Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism
Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism
复制标题
DOI：
10.1155/2020/2157945
复制
发表时间：
2020-01
影响因子：
2.3
通讯作者：
Yuzhe Zhao;Jingmiao Zhou;Yujun Fan;H. Kuang
中科院分区：
文献类型：
--
作者：
Yuzhe Zhao;Jingmiao Zhou;Yujun Fan;H. Kuang
本文分析了航运业决策者在慢速航行风险决策中的损失规避机制，提出了一种基于燃油消耗、SOx排放和交货延迟权衡的航速优化模型。基于生理期望效用（PEU），构建了针对基准航速的值函数，揭示了损失厌恶的特征，并从这些值函数中导出了以航速优化为目标的目标函数。在此基础上，建立了带适应度函数和特殊算子的遗传算法求解模型。最后，应用该模型在基准航速的基础上精确定位最优航速PEU，并在不同基准航速、值函数权值和输入参数下讨论了模型的灵敏度。分析表明，该模型能够基于航运公司决策者的内心感受辅助慢速航行RBD，为航速优化提供了一种新的工具。
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.