Devising a method for assessing the efficiency in managing logistics operations of motor transport enterprises

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.317567

Keywords:

logistics activity, motor transport companies, artificial neural networks, swarm algorithms

Abstract

The object of this study is the logistics operations of a motor transport company. The task addressed is to improve the effectiveness of assessing the state of efficiency in managing logistics activities of motor vehicle enterprises, regardless of the level of hierarchy of the motor vehicle enterprise. Underlying the research is the game chaos algorithm (GCA) applied for assessing the state of efficiency in managing the logistics operations of motor transport enterprises. Evolving artificial neural networks are used to train GCA.

A comprehensive model for assessing the effectiveness of the operation of logistics activities of motor transport enterprises was built.

The model is proposed to be used in the operational management of logistics activities of motor transport enterprises. In addition, the model built allows for the following:

− assessing possible risks of disrupting the task of providing goods and services in organizations and organizational networks;

− determining the influence of performance evaluation indicators of the logistic support system in organizations and organizational networks on each other;

– establishing the influence of a group of indicators for evaluating the effectiveness of logistics support in organizations and organizational networks on a separate indicator.

The study also proposes a method for evaluating the effectiveness of managing logistics activities of motor transport enterprises. The originality of the method is that it makes it possible to avoid hitting the global and local optimum due to additional improved procedures based on the use of game chaos theory.

The simulation results showed an increase in the effectiveness of assessing the operational efficiency of the management of logistics activities of motor transport enterprises at the level of 14–16 % due to the use of additional improved procedures

Author Biographies

Tatiana Vorkut, National Transport University

Doctor of Technical Sciences Professor

Department of Transport Law and Logistics

Lyudmila Volynets, National Transport University

PhD, Professor

Department of Transport Law and Logistics

References

  1. Petrenko, S. A. (2010). Porivnialnyi analiz modelei orhanizatsiynykh struktur pidpryiemstva. Biuleten Mizhnarodnoho Nobelivskoho ekonomichnoho forumu, 2 (1 (3)), 245–254.
  2. Kernychniy, B., Radynskiy, S. (2020). Methodical tools for evaluating the effectiveness of transport and logistics services management of an industrial enterprise. Innovative Solution in Modern Science, 7 (43), 169. https://doi.org/10.26886/2414-634x.7(43)2020.11
  3. Marunych, V. S., Shpylovyi, I. F., Kharuta, V. S., Lushchai, Yu. V. (2018). Investigating into route taxi transportation: realities and vision. World Science, 1 (1 (29)), 27–34.
  4. Vorkut, T. A., Lushchai, Yu. V., Kharuta, V. (2021). Conceptual model of precedent formation of a portfolio of logistics service providers in logistics outsourcing projects. World Science, 5 (66). https://doi.org/10.31435/rsglobal_ws/30052021/7586
  5. Gontareva, I., Babenko, V., Shmatko, N., Litvinov, O., Obruch, H. (2020). The Model of Network Consulting Communication at the Early Stages of Entrepreneurship. Wseas Transactions on Environment and Development, 16, 390–396. https://doi.org/10.37394/232015.2020.16.39
  6. Derbentsev, V., Babenko, V., Khrustalev, K., Obruch, H., Khrustalova, S. (2021). Comparative Performance of Machine Learning Ensemble Algorithms for Forecasting Cryptocurrency Prices. International Journal of Engineering, 34 (1), 140–148. https://doi.org/10.5829/ije.2021.34.01a.16
  7. Dykan, V., Kirdina, O., Ovchynnikova, V., Kalicheva, N., Obruch, H. (2021). Public Management of Railway Transport Development based on the Principles of a Systematic Approach. Scientific Horizons, 24 (8), 98–107. https://doi.org/10.48077/scihor.24(8).2021.98-107
  8. Vorkut, T. A., Petunin, A. V., Tretynychenko, Yu. O. (2017). Systemni aspekty portfelnoho upravlinnia v transportnykh i lohistychnykh orhanizatsiynykh strukturakh. Systemy i środki transportu samochodowego. Efektywność I bezpieczenstwo. Wybrane zagadnienia. Seria: TRANSPORT. Rzezćw, 109–111.
  9. Pérez-González, C. J., Colebrook, M., Roda-García, J. L., Rosa-Remedios, C. B. (2019). Developing a data analytics platform to support decision making in emergency and security management. Expert Systems with Applications, 120, 167–184. https://doi.org/10.1016/j.eswa.2018.11.023
  10. Chen, H. (2018). Evaluation of Personalized Service Level for Library Information Management Based on Fuzzy Analytic Hierarchy Process. Procedia Computer Science, 131, 952–958. https://doi.org/10.1016/j.procs.2018.04.233
  11. Chan, H. K., Sun, X., Chung, S.-H. (2019). When should fuzzy analytic hierarchy process be used instead of analytic hierarchy process? Decision Support Systems, 125, 113114. https://doi.org/10.1016/j.dss.2019.113114
  12. Osman, A. M. S. (2019). A novel big data analytics framework for smart cities. Future Generation Computer Systems, 91, 620–633. https://doi.org/10.1016/j.future.2018.06.046
  13. Gödri, I., Kardos, C., Pfeiffer, A., Váncza, J. (2019). Data analytics-based decision support workflow for high-mix low-volume production systems. CIRP Annals, 68 (1), 471–474. https://doi.org/10.1016/j.cirp.2019.04.001
  14. Harding, J. L. (2013). Data quality in the integration and analysis of data from multiple sources: some research challenges. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-2/W1, 59–63. https://doi.org/10.5194/isprsarchives-xl-2-w1-59-2013
  15. Kaplan, R. S., Norton, D. P. (2006). Alignment: Using the Balanced Scorecard to Create Corporate Synergies. Harvard Business Press, 302.
  16. Niven, P. R. (2005). Balanced Scorecard Diagnostics: Maintaining Maximum Performance. John Wiley & Sons.
  17. Volynets, L., Gorobinska, I., Nakonechna, S., Petunin, A., Romanyuk, S., Khomenko, I., Zachosova, N. (2022). Principle of the assessment of the readiness of motor transport enterprises for economic development based on a two-component methodological approach. Eastern-European Journal of Enterprise Technologies, 4 (13 (118)), 12–21. https://doi.org/10.15587/1729-4061.2022.263041
  18. Maccarone, A. D., Brzorad, J. N., Stone, H. M. (2008). Characteristics and Energetics of Great Egret and Snowy Egret Foraging Flights. Waterbirds, 31 (4), 541–549. https://doi.org/10.1675/1524-4695-31.4.541
  19. Mintzberg, H., Lampel, J., Ahlstrand, B. (2001). Strategy Safari: A Guided Tour Through The Wilds of Strategic Mangament. The Free Press, 416.
  20. Ko, Y.-C., Fujita, H. (2019). An evidential analytics for buried information in big data samples: Case study of semiconductor manufacturing. Information Sciences, 486, 190–203. https://doi.org/10.1016/j.ins.2019.01.079
Devising a method for assessing the efficiency in managing logistics operations of motor transport enterprises

Downloads

Published

2024-12-24

How to Cite

Vorkut, T., & Volynets, L. (2024). Devising a method for assessing the efficiency in managing logistics operations of motor transport enterprises. Eastern-European Journal of Enterprise Technologies, 6(3 (132), 17–24. https://doi.org/10.15587/1729-4061.2024.317567

Issue

Vol. 6 No. 3 (132) (2024): Control processes

Section

Control processes

License

Copyright (c) 2024 Tatiana Vorkut, Lyudmila Volynets

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.