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1.
Production and Operations Management ; 32(2):524-546, 2023.
Article in English | Scopus | ID: covidwho-2246480

ABSTRACT

The recent outbreak of Coronavirus disease 2019 (COVID-19) has posed serious threats and challenges to global supply chain management (GSCM). To survive the crisis, it is critical to rethink the proper setting of global supply chains and reform many related operational strategies. We hence attempt to reform the GSCM from both supply and demand sides considering different pandemic stages (i.e., pre, during, and post-pandemic stages). In this research paper, we combine a careful literature review with real-world case studies to examine the impacts and specific challenges brought by the pandemic to global supply chains. We first classify the related literature from the demand and supply sides. Based on the insights obtained, we search publicly available information and report real practices of GSCM under COVID-19 in nine top global enterprises. To achieve responsiveness, resilience, and restoration (3Rs), we then propose the "GREAT-3Rs” framework, which shows the critical issues and measures for reforming GSCM under the three pandemic stages. In particular, the "GREAT” part of the framework includes five critical domains, namely, "government proactive policies and measures,” "redesigning global supply chains,” "economic and financing strategies under risk,” "adjustment of operations,” and "technology adoption,” to help global enterprises to survive the pandemic;"3Rs” are the outputs that can be achieved after using the "GREAT” strategies under the three pandemic stages. Finally, we establish a future research agenda from five aspects. © 2022 Production and Operations Management Society.

2.
Production and Operations Management ; : 19, 2022.
Article in English | Web of Science | ID: covidwho-1621954

ABSTRACT

This paper investigates how the optimization of policymaker interventions against an epidemic disease is affected by contextual factors related to (i) a cost-centered approach to countering the epidemic, (ii) eventual correlative popular discontent, and (iii) growing social fatigue engendered by nontherapeutic interventions. Three nontherapeutic policies-mobility restrictions (MR), securing social interactions (SSI), and a combination of both (MR + SSI)-are compared in terms of effectiveness and efficiency in preventing infections and saving lives. The costs associated with these policies are economic as well as operational. The objective is to select the lowest cost policy that is the least sensitive to the cited contextual factors. In many ways, our model applies to the Covid-19 pandemic in its prevaccine phase. Our study shows the significant influence of popular discontent on epidemic control policies. We show that in contrast to the standard delayed peak strategy, which seeks to delay and flatten the epidemic peak, there is an alternative strategy, counter to conventional wisdom, which consists of accelerating the onset of the epidemic peak. Although the delayed peak strategy is contingent on popular neutrality, the advanced peak strategy results from popular discontent as a corollary of a cost-centered approach. We also find that social fatigue does not affect the social cost much but, in contrast to the controlled scenarios without social fatigue, it amplifies the peak of infections. In this context, the inclusive policy that incorporates MR + SSI mitigates the negative impact of social fatigue, although it comes at the cost of tighter restrictions than either of the exclusive policies. We conclude that, as opposed to popular discontent, social fatigue should be disregarded for the sake of greater effectiveness and efficiency in infection and death prevention. Our results can be used by policymakers to allocate resources appropriately in MR, SSI, or both and to build treatment capability.

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