Efficiency of transport processes in supply chain and its investment attractiveness

  • Svitlana KOZAK Doctor of Economics, Associate Professor of the departament of transport technologies and technical servise National University of Water Management and Nature Management http://orcid.org/0009-0006-3204-1861
  • Valery SOROKA candidate of agricultural sciences, associate professor of the department of transport technologies and technical service, National University of Water Management and Nature Management http://orcid.org/0000-0002-8994-2680

Abstract

The common characteristics of the supply chains efficiency are a high level of economic efficiency and the necessary levels of stability and quality of the all processes operation in it, including the transportation efficiency. When the transport processes in the supply chains is evaluated it is necessary to consider the indicators which are critical to maintain the required service level and most fully characterize the results of the executed work from the consumer's point of view. The most important factors in this meaning are the transportation time, the transportation cost and productivity.

The basic methodological approaches of the assessing supply chain operation efficiency has been reviewed in this article. The improvement of the mathematical models of the production transport indicators impact assessment on the transport costs size in the supply chains have been done. A methodological approach that allows to link the components of the inventory management efficiency in the supply chains with the transport process efficiency has been developed. The main factors which have influence on the transportation duration have been taken into account.

Key words: efficiency, supply chain, productivity, cost, transport process, inventory management, time.

Published
2023-11-28
How to Cite
KOZAK, S., & SOROKA, V. (2023). Efficiency of transport processes in supply chain and its investment attractiveness. ADVANCES IN MECHANICAL ENGINEERING AND TRANSPORT, 2(21), 116-121. https://doi.org/10.36910/automash.v2i21.1216