%0 Journal Article
%T 考虑货主选择惯性的班轮联盟航运网络设计<br>Liner Alliance Shipping Network Design Considering the Shipper’s Choice Inertia
%A 陈海潮
%J Management Science and Engineering
%P 100-111
%@ 2167-6658
%D 2023
%I Hans Publishing
%R 10.12677/MSE.2023.122011
%X 为了应对贸易冲突加剧和新冠肺炎疫情的影响，班轮公司开始结成联盟从而维持航运服务的稳定性，托运人在选择海洋运输服务时也变得更加敏感。在上述特定市场形势下，我们研究了考虑托运人敏感性(即选择惯性)的班轮联盟航运网络设计问题，并建立了一个非线性的混合整数规划模型。模型使班轮联盟的利润最大化，优化了联盟航线、船队设计方案和舱位分配方案。为了保证联盟运营的可持续性，建立了联盟成员之间的利润分配机制。我们基于遗传算法框架提出了一种求解模型的启发式算法。根据亚洲和西欧之间的实际航运数据，进行了数值实验。研究结果可为班轮联盟的可持续经营提供理论支持。<br />
Affected by the intensification of trade conflicts and the impact of the COVID-19, liner companies began to form alliances to enhance supply chain resilience, and shippers became more sensitive when choosing ocean transport services. Motivated by the market situation, we investigate the liner alliance shipping network design problem considering the sensitivity of the shippers (i.e., choice inertia) and a mixed integer programming model is established. The model maximizes the profit of the alliance and optimizes the alliance shipping network, fleet design scheme and the slot allocation scheme. To ensure the sustainability of alliance operations, a profit distribution mechanism is developed. A genetic-based heuristic is developed to solve the models. Based on the real shipping data between Asia and Western Europe, numerical experiments are carried out. The model and algorithms can provide decision-making reference for the daily operations of a liner alliance.
%K 航运网络设计，班轮联盟，选择惯性，遗传算法<br>Shipping Network Design
%K Liner Alliance
%K Choice Inertia
%K Genetic Algorithm (GA)
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=62600