The game theory decision models for transport systems selection based on the SWOT analysis on the example of heavy and oversized goods transport

• Autorzy: Strzelczyk Adriana , Guze Sambor

Identyfikatory

DOI

10.17402/628

• Języki publikacji: EN

Abstrakty

EN

This article addresses the optimal choice of transport mode for a specific transport task. Knowing each branch’s limitations, strengths, and weaknesses facilitates decision-making when identifying them for use in a given situation. This is of particular importance when transporting oversized loads and heavy pieces. Therefore, this article aims to propose a new model of the game with nature based on SWOT analyses for transport systems selection for oversized and heavy loads. Firstly, for this solution, it is necessary to define measures for each of the four elements of a SWOT analysis (i.e. strengths, weaknesses, opportunities, and threats). Secondly, these four elements are the states of nature in a defined game with nature. Here, the transport mode builds the scenarios that are possible to select. The SWOT analysis determines the strategic position, market attractiveness (MA), and market position (MP) of transport modes. Next, applying very well-known decision-making criteria in the theory of games with nature makes it possible to create appropriate decision-making models for transport mode selection. The application of the method is shown in the example of selecting the most competitive modes of transport for oversized loads.

Słowa kluczowe

EN

games with nature; heavy goods; oversized goods; multicriteria optimization; SWOT; EOL; EVPI; transport nodes selection

• Wydawca: Wydawnictwo Naukowe Politechniki Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Politechniki Morskiej w Szczecinie
• Rocznik: 2025
• Tom: nr 81 (153)
• Strony: 23--34
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Strzelczyk Adriana

• Maritime School Complex in Gdańsk 8 Wyzwolenia St., 80-537 Gdańsk, Poland

autor

Guze Sambor

• Gdynia Maritime University 81-87 Morska St., 81-225 Gdynia, Poland

• https://orcid.org/0000-0003-1635-1924

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).