Dynamic supply chain risk management plans for mitigating the impacts of the COVID-19 pandemic

Rahman, T; Paul, SK; Shukla, N; Agarwal, R; Taghikhah, F

Dynamic supply chain risk management plans for mitigating the impacts of the COVID-19 pandemic

Rahman, T Paul, SK Shukla, N Agarwal, R

Taghikhah, F

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Publisher:: Taylor and Francis Group
Publication Type:: Journal Article
Citation:: International Journal of Systems Science: Operations and Logistics, 2023, 10, (1)
Issue Date:: 2023-12-31

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Field	Value	Language
dc.contributor.author	Rahman, T
dc.contributor.author	Paul, SK
dc.contributor.author	Shukla, N
dc.contributor.author	Agarwal, R https://orcid.org/0000-0002-8493-7313
dc.contributor.author	Taghikhah, F https://orcid.org/0000-0002-0851-6816
dc.date.accessioned	2024-03-21T21:09:09Z
dc.date.available	2024-03-21T21:09:09Z
dc.date.issued	2023-12-31
dc.identifier.citation	International Journal of Systems Science: Operations and Logistics, 2023, 10, (1)
dc.identifier.issn	2330-2674
dc.identifier.issn	2330-2682
dc.identifier.uri	http://hdl.handle.net/10453/176980
dc.description.abstract	COVID-19 pandemic prompted supply chain (SC) disruptions and heightened demand for crucial items like facemasks and ventilators. Lockdowns and border closures hindered raw material supply and manufacturing capacity expansion. Consequently, manufacturers faced challenges in inventory, transport, and delivery, resulting in higher shortage costs, elevated SC expenses, and reduced SC efficacy. Using an integrated agent-based model (ABM) and optimisation, this paper examines COVID-19's multifaceted impacts on facemask SCs. It assesses four primary resilience strategies: enhancing manufacturing capacity, improving raw material supply, increasing transportation and distribution facilities, and maintaining dynamic inventory policy. Moreover, the model tested the proposed strategies under different scenarios by optimising the inventory policy and transportation strategies, leading to improved facemask production and delivery during extreme events. Our study found that increased production capacity through an optimal inventory and transportation strategy for a long period reduced the multiple impacts of the pandemic on facemask SCs, resulting in diminished total SC costs and increased consumer access to finished products. Based on demand forecasts, maintaining dynamically optimal reordering points and order up to levels can help maximise raw material supply and inventory levels, thereby minimising risks. Using these findings, future risks related to outbreaks and pandemics can be more effectively planned.
dc.language	en
dc.publisher	Taylor and Francis Group
dc.relation.ispartof	International Journal of Systems Science: Operations and Logistics
dc.relation.isbasedon	10.1080/23302674.2023.2249815
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.rights	This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Systems Science: Operations and Logistics on 24 Aug 2023, available online: http://www.tandfonline.com/10.1080/23302674.2023.2249815
dc.subject	0102 Applied Mathematics, 0915 Interdisciplinary Engineering
dc.subject.classification	4901 Applied mathematics
dc.title	Dynamic supply chain risk management plans for mitigating the impacts of the COVID-19 pandemic
dc.type	Journal Article
utslib.citation.volume	10
utslib.for	0102 Applied Mathematics
utslib.for	0915 Interdisciplinary Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Arts and Social Sciences
pubs.organisational-group	University of Technology Sydney/Faculty of Business
pubs.organisational-group	University of Technology Sydney/Faculty of Business/Management Discipline
pubs.organisational-group	University of Technology Sydney/Faculty of Arts and Social Sciences/School of Communication
pubs.organisational-group	University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
utslib.copyright.embargo	2024-08-24T00:00:00+1000Z
dc.date.updated	2024-03-21T21:09:07Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	10
utslib.citation.issue	1

Abstract:

COVID-19 pandemic prompted supply chain (SC) disruptions and heightened demand for crucial items like facemasks and ventilators. Lockdowns and border closures hindered raw material supply and manufacturing capacity expansion. Consequently, manufacturers faced challenges in inventory, transport, and delivery, resulting in higher shortage costs, elevated SC expenses, and reduced SC efficacy. Using an integrated agent-based model (ABM) and optimisation, this paper examines COVID-19's multifaceted impacts on facemask SCs. It assesses four primary resilience strategies: enhancing manufacturing capacity, improving raw material supply, increasing transportation and distribution facilities, and maintaining dynamic inventory policy. Moreover, the model tested the proposed strategies under different scenarios by optimising the inventory policy and transportation strategies, leading to improved facemask production and delivery during extreme events. Our study found that increased production capacity through an optimal inventory and transportation strategy for a long period reduced the multiple impacts of the pandemic on facemask SCs, resulting in diminished total SC costs and increased consumer access to finished products. Based on demand forecasts, maintaining dynamically optimal reordering points and order up to levels can help maximise raw material supply and inventory levels, thereby minimising risks. Using these findings, future risks related to outbreaks and pandemics can be more effectively planned.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/176980