Sustainability Strategies of Equipment Introduction and Overcapacity Risk Sharing in Mask Emergency Supply Chains during Pandemics

Chen, Haibo; Wang, Zongjun; Yu, Xuesong

doi:10.3390/su131810355

Cited by 5 publications

(4 citation statements)

References 23 publications

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“…Zhang et al [19] investigated fuzzy contingency models and robust contingency strategies for supply chain systems for stochastic distributors whose supply is disrupted by unexpected events. Chen et al [20] incorporated the FFIs and the government into the emergency supply chain of masks. The cusp mutation theory was applied to study the behavior of mask manufacturers in scaling down mask production after the onset of overcapacity.…”

Section: Management Strategy Of Emergency Supply Chainmentioning

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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Section: Management Strategy Of Emergency Supply Chainmentioning

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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“…Pradana et al [25] used the regulatory actions of the Indonesian government during the COVID-19 pandemic as an example to argue that local government, in conjunction with community organizations, plays a vital role in ensuring the stability of residents' lives. For the practice of government emergency supervision in China, Chen et al [26] brought the government and financial leasing institutions together in the mask emergency supply chain, arguing that financial institutions leasing mask production equipment to mask manufacturers with government guarantees can effectively ensure a sustainable supply of masks during a pandemic. Chen et al [27] pointed out that the COVID-19 pandemic outbreak, while conducive to the development of e-commerce, at the same time, several problems can seriously affect the interests of consumers and the urgent need for the government to strengthen the supervision of live online shopping.…”

Section: Government Emergency Supervisionmentioning

confidence: 99%

Research on Emergency Supply Chain Collaboration Based on Tripartite Evolutionary Game

Wang

et al. 2022

Sustainability

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To explore the optimal mechanism of emergency supply chain collaboration when an epidemic crisis occurs, we construct a tripartite evolutionary game model of emergency collaboration among the government, the retailer, and the supplier to explore the interaction of primary strategies and the impact of critical parameters on the evolution and stability of the system. We conduct simulation analysis based on the actual situation of China’s emergency supply chain development. The research results show that in the recognition period of the crisis, the government participates in emergency supervision and the retailer participates in emergency collaboration, but the supplier does not participate in emergency collaboration. However, in the containment period of the crisis, the government increases penalties, provides appropriate emergency subsidies, and improves the efficiency of emergency supervision, which are conducive to promoting the supplier’s participation in emergency collaboration. In the recovery period of the crisis, as the benefits of both the retailer and the supplier participation in emergency collaboration increase, the government will withdraw from emergency supervision gradually. Moreover, the weaker the risk of supply chain enterprises participating in emergency collaboration, the more reasonable the distribution of the collaboration benefits, and the more conducive to the spontaneous emergency collaboration of the retailer and the supplier.

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“…The pandemic also affected the mask industry as the demand increased, and there was panic buying for them. However, mask manufacturers are vulnerable due to challenges such as the lack of monetary funds to increase capacity and the possibility of overcapacity [119]. Therefore, manufacturers and governments should collaborate.…”

Section: Topic Modeling For Sustainabilitymentioning

confidence: 99%

Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains

2022

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The current COVID-19 pandemic has virtually disrupted supply chains worldwide. Thus, supply chain research has received significant attention. While the impacts have been immeasurable, organizations have realized the need to design strategies to overcome such unexpected events. Therefore, the supply chain research landscape has evolved to address the challenges during the pandemic. However, available literature surveys have not explored the power of text analytics. Hence, in this review, an analysis of the supply chain literature related to the impacts of COVID-19 is performed to identify the current research trends and future research avenues. To discover the frequent topics discussed in the literature, bibliometric analysis (i.e., keyword co-occurrence network) and text mining tools (i.e., N-gram analysis and topic modeling) are employed for the whole corpus and the top-three contributing journals (i.e., Sustainability, International Journal of Logistics Management, Operations Management Research). Moreover, text analytics (i.e., Term Frequency-Inverse Document Frequency: TF-IDF) is utilized to discover the distinctive topics in the corpus and per journals. A total of 574 papers published up to the first semester of 2022 were collected from the Scopus database to determine the research trends and opportunities. The keyword network identified four clusters considering the implementation of digitalization to achieve resilience and sustainability, the usage of additive manufacturing during the pandemic, the study of food supply chains, and the development of supply chain decision models to tackle the pandemic. Moreover, the segmented keyword network analysis and topic modeling were performed for the top three contributors. Although both analyses draw the research concentrations per journal, the keyword network tends to provide a more general scope, while the topic modeling gives more specific topics. Furthermore, TF-IDF scores unveiled topics rarely studied, such as the implications of the pandemic on plasma supply chains, cattle supply chains, and reshoring decisions, to mention a few. Additionally, it was observed how the different methodologies implemented allowed to complement the information provided by each method. Based on the findings, future research avenues are discussed. Therefore, this research will help supply chain practitioners and researchers to identify supply chain advancements, gaps in the literature and future research streams.

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Sustainability Strategies of Equipment Introduction and Overcapacity Risk Sharing in Mask Emergency Supply Chains during Pandemics

Cited by 5 publications

References 23 publications

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

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

Research on Emergency Supply Chain Collaboration Based on Tripartite Evolutionary Game

Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains

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