Improvement of the Analysis Methods of the Working Hours` Distribution of Locomotive Crews by the Types of Train Operation in Freight Traffic
Dnipro National University of Railway Transport named after Academician V. Lazaryan; Les Ulis: EDP Sciences-Web of conferences
ENG: Abstract. The work is aimed to increase the efficiency of cargo transportation by railway transport by improving the work organization of locomotive crews. The research is based on the methods of organization of operational work of railways and the methods of mathematical statistics. The problem of increasing the use efficiency of working hours of locomotive crews in freight traffic is considered in the article. Based on the statistical data processing of drivers' routes, the working hours` distribution of locomotive crews for different types of train operation in freight traffic for four locomotive depots was performed. During the research, a conditional division of the working time of locomotive crew by the type of work was performed, if the crew worked with trains of various categories. The algorithm for assigning the idle time and empty running of locomotive to certain types of train operation was also developed. The work originality lies in the fact that it improves the methods of analysis of the working hours` distribution of locomotive crews for certain types of train operation in freight traffic. The developed methods give an opportunity to evaluate the work specifics of individual locomotive depots and provide the initial data for planning the use of locomotives and the work and rest schedule of locomotive crews.
D. Kozachenko: ORCID 0000-0003-2611-1350; M. Berezovyi: ORCID 0000-0001-6774-6737; V. Malashkin: ORCID 0000-0002-5650-1571; T. Bolvanovska: ORCID 0000-0001-6462-8524
locomotive crews, types of train, freight traffic, КУЕР, КТВ, ЛКТІ
Improvement of the Analysis Methods of the Working Hours` Distribution of Locomotive Crews by the Types of Train Operation in Freight Traffic [Electronic resource] / Dmytro Kozachenko, Mykola Berezovyi, Vyacheslav Malashkin, Tetiana Bolvanovska, Yurii Grimak // MATEC Web of Conferences. – 2019. – Vol. 294 : 2nd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2019), Lviv, Ukraine, September 19-20, 2019. – 04011. – DOI: 10.1051/matecconf/201929404011.