Modeling the resilience of liner shipping network under cascading effects: Considering distance constraints and transportation time

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

Abstract

The Liner Shipping Network (LSN) is a crucial component of the maritime supply chain (MSC) but remains susceptible to disruptions caused by natural disasters or emergencies, given its intricate structure and high level of interdependence. In this study, we present a novel cascading failure model that accounts for the heterogeneity of distances and transportation times between nodes, coupled with actual shipping lines. This comprehensive approach aims to thoroughly evaluate the resilience of the LSN. The study’s results reveal noteworthy variations in the cascading effects across diverse load distribution distances and transportation times. Furthermore, it delves into load distribution strategies to improve the resilience of the LSN and investigates the impact of capacity parameters on cascading effects. The results indicate that the distribution strategy proposed in this paper, integrating transportation time and redundancy levels, effectively suppresses the spread of cascading faults and improves network resilience. The outcomes of this research contribute to a deeper understanding of strategies for enhancing resilience and managing risks in shipping networks, providing valuable insights for management and decision-making in maritime operations.

模拟连带效应下班轮运输网络的弹性:考虑距离限制和运输时间
班轮航运网络(LSN)是海上供应链(MSC)的重要组成部分,但由于其结构错综复杂且高度相互依赖,因此仍然很容易受到自然灾害或突发事件的影响。在本研究中,我们提出了一个新颖的级联故障模型,该模型考虑了节点之间距离和运输时间的异质性,并结合了实际的航运线路。这种综合方法旨在全面评估 LSN 的恢复能力。研究结果表明,在不同的负载分布距离和运输时间下,级联效应存在显著差异。此外,研究还深入探讨了提高 LSN 弹性的货物分配策略,并研究了运力参数对级联效应的影响。结果表明,本文提出的分配策略综合了运输时间和冗余水平,有效抑制了级联故障的扩散,提高了网络弹性。本文的研究成果有助于加深对提高航运网络弹性和管理风险的策略的理解,为海事运营的管理和决策提供了宝贵的见解。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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