OPTIMIZATION AND STATE FORECASTING IN TRANSPORTATION SYSTEMS

Optimization of transport work is necessary in case of uncontrollable growth of the described costs. The process of optimizing transport costs at the enterprise begins with an analysis of the current logistics strategy and collection of recommendations for its correction. The following aspects of th...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:International journal of advanced studies Ročník 12; číslo 3; s. 109 - 124
Hlavní autoři: Lvovich, Yakov Ye, Preobrazhenskiy, Andrey P., Avetisyan, Tatiana V.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Science and Innovation Center Publishing House 30.09.2022
Témata:
ISSN:2328-1391, 2227-930X
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Optimization of transport work is necessary in case of uncontrollable growth of the described costs. The process of optimizing transport costs at the enterprise begins with an analysis of the current logistics strategy and collection of recommendations for its correction. The following aspects of the transport system of the company are subject to analysis: the method of movement of goods; the choice of vehicle type and its specific model; the selection of the carrier company and other logistics intermediaries; the layout of the company’s storage terminals. An optimized transport system can reduce the cost of production and sales of products and increase staff efficiency. There are three main directions in which innovations will ensure the reduction of costs for cargo and passenger transportation: the choice of optimal vehicles, the selection of optimally located unloading and loading points, the analysis of the feasibility of own fleet of vehicles. The paper considers the possibilities of transport system management under the condition of external influences. An illustration of the algorithm scheme of solving the optimization problem related to the choice of initial actions is given. The possibility of using prognostic models is shown. The approaches proposed in the work can be useful in improving the performance of various transportation systems.
ISSN:2328-1391
2227-930X
DOI:10.12731/2227-930X-2022-12-3-109-124