Influence of COVID-19 on Manufacturing Industry and Corresponding Countermeasures from Supply Chain Perspective

doi:10.1007/s12204-020-2206-z

Abstract

Abstract: It is critical for the recovery of manufacturing industry against COVID-19 by analyzing its impact
from supply chain perspective and exploring corresponding countermeasures. Firstly, this paper studies the initial
impact caused by worldwide spread of the coronavirus, such as production disruption of raw material and spare
parts, unsatisfied market demand due to setbacks in logistics, increasing bankruptcy risk for small and mediumsized
enterprises (SMEs), and demand fluctuation enlargement. Secondly, the aftershock of COVID-19 is analyzed.
With the trend of regionalization and digitalization, two-step countermeasures are proposed to help the recovery
of manufacturing industry within the pandemic and better prepare for the post-COVID-19 world from supply
chain perspective.

Key words: COVID-19| manufacturing industry| supply chain

摘要： It is critical for the recovery of manufacturing industry against COVID-19 by analyzing its impact
from supply chain perspective and exploring corresponding countermeasures. Firstly, this paper studies the initial
impact caused by worldwide spread of the coronavirus, such as production disruption of raw material and spare
parts, unsatisfied market demand due to setbacks in logistics, increasing bankruptcy risk for small and mediumsized
enterprises (SMEs), and demand fluctuation enlargement. Secondly, the aftershock of COVID-19 is analyzed.
With the trend of regionalization and digitalization, two-step countermeasures are proposed to help the recovery
of manufacturing industry within the pandemic and better prepare for the post-COVID-19 world from supply
chain perspective.

关键词: COVID-19| manufacturing industry| supply chain

CLC Number:

F 203

CAI Min (蔡敏), LUO Jianwen (骆建文). Influence of COVID-19 on Manufacturing Industry and Corresponding Countermeasures from Supply Chain Perspective[J]. J Shanghai Jiaotong Univ Sci, 2020, 25(4): 409-416.

References 11

[1]	TALEB N N. The black swan: The impact of the highly improbable [M]. New York, USA: Random House, 2010.
[2]	WUCKER M. The gray rhino: How to recognize and act on the obvious dangers we ignore [M]. New York,USA: St. Martin’s Press, 2016.
[3]	CHENG F R. Supply chain thinking amid the COVID-19 outbreak: Lessons from beer game [J]. Bulletin of the Chinese Academy of Sciences, 2020, 35(3): 289-296 (in Chinese).
[4]	IVANOV D. Predicting the impacts of epidemic outbreaks on global supply chains: A simulationbased analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case [J]. Transportation Research Part E, 2020, 136: 101922.
[5]	HARRISON A, VAN HOEK R. Logistics management and strategy: Competing through the supply chain[M]. 3rd ed. London, UK: Pearson Education, 2008.
[6]	ROTHWELL R, ZEGVELD W. Reindustrialization and technology [M]. London, UK: Longman Group Limited, 1985.
[7]	VANDENBERG P. Adapting to the financial landscape:Evidence from small firms in Nairobi [J]. World Development, 2003, 31(11): 1829-1843.
[8]	JIANG T. The impact of epidemics on enterprises’funding: Evidences from the syndicated loan market[J]. Studies of International Finance, 2020(4): 65-75(in Chinese).
[9]	PETTIT T J, CROXTON K L, FIKSEL J. The evolution of resilience in supply chain management: A retrospective on ensuring supply chain resilience [J].Journal of Business Logistics, 2019, 40(1): 56-65.
[10]	VAN HOEK R. Exploring blockchain implementation in the supply chain: Learning from pioneers and RFID research [J]. International Journal of Operations and Production Management, 2019, 39(6/7/8): 829-859.
[11]	METTERS R. Quantifying the bullwhip effect in supply chains [J]. Journal of Operations Management,1997, 15: 89-100.

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