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

Abstract

PurposeSince 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/approachBased 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.FindingsThe 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/implicationsAs 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 implicationsThe 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/valueThe 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.

A Systematic Literature Review of Maritime Transportation Safety Management

“…( 8) Extensibility-the ability to handle large-scale parameters. [93] Simulation [102] CN [49] FMEA [99] FTA [93] Game theory [103] Machine learning [98] FRAM [89] HFACS [94] STPA [104] Markov model [44] DBN [44]…”

“…Yang and Liu [90] constructed the Maritime Silk Road shipping network using the CN method and then used disruption simulations to analyze the resilience of the Maritime Silk Road transportation network, identifying dominant and weak port nodes. Wan et al [49] used the resilience loss triangle model to analyze the performance of liner shipping networks (LSNs) during recovery, and the rationality and feasibility of the developed indicators in LSN-aided decision making were tested from the recovery strategies based on the degree of centrality, closeness of the degree of centrality, and betweenness centrality. Poo and Yang [107] assessed the global shipping network focusing on climate resilience by using a methodology that combined CN and a ship routing optimization model.…”

“…Meanwhile, we found that these core authors frequently used the BN and CN methods to study maritime transportation safety issues [43][44][45][46] and mainly focused on oil spill problems [47]. In addition, a few authors were instrumental in studying maritime resilience and vulnerability assessment [48,49].…”

Exploring the Factors that Affect the Resilience of Port Organizational Ecosystems through a Survey of Common Uncertainties

“…unpredicted external factors, to improve its resistance and reduce the possible losses it may suffer [1]; the other is response-driven management which improves the recoverability of ecosystems after the occurrence of disruptions and restores normal conditions as soon as possible [2]. The theory of organizational ecosystem resilience enables the possibility to analyse the integral combination of these two types of management for the enhancement of organizational ecosystem's resilience.…”

Editorial: Special issue on resilient supply chains through innovative logistics management

“…The first paper in this special issue by Wan et al (2022) is entitled “Evaluating recovery strategies for the disruptions in liner shipping networks: a resilience approach”. This paper establishes a novel risk-based resilience framework to measure the effectiveness of different recovery strategies for the disruptions in liner shipping networks (LSNs).…”