E-ISSN: 2148-9386
Decision-making for the shipping network based on Adaptive Cumulative Prospect Theory – A case study in Vietnam [JEMS Maritime Sci]
JEMS Maritime Sci. Ahead of Print: JEMS-76993

Decision-making for the shipping network based on Adaptive Cumulative Prospect Theory – A case study in Vietnam

Yen Thi Pham1, Ngoc Cuong Truong1, Phung Hung Nguyen2, Hwanseong Kim1
1Department of Logisitcs, Korea Maritime & Ocean Univ., Busan, South Korea
2Maritime Academy, Ho Chi Minh City University of Transport, HCM, Vietnam

This paper aims to propose an optimal method designed to use in a real-life situation to deal with port route choice decisions for evaluating and aggregating the daily net profit for liner shipping services to assist the shipping lines in making optimal decisions under risk in the choice of the optimal route with the highest average daily profit for container liner shipping under the un-certain combination factors: Freight rate, shipment demand, fuel oil price. A cumulative prospect theory (CPT) approach considers the decision-maker's attitude to describe decision-making under uncertainty applicable for any number of consequences to calculate the daily net profit model for container vessels. The results are compared to benchmark methods such as the expected utility theory. This paper includes an application of the proposed approach to Hai An container shipping lines in Vietnam in 2022 as a case study. Furthermore, adaptive parameters are presented to improve a model's performance when data distribution varies over time or across different contexts. The results show that the larger the adaptive parameter, the higher the daily profit, but the growth rate diminishes. The findings suggested that Hai Phong – Ho Chi Minh route emerges as the safest with the least effect and the lowest variation in CPV of daily profit. Hai Phong (HP)-Tan Cang Cai Mep (TCIT) - Ho Chi Minh (HCM) – Hai Phong route is recommended as the most effective and economically favorable strategy for managers seeking the highest cumulative daily profit. This paper not only explains that the actual calculated results align with decision-makers behavior such as risk aversion, decision-makers who prioritize stability are inclined to choose options or strategies that offer a higher level of certainty, even if it means forgoing higher profits but also provides a practical and easy-to-apply method for choosing a shipping network.

Keywords: Adaptive cumulative prospect theory, Cumulative prospect theory, Daily profit model, Decision-making, Shipping network.



Corresponding Author: Hwanseong Kim, Korea-South
Manuscript Language: English
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