any service enterprise that seeks to rationally distribute its resources while providing services to a large number of customers.

Originality. It has been found that the efficiency of a service station is increased by reducing the downtime of equipment or human resources, as well as by serving the largest number of customers who contacted a service company.

Practical value. A mathematical model is proposed that will allow, first, tracking the employment of resources; second, increasing the throughput by the rational usage of resources.


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Tags: electric vehicleservice stationdiagnosis processcombinatorial optimization

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