Rational organization of the work of an electric vehicle maintenance station

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Authors:

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

https://doi.org/10.33271/nvngu/2020-5/136

Abstract:

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.

References.

1. Hertzke, P., Müller, N., Schaufuss, P., Schenk, S., & Wu, T. (2019). Expanding Electric-Vehicle Adoption despite Early Growing Pains. McKinsey & Company. Retrieved from https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/expanding-electric-vehicle-adoption-despite-early-growing-pains.

2. Jin, L., & Slowik, P. (2017). Literature review of electric vehicle consumer awareness and outreach activities. International council on clean transportation. Retrieved from https://theicct.org/sites/default/files/publications/Consumer-EV-Awareness_ICCT_Working-Paper_23032017_vF.pdf.

3. Koriashkina, L. S., Deryugin, O. V., Fedoriachenko, S. O., Cheberiachko, S. I., & Vesela, M. A. (2019). On determining productive capacity of EV traction battery repair area. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (5), 113-121. https://doi.org/10.29202/nvngu/2019-5/17.

4. Auto 24 (2019). The most common causes of road accidents in Ukraine in 2019 are named. Retrieved from https://https://auto.24tv.ua/nazvano_naiposhyrenishi_prychyny_dtp_v_ukraini_v_2019_rotsi_n17019.

5. Sabraliev, N., Abzhapbarova, A., Nugymanova, G., Taran, I., & Zhanbirov, Zh. (2019). Modern aspects of modeling of transport routes in Kazakhstan. News of the National Academy of sciences of the Republic Kazakhstan. Series of Geology and technical sciences, 2(434), 62-68. https://doi.org/10.32014/2019.2518-170X.39.

6. Sładkowski, A., Utegenova, A., Kolga, A. D., Gavrishev, S.E., Stolpovskikh, I., & Taran, I. (2019). Improving the efficiency of using dump trucks under conditions of career at open mining works. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (2), 36-42. https://doi.org/10.29202/nvngu/2019-2/8.

7. Taran, I. A., & Klymenko, I. Y. (2014). Innovative mathematical tools for benchmarking transmissions of transport vehicles. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (3), 76-81.

8. Hu, J., Morais, H., Sousa, T., & Lind, M. (2016). Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects. Renewable and Sustainable Energy Reviews, 56, 1207-122. https://doi.org/10.1016/j.rser.2015.12.014.

9. Yan, Q., Zhang, B., & Kezunovic, M. (2019). Optimized Operational Cost Reduction for an EV Charging Station Integrated With Battery Energy Storage and PV Generation. IEEE Transactions on Smart Grid, 10(2), 2096-2106. https://doi.org/10.1109/TSG.2017.2788440.

10. Erdelić, T., & Carić, T. (2019). A Survey on the Electric Vehicle Routing Problem: Variants and Solution Approaches. Journal of Advanced Transportation, 2019, 1-48. https://doi.org/10.1155/2019/5075671.

11. Voloshin, D., & Afanasenko, I. (2019). Assessment of the efficiency of functioning of wagon repair enterprises. Transportation systems and technologies, 1(33), 78-85. https://doi.org/10.32703/2617-9040-2019-33-1-7.

12. Sheng, K. J., Baharudin, A. S., & Karkonasasi, K. (2016). A Car Breakdown Service Station Locator System. International Journal of Applied Engineering Research, 11(22), 11037-11040.

13. Adekunle, A. A., Ikubanni, P., & Olayinka, A. (2018). An Expert System for Automobile Repairs and Maintenance. Mindanao Journal of Science and Technology, 16(1), 41-56.

14. Averchenkov, V. I., Yakimov, A. I., Yakimov, E. A., & Ivkina, N. N. (2016). Optimization problem of control by simulation model formation in corporate information system. Bulletin of Bryansk State Technical University, 2(50), 207-214. https://doi.org/10.12737/20291.

15. Bolino, M. C., Kelemen, T. K., & Matthews, S. H. (2019). Working 9-to-5? A Review of Research on Nonstandard Work Schedules. Journal of Organizational Behavior, https://doi.org/10.1002/job.2440.

16. De Jonge, B., & Scarf, P. (2019). A review on maintenance optimization. European Journal of Operational Research, 285(3), 805-824. https://doi.org/10.1016/j.ejor.2019.09.047.

17. Tilley, S. (2019). System Analysis and Design. CENGAGE Learning Custom Publishing. ISBN-13: 978-0357117811.

18. Koriashkina, L. S., & Belyaev, O. R. (2019). Determination of the optimal number and location of charging stations for electric vehicles in the city. Computer Modeling: Analysis, Control, Optimization, 1, 23-29. https://doi.org/10.32434/2521-6406-2019-5-1-23-29.

19. Pinedo, M. L. (2016). Scheduling: Theory, Algorithms and Systems (5th ed.). Berlin: Springer. https://doi.org/10.1007/978-3-319-26580-31.

20. Georgiadis, G., Elekidis, A. P., & Georgiadis, M. C. (2019). Optimization-Based Scheduling for the Process Industries: From Theory to Real-Life Industrial Applications. Processes, 7(7), 438. https://doi.org/10.3390/pr7070438.

 

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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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