Abstract
The disruptive event of the COVID-19 pandemic appearing in 2020 changed the rules of how international supply chains and businesses perform. The pandemic took most of the countries and organisations by surprise, with the tragic consequences of 203 million infections and almost 4,5 million deaths worldwide until August 2021. This paper deals with the consequences of the pandemic relating to international distributed manufacturing. Generally, the risks and challenges that arise in this crisis are manifold and range from immediate health risks, isolation risks to the disruptive changes in the supply chain and manufacturing setups.
Resilience, redundancy, and flexibility are the main factors of robustness that play an important role in this crisis management. Building up robustness and resilience is proposed by applying corrective and preparative action for a wide range of production factors (people, material, processes, supply chain etc.) and a variety of risk classes (health, isolation, lockdown).
Keywords: distributed manufacturing pandemic covid-19 crisis management mitigation resilience
References
- Albach H. Theory of the Firm. Springer; Berlin, Heidelberg: 2000. Memory of Erich Gutenberg; pp. 58–66. [Google Scholar]
- Chen B., Wan J., Shu L., Li P., Mukherjee M., Yin B. Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges”. IEEE Access. 2018 [Google Scholar]
- Drucker P., Management, Harper Business (rev. ed.), 2008.
- Durach C.F., Kurpjuweit S., Wagner S. The impact of additive manufacturing on supply chains. International Journal of Physical Distribution & Logistics. 2017;47(10) [Google Scholar]
- Epple U. A Reference Architectural Model for Industrie 4.0. RWTH Aachen Univ.; 2016. [Google Scholar]
- Graham G., Singh J.S., Hennelly P., Lorentz H. Manufacturing: A new form of localized production. Intern. Journal of Operations & Prod. Management. 2020 [Google Scholar]
- Gutenberg E. Grundlagen der Betriebswirtschaft. Springer; Berlin: 1966. [Google Scholar]
- Imkamp D., Berthold J., Heizmann M., Kniel K., Manske E., Peterek M., Schmitt R., Seidler J., Sommer K.-D. Challenges and trends in manufacturing measurement techn.-the “Industrie 4.0” concept. J. Sens. Syst. 2016:5. [Google Scholar]
- Ivanov D. Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review. 2020;136 doi: 10.1016/j.tre.2020.101922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kappel G., Vieweg S. Database Requirements for CIM applications. Integrated Manufacturing Systems. 1994;5.4/5:48–63. [Google Scholar]
- Kumar A., Luthra S., Kumar M., Kazançoğlu Y. COVID-19 impact on sustainable production and operations management. Sustainable Op. and Computers; 2020. [Google Scholar]
- Locke EA. The ideas of Frederick W. Taylor: an evaluation. Academy of management review. 1982;17(1):14–24. [Google Scholar]
- Schwab K. The Fourth Industrial Revolution. Crown Publishing Group; New York: 2017. [Google Scholar]
- Steven M. Theory of the Firm. Springer; Berlin, Heidelberg: 2000. The influence of the Gutenberg production theory on production planning and control; pp. 261–281. [Google Scholar]
- Ultsch A. Proof of Pareto’s 80/20 law and Precise Limits for ABC-Analysis. Data Bionics Research Group University of Marburg/Lahn; Germany: 2002. [Google Scholar]
- Wilkinson A., Armstrong S., Lounsbury M. The Oxford Handbook of Management. Oxford University Press; 2017. [Google Scholar]