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

Evgeniy Kozin ()
Additional contact information
Evgeniy Kozin: Industrial University of Tyumen

A chapter in Digital Transformation in Industry, 2023, pp 239-252 from Springer

Abstract: 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.

Keywords: Digital twin; Transport enterprise; Simulation model; Fleet of vehicles (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-30351-7_19

Ordering information: This item can be ordered from
http://www.springer.com/9783031303517

DOI: 10.1007/978-3-031-30351-7_19

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().