Article Title
Improving the operation of non-public ways through the use of modern information management systems
Article reference
Popova I. M. , Karnakova V. V.
Improving the operation of non-public ways through the use of modern information management systems Izvestiia Transsiba – The Trans-Siberian Bulletin,
2025, no. 1(61), pp. 49 – 59.
Abstract
The article discusses the urgent problem of upgrading non-public railway tracks through the introduction of automated loading and unloading control systems. The relevance of the study is due to the significant proportion of non-public tracks in the Russian railway infrastructure (29 % of the total length) and their constant increase, the growing volume of industrial production in the country and the need to improve the efficiency of transport services for enterprises and improve the efficiency of their use. More than 85 % of all freight traffic by rail starts and ends on non-public roads. The correctness of the service, organization and technology of the operation of the considered routes affects the operation of the entire transport network. The problem of the study lies in the fact that traditionally accepted methods of loading and unloading operations on non-public tracks do not provide the necessary efficiency of the transportation process, which leads to long downtime of rolling stock and increased operating costs for railway transport. The methods of system analysis, mathematical modeling and comparative analysis of statistical data are used in the work. Based on a study of international experience and domestic practice, it has been shown that the introduction of automated control systems can reduce the downtime of wagons by 25 - 30 % and reduce operating costs by 15 - 20 %. The article presents the definition of an automated loading and unloading management system as an integrated information management system that integrates hardware and software. A step-by-step methodology for system implementation has been developed, including seven consecutive stages from preliminary analysis to optimization and development. The proposed solutions take into account the specifics of Russian operating conditions and import substitution requirements.