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Evaluating recovery strategies for the disruptions in liner shipping networks: a resilience approach

Chengpeng Wan (ITS Center, Wuhan University of Technology, Wuhan, China)
Jiale Tao (ITS Center, Wuhan University of Technology, Wuhan, China)
Zaili Yang (Liverpool Logistics Offshore and Marine Research Institute (LOOM), Liverpool John Moores University, Liverpool, UK)
Di Zhang (ITS Center, Wuhan University of Technology, Wuhan, China) (School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, China)

The International Journal of Logistics Management

ISSN: 0957-4093

Article publication date: 15 October 2021

Issue publication date: 19 April 2022

1053

Abstract

Purpose

Since the start of the current century, the world at large has experienced uncertainties as a result of climate change, terrorism threats and increasing economic upheaval. These uncertainties create non-classical risks for global seaborne container trade and liner shipping networks (LSNs). The purpose of this paper is to establish a novel risk-based resilience framework to measure the effectiveness of different recovery strategies for the disruptions in LSNs in a quantitative manner.

Design/methodology/approach

Based on a resilience loss triangle model, an indicator of resilience–cost ratio is designed to measure the performance of LSNs during recovery. Four recovery strategies are proposed to test the rationality and feasibility of the developed indicator in aiding decision-making of LSNs from a resilience perspective.

Findings

The analysis results reveal that the superiorities of different recovery strategies vary depending on both the structures of LSNs and the specific requirements during recovery. Moreover, optimizing the sequence of ports being recovered will improve the overall recovery efficiency of the investigated LSN.

Research limitations/implications

As an exploratory research trying to enrich the risk-based resilience evaluation of LSNs from a complex network perspective, only two attributes (e.g. port scare and economy) are considered at the current stage when estimating the time needed to fully recover the whole LSN. In future research, more attributes from the industry may be identified and incorporated into the proposed model to further extend its ability and application scopes.

Practical implications

The findings will help to improve managerial understandings of recovery strategies to build more resilient LSNs. The proposed model has the capability to be tailored to tackle different types of risks in addition to the storm disaster condition.

Originality/value

The risk-based resilience framework and the resilience–cost ratio indicator are newly developed in this research. They can consider LSNs' structural resilience and the total costs that a recovery strategy needs to restore the whole system simultaneously.

Keywords

Acknowledgements

This paper forms part of a special section “Resilient supply chains through innovative logistics management”, guest edited by Peggy S. Chen and Jiangang Fei.

The authors would like to acknowledge the National Key R&D Program of China (2020YFE0201200), National Natural Science Foundation of China (51909202) and the Fundamental Research Funds for the Central Universities (WUT: 2020Ⅲ042GX). This work is also partially supported by the European Union's Horizon 2020 Research and Innovation Programme RISE under grant agreement no. 823759 (REMESH) and no. 777742 (GOLF). This work is financially supported by a European Research Council project (TRUST CoG 2019 864742).

Citation

Wan, C., Tao, J., Yang, Z. and Zhang, D. (2022), "Evaluating recovery strategies for the disruptions in liner shipping networks: a resilience approach", The International Journal of Logistics Management, Vol. 33 No. 2, pp. 389-409. https://doi.org/10.1108/IJLM-05-2021-0263

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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