Modelling As Transport Service Quality And Efficiency Increase

Abstract

The most important contribution to the solution of the main tasks of the country's economic and social development is made by the successful operation of the transport infrastructure. The transport system provides conditions for economic growth, increasing national economy competitiveness and life quality of population. Transport organizations need to continually improve their operations in order to remain competitive. This requires the development of new technologies and methods for doing business, improving the quality of activities and introducing new, modern, effective methods of managing and organizing the activities of enterprises. Business process modeling makes it possible to understand the work and analyze the organization, as well as improve the quality and efficiency of the transport organization. The article discusses different ways aimed at improvement of efficiency and quality of transport organizations. The types of modeling used at transport enterprises are disclosed. Methods for business process modeling in transport organizations are presented. The recommendations of Russian Railways JSC are given in terms of improving the quality and efficiency for the following activities: freight services, freight and commercial services, maintenance of material base, infrastructure services, its maintenance and repair, services for the provision of freight cars, and their maintenance, services for the provision of locomotives and their maintenance and services for the repair of rolling stock. The authors have proposed an algorithm for assessing the efficiency of production processes in railway transport using the example of freight services.

Methodological and Technical Aspects of Models for Digital Management of Transport Systems

“…All obtained data can also play a great role in decision making. Implementation of the digital management is very feasible and necessary [5], [2], [6].…”

“…There are four main sources of basic transport data: design information, facilities collected, manual collected and network collected data [2].…”

“…In order to give full play to the value of transport infrastructure data, three goals for digital management of transportation infrastructure are discussed: network-level, full life cycle and multi-source information fusion management. The new challenges brought by the digital management of transport infrastructure in the era of big data are analysed [2], [3].…”