Service maintenance and repair of passenger cars in the concept of Digital Enterprise

Abstract

The passenger rolling stock has a number of specific technical characteristics based on original design and technological solutions. The consequences of the passenger rolling stock failure cause unplanned downtime, resulting in: reduced productivity, traffic safety and quality of service, as well as financial losses. Determination of cost-effective maintenance and repair becomes one of the key tasks in the operation of passenger rolling stock. At present the tools for planning maintenance and repair of passenger rolling stock are static. They do not take into account dynamic information during the life cycle of the rolling stock. The planning tools are mainly a copy of the maintenance and repair organization manual. This article deals with the digital model of maintenance and repair of passenger rolling stock as a transformation of strategy from diagnostic to predictive. The modeling serves as a fundamental starting point in managing the life cycle of passenger rolling stock. The theory of passenger rolling stock life cycle is complemented by the theory of management, creating a model of service maintenance and repair. The digital model covers the life cycle of the passenger rolling stock from initial planning to a multitude of solutions, such as: separation in the mechanism of financing, service operator selection, definition of key performance indicators for the operator, setting fees, maximum profit, providing access to all operators of railway services. At the conceptual level, the fundamental aspects of the digital service model have been developed to forecast future events and make optimal plans, taking into account the multivariate and structural heterogeneity of data in the virtual networks. The modeling approach oriented to the global description of the business process and distributed management of service maintenance and repair is considered.