2022
DOI: 10.1016/j.tre.2022.102759
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A causality analysis of risks to perishable product supply chain networks during the COVID-19 outbreak era: An extended DEMATEL method under Pythagorean fuzzy environment

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Cited by 34 publications
(10 citation statements)
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References 82 publications
(113 reference statements)
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“…To analyze different polar clothing, various alternatives were assessed using certain attributes such as material, layer number, and waterproofing capability. These attributes were analyzed using the PF-DEMATEL approach Shafiee et al ( 2022 ) The authors used PF-DEMATEL to analyze the risk associated with the supply chain of perishable products during COVID-19 …”
Section: Methodsmentioning
confidence: 99%
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“…To analyze different polar clothing, various alternatives were assessed using certain attributes such as material, layer number, and waterproofing capability. These attributes were analyzed using the PF-DEMATEL approach Shafiee et al ( 2022 ) The authors used PF-DEMATEL to analyze the risk associated with the supply chain of perishable products during COVID-19 …”
Section: Methodsmentioning
confidence: 99%
“…The input relation matrix in the form of a Pythagorean fuzzy set is presented in Eq. 1 (Shafiee et al 2022 ). …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In an attempt to analyze shelf life, Priyan & Mala [ 13 ] provided a production-inventory game theory model to include a continuous quality degradation rate in a two-echelon hospital and pharmaceutical company supply chain. In a recent study conducted by Shafiee et al [ 14 ] pertaining to the evaluation of risk in supply chain networks involving perishable goods, it was revealed that the perishability of the products in question plays a pivotal role in instigating and exacerbating other risk factors.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It has been considered the “deepest global recession in decades” by the World Bank (2020). No sector has been spared from the impact, as supply chains in agriculture (Alabi & Ngwenyama et al., 2023), medical (Ali and Kannan, 2022; Banik et al., 2022; Xu et al., 2023b), food (Ali & Govindan, 2021; Shafiee et al., 2022), infrastructure (Govindan et al., 2021), tourism (Bai & Run, 2022; López‐Vizcarra et al., 2023), fashion (Dohale et al., 2022), and manufacturing (Spieske & Birkel, 2021) have all been severely affected, demonstrating the inadequate risk management strategies employed by global companies. Managing such epidemic risk in global supply chains poses operationalization difficulties, as discussed in the existing literature (van Hoek, 2020; Xu et al., 2023a,c).…”
Section: Introductionmentioning
confidence: 99%