Defining compromise area in the processes of multimodal delivery organization within the agile approach

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.298846

Keywords:

digital space, delivery parameters, area of compromise, regression models, balancing of interests, agile cycle

Abstract

The level of competition in the transport market requires delivery organizers to implement better approaches based on modern management methodologies, in particular, agile, which makes it possible to provide a modern level of service to cargo owners.

The object of this research is the processes of organizing multimodal delivery. The subject of the study is the area of compromise in the processes of organizing multimodal delivery based on the agile approach.

The term «compromise area» is introduced, which reflects the numerical limits of product parameters in the general case. For the transportation domain under consideration, the «trade-off area» reflects the limits of the characteristics of multimodal delivery, which is the «product» for the multimodal operator.

A set of alternative options for multimodal delivery forms the basis for establishing the dependence of the cost of delivery on time and its reliability (possible time deviation). The area in the «time-reliability-cost» space, which is formed on the basis of this dependence, on the one hand, and the requirements of the cargo owner, taking into account their possible adjustment, on the other hand, is the area of compromise. This area is proposed for use in agile approaches to the organization of multimodal delivery. Balancing the interests of the cargo owner and the multimodal operator allows changing the limits of the compromise area within the framework of the proposed scheme of agile cycles in the process of planning and organizing delivery.

On the example of delivering a container with cargo from China to Kyiv, regression linear models were built. These models formalize the dependence of delivery cost on reliability and/or time. Using the example of varying the requirements of the cargo owner regarding the limitations of some delivery characteristics, the formation of the compromise area and its adjustment was carried out, which demonstrated the practical aspects of the formation of the compromise area for multimodal delivery.

The results are the basis for the implementation of the agile approach in the field of multimodal transportation. The further development of these results consists in the construction of mathematical models that could form the basis for finding solutions in the area of compromise

Author Biographies

Viktor Berestenko, Odessa National Maritime University

Department Fleet Operation and Shipping Technology

Svitlana Onyshсhenko, Odessa National Maritime University

Doctor of Economic Sciences, Professor

Department Fleet Operation and Shipping Technology

References

  1. Wang, Z., Zhang, D., Tavasszy, L., Fazi, S. (2023). Integrated multimodal freight service network design and pricing with a competing service integrator and heterogeneous shipper classes. Transportation Research Part E: Logistics and Transportation Review, 179, 103290. https://doi.org/10.1016/j.tre.2023.103290
  2. Koskina, Yu. O. (2020). Formalization of the process of organization of the cargo delivery system. Science-Based Technologies, 45 (1). https://doi.org/10.18372/2310-5461.45.14582
  3. Rusanova, S., Onyshсhenko, S. (2020). Development of transport and technological process options’ concept for goods delivery with participation of maritime transport. Technology Audit and Production Reserves, 1 (2 (51)), 24–29. https://doi.org/10.15587/2312-8372.2020.198373
  4. Manifesto for Agile Software Development. Available at: https://agilemanifesto.org/iso/en/manifesto.html
  5. Cheng, R., Jiang, Y., Nielsen, O. A. (2023). Integrated people-and-goods transportation systems: from a literature review to a general framework for future research. Transport Reviews, 43 (5), 997–1020. https://doi.org/10.1080/01441647.2023.2189322
  6. Chen, D., Zhang, Y., Gao, L., Thompson, R. G. (2019). Optimizing Multimodal Transportation Routes Considering Container Use. Sustainability, 11 (19), 5320. https://doi.org/10.3390/su11195320
  7. Zhang, Y., Kamargianni, M. (2022). A review on the factors influencing the adoption of new mobility technologies and services: autonomous vehicle, drone, micromobility and mobility as a service. Transport Reviews, 43 (3), 407–429. https://doi.org/10.1080/01441647.2022.2119297
  8. Dong, B., Christiansen, M., Fagerholt, K., Chandra, S. (2020). Design of a sustainable maritime multi-modal distribution network – Case study from automotive logistics. Transportation Research Part E: Logistics and Transportation Review, 143, 102086. https://doi.org/10.1016/j.tre.2020.102086
  9. Pavlova, N., Onyshchenko, S. (2021). Development and research of a model for optimizing the composition of a project-oriented forwarding company’ suppliers. Technology Audit and Production Reserves, 1 (2 (57)), 36–42. https://doi.org/10.15587/2706-5448.2021.225521
  10. Pavlova, N., Onyshchenko, S. (2020). Organization of transport company’s project-oriented management (on the example of the freight forwarding company). Management of Development of Complex Systems, 42, 23–28. https://doi.org/10.32347/2412-9933.2020.42.23-28
  11. Sandsto, R., Reme-Ness, C. (2021). Agile Practices and Impacts on Project Success. Journal of Engineering, Project, and Production Management, 11 (3), 255–262. https://doi.org/10.2478/jeppm-2021-0024
  12. O’Sheedy, D., Sankaran, S. (2013). Agile Project Management for IT Projects in SMEs: A Framework and Success Factors. The International Technology Management Review, 3 (3), 187. https://doi.org/10.2991/itmr.2013.3.3.4
  13. Zielske, M., Held, T. (2022). Agile methods used by traditional logistics companies and logistics start-ups: a systematic literature review. Journal of Systems and Software, 190, 111328. https://doi.org/10.1016/j.jss.2022.111328
  14. Farahani, A., Genga, L., Dijkman, R. (2021). Online Multimodal Transportation Planning using Deep Reinforcement Learning. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). https://doi.org/10.1109/smc52423.2021.9658943
  15. Busse, A., Gerlach, B., Lengeling, J. C., Poschmann, P., Werner, J., Zarnitz, S. (2021). Towards Digital Twins of Multimodal Supply Chains. Logistics, 5 (2), 25. https://doi.org/10.3390/logistics5020025
  16. Dimitrov, D., Petrova, I. (2019). Strategic planning and development of transport infrastructures based on agile methodology. IOP Conference Series: Materials Science and Engineering, 664, 012033. https://doi.org/10.1088/1757-899x/664/1/012033
  17. dos Santos França, J. B., Netto, J. M., Barradas, R. G., Santoro, F., Baião, F. A. (2013). Towards Knowledge-Intensive Processes Representation. Lecture Notes in Business Information Processing, 126–136. https://doi.org/10.1007/978-3-642-36285-9_14
  18. Pavlova, N., Onyshсhenko, S., Obronova, A., Chebanova, T., Andriievska, V. (2021). Creating the agile-model to manage the activities of project-oriented transport companies. Eastern-European Journal of Enterprise Technologies, 1 (3 (109)), 51–59. https://doi.org/10.15587/1729-4061.2021.225529
  19. Bushuyev, S., Onyshchenko, S., Bondar, A., Bushuyeva, N., Obronova, A. (2022). Assessment and Monitoring Project Management Quality Based on the Entropy Approach. 2022 International Conference on Smart Information Systems and Technologies (SIST). https://doi.org/10.1109/sist54437.2022.9945775
  20. Bushuyev, S., Bushuieva, V., Onyshchenko, S., Pavlova, N. (2021). Agile-Transformation Organizational Development based on Portfolio Management. 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). https://doi.org/10.1109/idaacs53288.2021.9660972
Defining compromise area in the processes of multimodal delivery organization within the agile approach

Downloads

Published

2024-02-28

How to Cite

Berestenko, V., & Onyshсhenko S. (2024). Defining compromise area in the processes of multimodal delivery organization within the agile approach. Eastern-European Journal of Enterprise Technologies, 1(3 (127), 78–86. https://doi.org/10.15587/1729-4061.2024.298846

Issue

Section

Control processes