Evaluating the impacts of COVID-19 outbreak on supply chain risks by modified failure mode and effects analysis: a case study in an automotive company.

Best–worst method COVID-19 outbreak Disruptions FMEA Supply chain risks

Journal

Annals of operations research
ISSN: 0254-5330
Titre abrégé: Ann Oper Res
Pays: United States
ID NLM: 101608624

Informations de publication

Date de publication:
31 Mar 2022
Historique:
accepted: 03 03 2022
entrez: 5 4 2022
pubmed: 6 4 2022
medline: 6 4 2022
Statut: aheadofprint

Résumé

Supply chains have been facing many disruptions due to natural and man-made disasters. Recently, the global pandemic caused by COVID-19 outbreak, has severely hit trade and investment worldwide. Companies around the world faced significant disruption in their supply chains. This study aims to explore the impacts of COVID-19 outbreak on supply chain risks (SCRs). Based on a comprehensive literature review on supply chain risk management, 70 risks are identified and listed in 7 categories including demand, supply, logistics, political, manufacturing, financial and information. Then, a modified failure mode and effects analysis (FMEA) is proposed to assess the identified SCRs, which integrates FMEA and best-worst method to provide a double effectiveness. The results demonstrate the efficiency of the proposed method, and according to the main findings, "insufficient information about demand quantities", "shortages on supply markets", "bullwhip effect", "loss of key suppliers", "transportation breakdowns", "suppliers", "on-time delivery", "government restrictions", "suppliers' temporary closure", "market demand change" and "single supply sourcing" are the top 10 SCRs during the COVID-19 outbreak, respectively. Finally, the practical implications are discussed and useful managerial insights are recommended.

Identifiants

pubmed: 35378835
doi: 10.1007/s10479-022-04651-1
pii: 4651
pmc: PMC8968776
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-31

Informations de copyright

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.

Références

Ann Oper Res. 2021 Jun 30;:1-27
pubmed: 34226781
Appl Soft Comput. 2021 Mar;100:106953
pubmed: 33519323
Ann Oper Res. 2020 Jun 16;:1-38
pubmed: 32836615
Ann Oper Res. 2021 Apr 5;:1-18
pubmed: 33840871
Ann Oper Res. 2021 Jun 12;:1-31
pubmed: 34149141
Ann Oper Res. 2021 Nov 25;:1-31
pubmed: 34848908
Ann Oper Res. 2021 Nov 17;:1-33
pubmed: 34803204
Ann Oper Res. 2020 May 22;:1-21
pubmed: 32836614
J Pharm Policy Pract. 2015 Feb 28;8(1):9
pubmed: 25838919
J Pharm Biomed Anal. 2012 May;64-65:82-6
pubmed: 22410502
Sci Total Environ. 2021 Feb 20;756:143607
pubmed: 33220997
Ann Oper Res. 2021 Jul 3;:1-21
pubmed: 34248242

Auteurs

Amir Hossein Ghadir (AH)

Faculty of Management, University of Tehran, Tehran, Iran.

Hadi Rezaei Vandchali (HR)

Australian Maritime College, University of Tasmania, Launceston, Australia.

Masoud Fallah (M)

Faculty of Management, Economics and Engineering of Progress, Iran University of Science and Technology, Tehran, Iran.

Erfan Babaee Tirkolaee (EB)

Department of Industrial Engineering, Istinye University, Istanbul, Turkey.

Classifications MeSH