Assessing risk of supply chain disruption due to COVID-19 with fuzzy VIKORSort

Khan, Jehangir; Ishizaka, Alessio; Mangla, Sachin Kumar

doi:10.1007/s10479-022-04940-9

Cited by 9 publications

(2 citation statements)

References 72 publications

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“…Ref. [173] applied an uncertainty method based on fuzzy set theory. In order to observe the elasticity of economic sectors and rank them using three predefined categories, Kan et al [173] proposed using a new fuzzy method, VIKORSort.…”

Section: Study Of Hazardous Materials Transportation To Minimize Risk...mentioning

confidence: 99%

Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review

et al. 2023

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In recent years, there have been frequent cases of impact on the stable development of supply chain economy caused by uncertain events such as COVID-19 and extreme weather events. The creation, management, and impact coping techniques of the supply chain economy now face wholly novel requirements as a result of the escalating level of global uncertainty. Although a significant literature applies uncertainty analysis and optimization modeling (UAO) to study supply chain management (SCM) under uncertainty, there is a lack of systematic literature review and research classification. Therefore, in this paper, 121 articles published in 44 international academic journals between 2015 and 2022 are extracted from the Web of Science database and reviewed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Bibliometric analysis and CiteSpace software are used to identify current developments in the field and to summarize research characteristics and hot topics. The selected published articles are classified and analyzed by author name, year of publication, application area, country, research purposes, modeling methods, research gaps and contributions, research results, and journals to comprehensively review and evaluate the SCM in the application of UAO. We find that UAO is widely used in SCM under uncertainty, especially in the field of decision-making, where it is common practice to abstractly model the decision problem to obtain scientific decision results. This study hopes to provide an important and valuable reference for future research on SCM under uncertainty. Future research could combine uncertainty theory with supply chain management segments (e.g., emergency management, resilience management, and security management), behavioral factors, big data technologies, artificial intelligence, etc.

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Section: Study Of Hazardous Materials Transportation To Minimize Risk...mentioning

confidence: 99%

Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review

et al. 2023

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show abstract

“…Although the sustainability of ESCs involves several elements, such as resilience, robustness, and disruption risks, this paper argues that good management of risks can prevent and control the problem at the root [10][11][12]. Therefore, this study will take the post-COVID-19 supply chain as an example to explore the laws of risk propagation in ESCs.…”

Section: Introductionmentioning

confidence: 99%

Transmission Mechanism of Post-COVID-19 Emergency Supply Chain Based on Complex Network: An Improved SIR Model

Chen

Yin

2023

Sustainability

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Since the COVID-19 epidemic swept the world, the emergency supply chain (ESC) has faced serious uncertainty risks. To maintain the stability of the emergency supply, risk prevention and contingency measures must be prepared. In this paper, the authors first obtain the initial risk value of 0.4 using the fuzzy comprehensive evaluation approach and then build an improved SIR model based on a complex network to investigate the risk propagation law of the ESC. The simulation results show that (1) the high number of nodes becomes the initial risk source, the risk propagates faster and the peak value arrives two days earlier on average; (2) the initial infection rate gradually increases from 0.2 to 0.4, 0.6, and 0.8, and the risk spread speed also accelerates; (3) the recovery rate of network nodes increases gradually from 0.1 to 0.2, 0.3, and 0.4, and the influence range of risk propagation decreases inversely; (4) appropriately increasing the deletion rate of network nodes is conducive to improving the stability of the ESC network. Given the above ESC risk propagation law, this paper proposes relevant risk prevention measures and suggests that a risk early warning system of node enterprises should be established in combination with the target immunization strategy. For ESC risk management, the result has significant theoretical and practical implications.

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Supply Chain Collaboration and Sustainability: Multiple Case Study from Moroccan Food Industry

Gouiferda,

Iddik

2024

Lecture Notes in Networks and Systems

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Assessing risk of supply chain disruption due to COVID-19 with fuzzy VIKORSort

Cited by 9 publications

References 72 publications

Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review

Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review

Transmission Mechanism of Post-COVID-19 Emergency Supply Chain Based on Complex Network: An Improved SIR Model

Supply Chain Collaboration and Sustainability: Multiple Case Study from Moroccan Food Industry

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