Modelling the project transport support optimal option

Authors

DOI:

https://doi.org/10.15587/2706-5448.2021.225288

Keywords:

infrastructure projects, project risks, project network schedule, vehicles, project product, project life cycle

Abstract

The object of research is the processes of planning transport provision of projects. The vast majority of projects involve the creation of tangible objects as a product. The implementation of such projects is associated with the use of various types of materials and equipment, which necessitates transport services for the functioning of the project logistics system. Vehicles with different characteristics can be used to solve the same transportation problems. Also, for large-scale infrastructure projects, rental of vehicles is often used for the duration of the project. This allows, on the one hand, to save on transportation costs, on the other hand, to gain complete control over the transportation processes in the project.

As a research result, an optimization model has been developed for determining the option of transport support for the project. The variant of transport support of the project is understood as a set of combinations of types and types of vehicles, their characteristics and conditions of use in the project for the work of the project that provide for transport services. Acquisition, lease or transport services from the project suppliers are considered as conditions for the use of vehicles in the project.

The optimization criterion is the cost of transport support, taking into account their possible increase, as well as the potential risks of losses associated with the failure to complete the work. Constraints take into account costs, time to receive a project product, and availability of transportation options.

Experimental calculations, a fragment of which is presented in the research, demonstrated the efficiency of the developed model, its adequacy and reliability of the results obtained with its help.

The area of practical use of the model is making decisions about transportation at the stage of project planning. The model allows for «what-if» experiments, which reflect various scenarios that are possible in the transportation of the project. And this, in turn, allows at the stage of project planning to assess the possible risks associated with transportation, and to establish their impact on the project as a whole.

Author Biographies

Svitlana Rusanova, Odessa National Maritime University

Assistant

Department of Port Operating and Handling Technologies

Varvara Piterska, Odessa National Maritime University

Doctor of Technical Sciences, Professor

Department of Port Operating and Handling Technologies

Svitlana Onyshchenko, Odessa National Maritime University

Doctor of Economic Sciences, Professor, Director

Educational and Scientific Institute of Marine Business

References

  1. Andrievska, V., Bondar, A., Onyshchenko, S. (2019). Identification of creation and development projects of logistic systems. Development of management and entrepreneurship methods on transport, 69 (4), 26–37. doi: https://doi.org/10.31375/2226-1915-2019-4-26-37
  2. Halvorsen-Weare, E. E., Fagerholt, K. (2011). Robust Supply Vessel Planning. Network Optimization, 559–573. doi: https://doi.org/10.1007/978-3-642-21527-8_62
  3. Halvorsen-Weare, E. E., Fagerholt, K. (2010). Routing and scheduling in a liquefied natural gas shipping problem with inventory and berth constraints. Annals of Operations Research, 203 (1), 167–186. doi: https://doi.org/10.1007/s10479-010-0794-y
  4. Welte, T. M., Sperstad, I. B., Halvorsen-Weare, E. E., Netland, Ø., Nonås, L. M., Stålhane, M. (2018). Operation and Maintenance Modelling. Offshore Wind Energy Technology, 269–303. doi: https://doi.org/10.1002/9781119097808.ch7
  5. Onishchenko, S. P., Siraev, A. R., Samoylovskaya, V. P. (2012). Estimation of efficiency of transportation organization of distribution systems. Eastern-European Journal of Enterprise Technologies, 6 (3 (60)), 37–43. Available at: http://journals.uran.ua/eejet/article/view/5509/4951
  6. Guidance for Transportation Project Management (2009). Washington, DC: The National Academies Press. doi: https://doi.org/10.17226/23028
  7. Novákovám, H. (2013). Methodology of transportation project management. Journal of Systems Integration, 3, 30–37. Available at: https://www.researchgate.net/publication/309742397_Methodology_of_transportation_project_management
  8. Owens, J. (2010). Project Management for Complex Transportation Projects. Graduate Theses and Dissertations, 11627. doi: https://doi.org/10.31274/etd-180810-1807
  9. Vereshchaka, N. (2020). Optimization of infrastructure project product parameters. Innovative technologies and scientific solutions for industries, 4 (14), 31–39. doi: https://doi.org/10.30837/ITSSI.2020.14.031
  10. Kravchenko, A. A. (2019). Justification of the optimal structure of vessels supplying marine drilling platforms and the organization of their work. Visnyk Skhidnoukrainskoho natsionalnoho universytetu imeni Volodymyra Dalia, 3 (251), 94–100.
  11. Bushuev, S. D., Bushueva, N. S. (2010). Mechanisms of forming of value in activity of the design-managed organizations. Eastern-European Journal of Enterprise Technologies, 1 (2 (43)), 4–9. Available at: http://journals.uran.ua/eejet/article/view/2494/2308
  12. Rusanova, S. (2020). Modeling the impact of the transport provision option on project risks. Innovative Technologies and Scientific Solutions for Industries, 4 (14), 78–85. doi: https://doi.org/10.30837/itssi.2020.14.078
  13. Gamez, E. A., Touran, A. (2009). A Method of Risk ranking for International Transportation Projects. Proceedings of 7th International Probabilistic Workshop. Delft, 187–203.
  14. Rodrigues-da-Silva, L. H., Crispim, J. A. (2014). The project risk management process, a preliminary study. Procedia Technology, 16, 943–949. doi: https://doi.org/10.1016/j.protcy.2014.10.047
  15. Baharmand, H., Zad, M., Hashemi, S. H. (2013). Prioritization of Effective Risk Factors on Oil Industry Construction Projects (by PMBOK Standard Approach). Research Journal of Applied Sciences, Engineering and Technology, 6 (3), 521–528. doi: https://dx.doi.org/10.19026/rjaset.6.4113
  16. Buganová, K., Šimíčková, J. (2019). Risk management in traditional and agile project management. Transportation Research Procedia, 40, 986–993. https://doi.org/10.1016/j.trpro.2019.07.138
  17. Sözüera, M., Spanga, K. (2014). The Importance of Project Management in the Planning Process of Transport Infrastructure Projects in Germany. Procedia - Social and Behavioral Sciences, 119, 601–610. doi: https://doi.org/10.1016/j.sbspro.2014.03.067

Downloads

Published

2021-02-28

How to Cite

Rusanova, S., Piterska, V., & Onyshchenko, S. (2021). Modelling the project transport support optimal option. Technology Audit and Production Reserves, 1(2(57), 43–48. https://doi.org/10.15587/2706-5448.2021.225288

Issue

Vol. 1 No. 2(57) (2021): Information and control systems

Section

Systems and Control Processes: Reports on Research Projects

License

Copyright (c) 2021 Светлана Сергеевна, Варвара Михайловна, Светлана Петровна

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.