This article raises the issue of optimizing the distribution of routes for the fleet of enterprises. It is realized through the formation of mathematical models with which you can distribute rolling stock depending on its conditions. The linear programming method is chosen to solve the problem. There are examples of two enterprises, such as IDGC of Urals, PSC and Proton-PM PC in the article. The optimization task, using the example of the transport division of the Department of Mechanization and Transport (DMaT) at the company IDGC of the Urals, Permenergo, is to distribute the routes of vehicles with the Common Rail (CR) fuel supply system from eight production sites to service sites. As the objective function, the sum of the cost of transportation and the average cost of maintenance are determined. The optimization task using the example of the enterprise Proton-PM PJSC is to organize transportation of 1.5—2 thousand employees to the place of work from Perm and back. The most acceptable option for the transportation of employees was determined in terms of cost, which implies updating the fleet (buses) of the workshop and the minimum cost of their operation using a mathematical model. It is proved that mathematical models are an effective mechanism in cost optimization when solving problems in the transport industry.
Management of transport and technological flows in large transport organizations by solving linear programming problems
PROCEEDINGS OF THE SCIENTIFIC CONFERENCE ON RAILWAY TRANSPORT AND ENGINEERING (RTE 2021) ; 2021 ; Perm, Russian Federation
AIP Conference Proceedings ; 2389 , 1
23.09.2021
7 pages
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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