At present, shift work is evaluated from the carriers’ perspective as employers. Therefore, the purpose of the article is to outline the characteristics of an innovative software application that would enable human resource managers to take railway workers’ satisfaction or the difficulty of a job into account when creating shift plans. This article includes an overview of the prevailing methods of handling railway shift worker scheduling and a list and description of the empirical methods for creating shifts. Next, the consideration given to the interests and preferences of employees regarding shift types is described. We then outline possible changes, especially changes utilizing mathematical formulas. These patterns and considerations are verified through actual shifts and questionnaires distributed to a select group of employees. An actual shift of conductors at the Czech national carrier České dráhy is chosen for the case study. Finally, a proposal of a software system that takes employee preferences into account and permits the scheduling of blocks of free days is described. From the development point of view, the aim of this software is to achieve maximum satisfaction after subjective requirements are considered, thus ensuring, from the human resource management perspective, a higher degree of railway employees’ satisfaction, leading to better quality services and improved rail transport.
The paper deals with the implementation of a modified FMEA methodology according to the EU Commission Regulation no. 402/13 on a common safety method for risk assessment and evaluation in the railway sector. The basic goal is to create a methodology for risk identification regarding the safety of services in railway transport concerning railway crossings. Reason for this research was the fact that the manager of the railway infrastructure in Slovakia has problems related to accidents at railway crossings including problems with the quality of services when trains are delayed. Based on previous research, this area has been defined as a priority for risk identification. Accidents at level crossings are often the result of complex interactions between several factors. The results of the authors’ long-term research bring direct impact on the safety and quality of rail transport services. The first effect of the research is a detailed investigation of the causes of accidents, on which the new methodology is based. This is important because understanding the causes of accidents is the first step in eliminating them. The proposed new framework of the methodology provides guidance to the railway infrastructure manager on how to identify, analyze, evaluate and eliminate the risks of their effects.
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