Improving the efficiency of track machine stations in BAM conditions
- Authors: Demyanovich I.V.1
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Affiliations:
- Far Eastern State Transport University
- Issue: Vol 10, No 2 (2024)
- Pages: 274-286
- Section: Original studies
- URL: https://bakhtiniada.ru/transj/article/view/259203
- DOI: https://doi.org/10.17816/transsyst626637
- ID: 259203
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Abstract
Background. The article examines the specifics of implementing a capital construction plan by the track engine station on the Baikal–Amur mainline (BAM) section. The scientific problem focuses on assessing the effective use of labor in the challenging conditions of the Far North. Special attention is paid to calculating the number of workers needed and the potential savings in operating costs. A key aspect is the study of increasing mechanization levels for manual tasks, such as dismantling wooden rail gratings.
Aim. The aim of this study is to provide an analytical assessment of the labor plan indicators for the track machine station operating in the BAM zone.
Methods. Data for this study were sourced from analytical reports on the activities of the travel company. The research employed traditional economic analysis methods and the techno-economic method of planning enterprise performance indicators.
Results. The study analyzed the dynamics of the number of track engine station employees during the period of increased railway construction in the BAM zone. It proposed options for increasing economic efficiency by reducing working time losses and optimizing technical processes.
Conclusion. The article offers recommendations for effectively utilizing labor resources, improving worker professionalism and minimizing staff turnover. Calculations demonstrate that innovative solutions to complex organizational and management problems can reduce operating costs.
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##article.viewOnOriginalSite##About the authors
Irina V. Demyanovich
Far Eastern State Transport University
Author for correspondence.
Email: irina18091@ya.ru
ORCID iD: 0000-0002-0686-709X
SPIN-code: 8077-6352
Associate Professor, Candidate of Economic Sciences
Russian Federation, KhabarovskReferences
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