The development of methods to improve performance of the logistics chain within the transport and logistics cluster

Authors

  • Евгений Семенович Алешинский Ukrainian State University of Railway Transport, Sq. Feuerbach, 7, Kharkiv, Ukraine, 61001, Ukraine https://orcid.org/0000-0001-9304-7198
  • Василий Владимирович Мещеряков Ukrainian State University of Railway Transport, Sq. Feuerbach, 7, Kharkiv, Ukraine, 61001, Ukraine https://orcid.org/0000-0003-3339-2103
  • Анна Сергеевна Руденко Ukrainian State University of Railway Transport, Sq. Feuerbach, 7, Kharkiv, Ukraine, 61001, Ukraine

DOI:

https://doi.org/10.15587/2312-8372.2016.80733

Keywords:

transport and logistics cluster, transportation process, cargo owner, reliability, process chain, cluster approach

Abstract

The problems are irreversibly occurred during the transportation process. It is lead to loss of quantity, quality of the cargo and increase of the transportation time, so that the cargo «hangs» in the turnaround. The main disadvantage is the quality performance of the transport services - quantitative characteristic of one or more consumer properties of services that make up its quality. Transportation quality is measured at the aggregate of characteristics that determine their suitability to meet the needs of consignors and consignees in the corresponding transportations. This disadvantage is associated with low functional performance of transport, such as maneuverability, low speed, ease of reception and delivery of the cargo, closure of the service system, adaptability to customer requirements.

The research is focused on the development of measures to improve performance during the transportation process. A process chain analysis on the basis of risk analysis is applied in order to develop these activities. At the same time, a reliable criterion based on the functional parameters of the object is proposed to reduce the risks of action on the logistics chain. Its essence lies in the fact that the criterion shows the degree of reliability of the transport company, thus creating potential and information to determine transportation priorities (quantity / quality).

This method can be used to create a database for characteristics of the transport company.

Author Biographies

Евгений Семенович Алешинский, Ukrainian State University of Railway Transport, Sq. Feuerbach, 7, Kharkiv, Ukraine, 61001

Doctor of Technical Sciences, Professor

Department of Transport System and Logistic

Василий Владимирович Мещеряков, Ukrainian State University of Railway Transport, Sq. Feuerbach, 7, Kharkiv, Ukraine, 61001

Postgraduate

Department of Transport System and Logistic

Анна Сергеевна Руденко, Ukrainian State University of Railway Transport, Sq. Feuerbach, 7, Kharkiv, Ukraine, 61001

Department of Transport System and Logistic

References

  1. Draft Law of Ukraine «On Railway Transport of Ukraine». (2015, May 29). Ministry of Infrastructure of Ukraine. Available: http://mtu.gov.ua/news/200.html?PrintVersion
  2. Waters, D. (2003). Logistics: An Introduction to Supply Chain Management. Palgrave Macmillan, 364.
  3. Alechinsky, E., Meshcheryakov, V., Lapushkin, I., Riabovol, E. (2013). Increasing of rail transport competitiveness by forming transportation and logistics clusters. Eastern-European Journal Of Enterprise Technologies, 5(3(65)), 39–45. Available: http://journals.uran.ua/eejet/article/view/18500
  4. Kuei, C. (2002, September). Supply Chain – Logistics Management20021Bowersox, D.J., Closs, D.J. and Cooper, M.B..Supply Chain – Logistics Management. Irwin/McGraw‐Hill, 2002. 656 pp., ISBN: ISBN 0‐07‐235100‐4. International Journal of Quality & Reliability Management, Vol. 19, № 6, 802–803. doi:10.1108/ijqrm.2002.19.6.802.1
  5. Porter, M. E. (1998). On Competition. Harvard Business School Press, 485.
  6. Hanne, T., Dornberger, R. (2016, July 28). Introduction to Logistics and Supply Chain Management. Computational Intelligence in Logistics and Supply Chain Management. Springer Nature, 1–12. doi:10.1007/978-3-319-40722-7_1
  7. Elova, I. A., Ovsiuk, A. A., Yasinskii, V. V. (2007). Formirovanie transportno-logisticheskoi sistemy Respubliki Belarus. Gomel: Bel. GUT, 155.
  8. Tsenina, E. V., Korobeinikov, Yu. V. (2014). Riski v logistike snabzheniia (na primere kompanii, rabotaiushchih na rossiiskom rynke). Izvestiia Sankt-Peterburgskogo gosudarstvennogo ekonomicheskogo universiteta, 2 (86). Available: http://cyberleninka.ru/article/n/riski-v-logistike-snabzheniya-na-primere-kompaniy-rabotayuschih-na-rossiyskom-rynke
  9. Fedotova, L. (2011, September 12). Otsenka riskov v prohozhdenii tovarov po logisticheskoi tsepochke. Logistika. Available: http://customsexpert.ru/articles/otsenka-riskov-v-prohozhde.htm
  10. Lushnikova, M. A. (2013, December). Analiz logisticheskih riskov na primere predpriiatiia OOO Liask-T. SCI-ARTICLE, 4. Available: http://sci-article.ru/stat.php?i=analiz_logisticheskih_riskov_na_primere_predpriyatiya_ooo_liask-t
  11. Upravlenie logisticheskimi riskami v tsepiah postavok. (2013). Diplomba. St. Petersburg. Available: http://diplomba.ru/work/16389
  12. Bocharnikov, V. P. (2000). Prognoznye kommercheskie raschety i analiz riskov. Kyiv, 159.
  13. Panteleev, A. V., Letova, T. A. (2008). Metody optimizatsii v primerah i zadachah. Moscow: Vysshaia shkola, 544.
  14. Krushevskyi, A. V., Barkov, E. V., Poddubnyi, A. R. (1973). Ekonomiko-matematicheskie modeli v planirovanii i upravlenii narodnym hoziaistvom. Kyiv: Vishcha shkola, 310.
  15. Anikin, B. A. (1997). Logistika. Moscow: INFRA-M, 327.
  16. In: Mirotin, L. B. (2004). Effektivnost' logisticheskogo upravleniia. Moscow: Ekzamen, 448.
  17. Naumov, V. S. (2012). Raspredelenie sinergeticheskogo effekta mezhdu subiektami rynka transportnyh uslug. Transportni systemy ta tekhnolohii perevezen, Vol. 4, 85–88.

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Published

2016-09-29

How to Cite

Алешинский, Е. С., Мещеряков, В. В., & Руденко, А. С. (2016). The development of methods to improve performance of the logistics chain within the transport and logistics cluster. Technology Audit and Production Reserves, 5(2(31), 48–52. https://doi.org/10.15587/2312-8372.2016.80733

Issue

Vol. 5 No. 2(31) (2016): Systems and control processes. Information and control systems. Technology Transfer in the Transport Industry

Section

Technology Transfer in the Transport Industry

License

Copyright (c) 2016 Евгений Семенович Алешинский, Василий Владимирович Мещеряков, Анна Сергеевна Руденко

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