Planning the Demand for the Transport Infrastructure of the Industrial Logistics Operator (Case of JSC RT-Logistics)

This paper is dedicated to the development of the planning system for demand in transport infrastructure for the industrial logistics operator JSK «RT-Logistics». In pursuit of this objective there has been conducted the analysis of the economic activity of the selected company, which includes the review of the organizational structure, competitive position, economic-financial position, logistics activity, obtained IT-infrastructure and the search for the problematic business processes so as to determine the dysfunctions to be reengineered in the field of the logistics activity planning. Apart from the analysis of the activity of the selected industrial logistics operator, there have been reviewed the theoretical approaches to logistics activity planning in companies supported with the thorough research of the real case-studies, approaches to the implementation of the forecast procedures, mathematical basis and functioning mechanisms of some forecast tools and there have been conducted the comparative analysis of them in order to make the final choice of the right combination of the reviewed elements deployed for the formation of the future individual planning system most suitable for the focal enterprise. The result of the conducted research is the developed planning system for demand in transport infrastructure that has been built with the platform for managing databases «DBeaver» and programming platform «RStudio» sided with the prepared code in the programming language «R». The high extent of the economy in the deployed human, financial and time resources is intrinsic for this developed planning system, which can be proven by formulated economic justification in the form of economic effect proposed by the introduction of this solution for the selected industrial logistics operator. The economic justification is based on the clients’ real transport applications that were captured by the information system during the specific period of time.