Optimal decision making for empty container management at seaport yard

• Autorzy: Vinh Ngo Quang , You Sam-Sang You , Long Le Ngoc Bao , Kim Hwan-Seong

Identyfikatory

DOI

10.17270/J.LOG.2023.801

• Języki publikacji: EN

Abstrakty

EN

Background: In global trade, shipping companies are forced to manage empty containers due to imbalances in international trade activities. For decision-makers, the problems require considering restrictions and an uncertain environment and repositioning or leasing the containers to satisfy the rapidly changing global demands regardless of the epidemic outbreak's impact on the seaport. The proposed approach can help decision-makers manage the empty container in port yards more effectively under market uncertainty by employing the Bellman optimality principle for the stochastic dynamic system. Methods: A stochastic production planning model is employed to cope with uncertainty and unexpected events to ensure a robust management strategy. Ito's formula describes the dynamic model for solving a stochastic differential equation. This paper uses stochastic optimal control theory to deal with efficient empty container management at the port yard. The findings have revealed the effectiveness of the proposed framework, which will provide a decision-making support scheme for efficient port operations. Results: The presented algorithm is realized by a novel approach, employing the Hamilton-Jacobi-Bellman (HJB) equation for optimal stochastic control problems. When comparing the model with and without uncertainty events, the gap is just about 0.04 %, proving the robustness of the proposed model. The results provide a decision support system for port managers when managing the empty container in the seaport yard. Conclusions: The proposed model not only figures out the optimal ordering of empty containers for each cycle but also points out the optimal safety stock level. Using a stochastic optimization approach, decision-makers can implement a strategic management policy to optimize seaport operational costs under market disruptions.

Słowa kluczowe

EN

empty container management; decision making; inventory model; stochastic optimal control; Hamilton-Jacobi-Bellman equation

PL

zarządzanie pustymi kontenerami; podejmowanie decyzji; model zapasów; optymalna kontrola stochastyczna; równanie Hamiltona-Jacobiego-Bellmana

• Wydawca: Wyższa Szkoła Logistyki
• Czasopismo: LogForum
• Rocznik: 2023
• Tom: Vol. 19, no. 1
• Strony: 75--89
• Opis fizyczny: Bibliogr. 19 poz., rys., tab., wykr.

Twórcy

autor

Vinh Ngo Quang

• Department of Logistics, Korea Maritime and Ocean University, Busan, Republic of Korea

• https://orcid.org/0000-0002-5490-4289

autor

You Sam-Sang You

• Division of Mechanical Engineering, Korea Maritime and Ocean University, Busan, Republic of Korea

• https://orcid.org/0000-0003-2660-4630

autor

Long Le Ngoc Bao

• Department of Logistics, Korea Maritime and Ocean University, Busan, Republic of Korea

• https://orcid.org/0000-0002-4588-2786

autor

Kim Hwan-Seong

• Department of Logistics, Korea Maritime and Ocean University, Busan, Republic of Korea

• https://orcid.org/0000-0001-7035-7994

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).