A literature review on quantitative models for supply chain risk management: Can they be applied to pandemic disruptions?

Models Pandemics Risk management Supply chain Systematic literature review

Journal

Computers & industrial engineering
ISSN: 1879-0550
Titre abrégé: Comput Ind Eng
Pays: England
ID NLM: 101729445

Informations de publication

Date de publication:
Aug 2022
Historique:
pubmed: 21 6 2022
medline: 21 6 2022
entrez: 20 6 2022
Statut: ppublish

Résumé

Supply chain risk management is considered a topic of increasing interest worldwide and its focus has evolved over time. The recent coronavirus pandemic (known as COVID-19) has forced business to handle a new global crisis and rapidly adapt to unexpected challenges. In an attempt to help companies counteract the pandemic risk, as well as to fuel the scientific discussion about this topic, this paper proposes a systematic literature review on risk management and disruptions in the supply chain focusing on quantitative models and paying a particular attention to highlighting the potentials of the studies reviewed for being applied to counteract pandemic emergencies. An appropriate query was made on Scopus and returned, after a manual screening, a useful set of 99 papers that proposed models for supply chain risk management. The relevant aspects of pandemics risk management have been first identified and mapped; then, the studies reviewed have been analysed with the aim of evaluating their suitability of being applied to sanitary crises. In carrying out this review of the literature, the study moves from previous, more general, reviews about risk management and updates them, starting from the lines of research that have been covered in recent years and evaluating their consistency with future research directions emerging also as a consequence of the pandemic crisis. Gaps and limitations of the existing models are identified and future research directions for pandemics risk management are suggested.

Identifiants

pubmed: 35722204
doi: 10.1016/j.cie.2022.108329
pii: S0360-8352(22)00382-5
pmc: PMC9197564
doi:

Types de publication

Journal Article

Langues

eng

Pagination

108329

Informations de copyright

© 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Références

One Health. 2020 Dec 20;11:100180
pubmed: 33072836
Aust Health Rev. 2007 Apr;31 Suppl 1:S86-97
pubmed: 17402910
Technol Forecast Soc Change. 2021 Feb;163:120447
pubmed: 33518818
Pediatr Res. 2004 Jul;56(1):1-5
pubmed: 15152053
Reliab Eng Syst Saf. 2020 Dec;204:107142
pubmed: 33132538
Sci Rep. 2019 Sep 19;9(1):13559
pubmed: 31537847
Comput Biol Chem. 2009 Feb;33(1):22-8
pubmed: 18755631
Int J Health Care Qual Assur. 2012;25(3):197-215
pubmed: 22755475
Eur J Oper Res. 2021 Jun 16;291(3):1117-1131
pubmed: 33071441
Mater Des. 2020 Jul;192:108749
pubmed: 32341616
Accid Anal Prev. 2019 Feb;123:399-410
pubmed: 27268935

Auteurs

Marta Rinaldi (M)

Department of Engineering, University of Campania "Luigi Vanvitelli", via Roma 29, 81031 Aversa, Italy.

Teresa Murino (T)

Department of Chemical, Materials and Industrial Production Engineering (DICMAPI), University of Naples Federico II, Piazzale V. Tecchio 80, Napoli 80125, Italy.

Elisa Gebennini (E)

Faculty of Economics, Universitas Mercatorum, Piazza Mattei, 10, Rome 00186, Italy.

Donato Morea (D)

Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, via Marengo, 2, 09123 Cagliari, Italy.

Eleonora Bottani (E)

Department of Engineering and Architecture, University of Parma, viale delle Scienze 181/A, 43124 Parma, Italy.

Classifications MeSH