Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism

This paper analyses loss aversion mechanism (LAM) of the shipping company’s decision-makers about the risk-based decision (RBD) for slow steaming and generalizes a novel optimization model for the sailing speed through the trade-off between fuel consumption, SOx emissions and delivery delay. The val...

Full description

Saved in:
Bibliographic Details
Main Authors: Yuzhe Zhao, Jingmiao Zhou, Yujun Fan, Haibo Kuang
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2020/2157945
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832561325080838144
author Yuzhe Zhao
Jingmiao Zhou
Yujun Fan
Haibo Kuang
author_facet Yuzhe Zhao
Jingmiao Zhou
Yujun Fan
Haibo Kuang
author_sort Yuzhe Zhao
collection DOAJ
description This paper analyses loss aversion mechanism (LAM) of the shipping company’s decision-makers about the risk-based decision (RBD) for slow steaming and generalizes a novel optimization model for the sailing speed through the trade-off between fuel consumption, SOx emissions and delivery delay. The value functions against the benchmark speed were constructed based on physiological expected utility (PEU) to reveal the features of loss aversion, and the objective function was derived from these value functions with the aim to optimize the sailing speed. After that, a Genetic Algorithm (GA) solution with fitness function and special operators was built to solve the proposed model. Finally, the model was applied to pinpoint the PEU for the optimal sailing speed against the benchmark speed, and the sensitivity of the model was discussed with different benchmark speeds, value function weights and input parameters. The analysis shows that the proposed model can assist the slow steaming RBD based on the inner feelings of the shipping company’s decision-makers, offering a novel tool for sailing speed optimization.
format Article
id doaj-art-e3f7fab0c7ab49ac96bc610a7fd01bfc
institution Kabale University
issn 0197-6729
2042-3195
language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-e3f7fab0c7ab49ac96bc610a7fd01bfc2025-02-03T01:25:26ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/21579452157945Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion MechanismYuzhe Zhao0Jingmiao Zhou1Yujun Fan2Haibo Kuang3Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, ChinaCollaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, ChinaCollaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, ChinaCollaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, ChinaThis paper analyses loss aversion mechanism (LAM) of the shipping company’s decision-makers about the risk-based decision (RBD) for slow steaming and generalizes a novel optimization model for the sailing speed through the trade-off between fuel consumption, SOx emissions and delivery delay. The value functions against the benchmark speed were constructed based on physiological expected utility (PEU) to reveal the features of loss aversion, and the objective function was derived from these value functions with the aim to optimize the sailing speed. After that, a Genetic Algorithm (GA) solution with fitness function and special operators was built to solve the proposed model. Finally, the model was applied to pinpoint the PEU for the optimal sailing speed against the benchmark speed, and the sensitivity of the model was discussed with different benchmark speeds, value function weights and input parameters. The analysis shows that the proposed model can assist the slow steaming RBD based on the inner feelings of the shipping company’s decision-makers, offering a novel tool for sailing speed optimization.http://dx.doi.org/10.1155/2020/2157945
spellingShingle Yuzhe Zhao
Jingmiao Zhou
Yujun Fan
Haibo Kuang
Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism
Journal of Advanced Transportation
title Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism
title_full Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism
title_fullStr Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism
title_full_unstemmed Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism
title_short Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism
title_sort sailing speed optimization model for slow steaming considering loss aversion mechanism
url http://dx.doi.org/10.1155/2020/2157945
work_keys_str_mv AT yuzhezhao sailingspeedoptimizationmodelforslowsteamingconsideringlossaversionmechanism
AT jingmiaozhou sailingspeedoptimizationmodelforslowsteamingconsideringlossaversionmechanism
AT yujunfan sailingspeedoptimizationmodelforslowsteamingconsideringlossaversionmechanism
AT haibokuang sailingspeedoptimizationmodelforslowsteamingconsideringlossaversionmechanism