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Digital Model of a Transport Enterprise: The Role of Intensity and Operating Conditions of Vehicles

In: Digital Transformation in Industry

Author

Listed:
  • Evgeniy Kozin

    (Industrial University of Tyumen)

Abstract

This paper presents a digital simulation model of a motor transport enterprise, which is part of a decision support system for enterprise management. The model is built using the Python programming language and implements the concept of a digital twin of a transport enterprise. The model is based on the principle of a queuing system and allows to simulate changes in the technical condition of the vehicle fleet, simulate maintenance and repair of vehicles, carry out resource planning for vehicles, and manage the age structure of the fleet. With the help of the developed model, it is possible to search for solutions for the development of an enterprise within the framework of solving a step-by-step inverse problem of multicriteria optimization of mathematical programming. The user of the system enters the performance indicators of the enterprise and has the opportunity to evaluate the possible parameters of the enterprise when one or more target indicators change. The result of the system operation is a list of recommended values of indicators, following which will allow achieving the goal set by the user related to achieving economic benefits or reducing the costs of the operation of the enterprise. The program is intended for managers and engineering and technical workers of vehicle service enterprises for forecasting activities, forming business plans, or an enterprise development strategy.

Suggested Citation

  • Evgeniy Kozin, 2023. "Digital Model of a Transport Enterprise: The Role of Intensity and Operating Conditions of Vehicles," Lecture Notes in Information Systems and Organization, in: Vikas Kumar & Grigorios L. Kyriakopoulos & Victoria Akberdina & Evgeny Kuzmin (ed.), Digital Transformation in Industry, pages 239-252, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-30351-7_19
    DOI: 10.1007/978-3-031-30351-7_19
    as

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