Russian Federation
Russian Federation
Russian Federation
Russian Federation
Russian Federation
The rapid development of e-commerce and, consequently, the increasing demands and expectations of customers require transport and logistics companies to apply improved methods of managing their activities. The article discusses methods to improve the monitoring system and rating evaluation of the logistics company’s branches on the actual tonnage of loading during the reporting period. The authors propose to establish a boundary value for % of plan fulfillment when calculating rating scores on the basis of statistical methods — the calculation of the confidence interval based on historical data, which will allow to take into account statistically justified deviation of actual results from the planned ones. In addition, the authors propose to evaluate the loading indicator as an integral — to use several indicators for assessing the effectiveness of loading that most accurately and fully reflect the performance of branches. This will allow to take into account not just the implementation of the plan by the branch, but also its achievements in comparison with the same period last year. The conclusion is made about the need to distinguish the reasons for the failure to implement the plan depending on the operating activities of branches and those depending on external factors, which are not related to the operating activities of branches.
logistics company, monitoring system, rating evaluation, performance assessment, rating, method of rating evaluation
1. Sezer S. The impact of logistics industry on economic growth: An application in OECD countries / S. Sezer et al. // Eurasian Journal of Social Sciences. - 2017. - Vol. 5. - Iss. 1. - Pp. 11-23.
2. Nosov A. L. Logistika v sisteme ekonomicheskoy bezopasnosti Rossii / A. L. Nosov // Innovacionnoe razvitie ekonomiki. - 2019. - № 5-2(53). - S. 228-232.
3. Abidov M. H. Perspektivy razvitiya logistiki v usloviyah cifrovizacii / M. H. Abidov, F. N. Ismailova // UEPS: upravlenie, ekonomika, politika, sociologiya. - 2021. - № 1. - S. 20-26.
4. Panayides P. M. The relative efficiency of shipping companies / P. M. Panayides, N. Lambertides, C. S. Savva // Transportation Research Part E: Logistics and Transportation Review. - 2011. - Vol. 47. - Iss. 5. - Pp. 681-694.
5. Ryzhenkov A. V. Formirovanie reytingovoy ocenki filial'noy seti logisticheskoy kompanii na osnove sistemy klyuchevyh pokazateley effektivnosti / A. V. Ryzhenkov, A. A. Hludnev, V. V. Sotov // Logistika i upravlenie cepyami postavok. - 2018. - № 2. - S. 46-51.
6. Shkurina L. V. Sovershenstvovanie metodov formirovaniya reytingovoy ocenki strukturnyh podrazdeleniy zheleznodorozhnogo transporta / L. V. Shkurina, E. N. Evdokimova, S. S. Mineeva i dr. // Ekonomicheskie otnosheniya. - 2019. - T. 9. - № 3. - S. 2117-2128. - DOI:https://doi.org/10.18334/eo.9.3.40907.
7. Belyaeva T. V. Pokazateli ekonomicheskoy deyatel'nosti regional'nyh filialov transportnoy kompanii / T. V. Belyaeva, Yu. M. Buinceva // Ekonomika zheleznyh dorog. - 2021. - № 2. - S. 24-33.
8. Swindiarto V. T. P. Integration of fuzzy C-means clustering and TOPSIS (FCM-TOPSIS) with silhouette analysis for multi criteria parameter data / V. T. P. Swindiarto, R. Sarno, D. C. R. Novitasari // 2018 International Seminar on Application for Technology of Information and Communication. - IEEE, 2018. - S. 463-468.
9. Klyushnikova E. V. Metodicheskie podhody k raschetu integral'nogo pokazatelya, metody ranzhirovaniya / E. V. Klyushnikova, E. M. Shitova // InnoCentr. - 2016. - № 1. - S. 4-18.
10. Pokrovskaya O. Methods of rating assessment for terminal and logistics complexes / O. Pokrovskaya, R. Fedorenko // VIII International Scientific Siberian Transport Forum: TransSiberia 2019. - Springer International Publishing, 2020. - Vol. 2. - Pp. 950-959.
11. Efimova O. V. Tools of Analysis in Performance Management in a Large Transport Company / O. V. Efimova, E. B. Baboshin, N. D. Avilova // IOP Conference Series: Earth and Environmental Science. - IOP Publishing, 2021. - Vol. 666. - Iss. 6. - P. 062102.
12. Kurnosova O. A. Model' vybora potencial'nyh autsorserov logisticheskih uslug promyshlennyh predpriyatiy / O. A. Kurnosova // Vesti Avtomobil'no-dorozhnogo instituta. - 2020. - № 3(34). - S. 204-214.
13. Acur N. Assessment of strategy formulation: how to ensure quality in process and outcome / N. Acur, L. Englyst // International journal of operations & production management. - 2006. - Vol. 26. - Iss. 1. - Pp. 69-91.
