Supply chain resilience in a Covid-19 scenario: Mapping capabilities in a systemic framework

Pimenta, Márcio Lopes; Cezarino, Luciana Oranges; Piato, Éderson Luiz; Silva, Cláudio Heleno Pinto da; Oliveira, Bruno Garcia de

doi:10.1016/j.spc.2021.10.012

Cited by 62 publications

(53 citation statements)

References 32 publications

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“…Therefore, the issues raised on the nature of chains and resilience need to be placed in a broader context. It is therefore important to build resilience also through the geopolitical prism (eg Brexit, the US-China trade war) [67], or taking into account the current pandemic problems [46,68].…”

Section: Discussionmentioning

confidence: 99%

Building Resilience Attributes of Supply Chains from the Perspective of their Types

Maryniak

2022

Management Systems in Production Engineering

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We are currently dealing with disruptions in supply chains. They come from faulty production systems, in poor organization of distribution processes or are related to external factors, often unseen. Consequently, it is necessary to build resistant chains. This article discusses this topic in the context of the basic types of supply chains, i.e. agile, lean and green. The aim of the study was to assess the types of chains in which the tested production entities are embedded and check if the proposed models of building resilience take this into account. The reason this should be investigated further, is to indicate relationships in areas that are rarely captured in research models. Both quantitative and qualitative methods were used in the work. Interviews were conducted in over seventy subjects and a critical analysis of the literature on model of resilient supply chains was performed. As a result of the work undertaken, it can be concluded, inter alia, that in the economic reality, there are hybrid chains in which the characteristics of pro-saving chains prevail. It was also established that the proposed research models for resilient chains should take into account, to greater extent, accents compatible with the nature of the chains occurring an economic reality. It is also necessary to extend their content to include pro-environmental components. At the same time, it is not unequivocal that the chains with the advantage of agility-related attributes are more resistant than the chains in which the greater concentration is attributed to the attributes of lean or green chains. Determining this requires further research.

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Section: Discussionmentioning

confidence: 99%

Building Resilience Attributes of Supply Chains from the Perspective of their Types

Maryniak

2022

Management Systems in Production Engineering

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“…They observed the inventory of the disturbance amplification and concluded that the longer the supply interruption time, the greater the inventory fluctuation. Pimenta et al [30] concluded that sudden and frequent supply chain disruptions will have a certain impact on supply chain flexibility, affecting the recovery capability of the entire supply chain.…”

Section: Literature Reviewmentioning

confidence: 99%

Supply Chain Recovery Strategies for High Demand Products Based on the Impact of Capacity and Transportation Disruptions

Zhao

et al. 2022

Systems

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The outbreak of the COVID-19 has had a huge impact on the manufacturing supply chain, especially the supply chain of high-demand products, and is mainly reflected in the double interruption of production capacity and transportation. The research aims to use system dynamics to explore how government subsidies can play a role in supply chain recovery when government subsidies are limited, which provides a new idea for improving supply chain management. In order to explore the impact of government subsidy strategies on supply chain recovery in the context of supply chain disruptions, this paper takes high-demand products during the epidemic as the research object, and takes the government’s subsidy choices under the impact of production capacity and transportation disruptions as the entry point for recovery strategies. The cumulative total profit of chain members is used as a judgment indicator, and systems dynamics is used to conduct modeling and simulation to build a secondary supply chain for manufacturers and distribution centers and simulate eight scenarios of different levels of production capacity and transportation interruptions, clarifying the impact of government subsidies on supply the impact of chain recovery. The research results show that, for secondary supply chains, whether in the scenario of partial or complete transportation interruption, government subsidies to manufacturers make supply chain recovery more effective, government subsidies do not have an immediate recovery effect during production capacity and transportation interruptions, and that under the complete interruption of production capacity, the cumulative total value of the supply chain after increasing government subsidies has rebounded in a spiral.

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“…Although AI is a type of technology that existed pre-COVID-19, the necessity of AI comes to the forefront in times of unexpected disruption such as COVID-19 (Sharma, Srivastava, et al, 2021 ; Sharma, Thomas, et al, 2021 ; Singh et al, 2020 ). In existing literature, the impact of COVID-19 in SSC (Alzoubi et al, 2022 ; Pimenta et al, 2022 ) has been recently studied. Moreover, AI solutions for SSC problems have been conducted Faasolo & Sumarliah, 2022 ; Singh et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19

et al. 2022

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In rapidly changing business conditions, it has become extremely important to ensure the sustainability of supply chains and further improve the resiliency to those events, such as COVID-19, that can cause unexpected disruptions in the value supply chain. Although globalized supply chains have already been criticized for lack of control over sustainability and resilience of supply chain operations, these issues have become more prevalent in the uncertain environment driven by COVID-19. The use of emerging technologies such as blockchain, Industry 4.0 analytics model and artificial intelligence driven methods are aimed at increasing the sustainability and resilience of supply chains, especially in an uncertain environment. In this context, this research aims to identify the problematic areas encountered in building a resilient and sustainable supply chain in the pre-COVID-19 era and during COVID-19, and to offer solutions to those problematic areas tackled by an appropriate emerging technology. This research has been contextualized in the automotive industry; this industry has a complex supply chain structure and is one of the sectors most affected by COVID-19. Based on the findings, the most important problematic areas encountered in SSCM pre-COVID-19 are determined as supply chain traceability, demand planning and production management as well as purchasing process planning based on cause and effect groups. The most important issues to be addressed during COVID-19 are top management support, purchasing process planning and supply chain traceability, respectively.

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Supply chain resilience in a Covid-19 scenario: Mapping capabilities in a systemic framework

Cited by 62 publications

References 32 publications

Building Resilience Attributes of Supply Chains from the Perspective of their Types

Building Resilience Attributes of Supply Chains from the Perspective of their Types

Supply Chain Recovery Strategies for High Demand Products Based on the Impact of Capacity and Transportation Disruptions

Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19

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