Modelling the Impact of COVID-19 Pandemic on a Hardware Retail Supply Chain

Sathyanarayana, A; Shukla, N; Taghikhah, F

Modelling the Impact of COVID-19 Pandemic on a Hardware Retail Supply Chain

Sathyanarayana, A Shukla, N

Taghikhah, F

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Industrial Engineering and Engineering Management, 2020, 2020-December, pp. 807-811
Issue Date:: 2020-12-14

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Field	Value	Language
dc.contributor.author	Sathyanarayana, A
dc.contributor.author	Shukla, N https://orcid.org/0000-0002-8421-3972
dc.contributor.author	Taghikhah, F
dc.date	2020-12-14
dc.date.accessioned	2021-02-26T03:34:14Z
dc.date.available	2021-02-26T03:34:14Z
dc.date.issued	2020-12-14
dc.identifier.citation	IEEE International Conference on Industrial Engineering and Engineering Management, 2020, 2020-December, pp. 807-811
dc.identifier.isbn	9781538672204
dc.identifier.issn	2157-3611
dc.identifier.issn	2157-362X
dc.identifier.uri	http://hdl.handle.net/10453/146481
dc.description.abstract	© 2020 IEEE. Due to the current COVID-19 (SARS-CoV-2) outbreak, supply chains have been severely disrupted in long term globally. In this paper, we present the results of a simulation study conducted on a case of the global supply chain. We have discussed the impact of COVID19 on the supply chains by citing some recent examples in the retail sector in Australia. We demonstrate the use of simulation modelling to quickly and reliably model and analyze supply chain disruptions through the use of anyLogistix simulation software. In this paper, we have simulated a case of an Australian hardware retail supply chain that has a global supply network. We have investigated the impact of COVID19 disruptions on the supply chain performance. Our results highlighted the importance of waiting order cancellation strategy in the recovery period for reducing supply chain costs and maintaining service level. We also discussed the negative effect of distance between supplier and customer on the resiliency of delivery systems. This initial work was a proof of concept to simulate COVID19 disruptions on a retail supply chain.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	IEEE International Conference on Industrial Engineering and Engineering Management
dc.relation.ispartof	2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
dc.relation.isbasedon	10.1109/IEEM45057.2020.9309973
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Modelling the Impact of COVID-19 Pandemic on a Hardware Retail Supply Chain
dc.type	Conference Proceeding
utslib.citation.volume	2020-December
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2021-02-26T03:34:13Z
pubs.finish-date	2020-12-17
pubs.publication-status	Published
pubs.start-date	2020-12-14
pubs.volume	2020-December

Abstract:

© 2020 IEEE. Due to the current COVID-19 (SARS-CoV-2) outbreak, supply chains have been severely disrupted in long term globally. In this paper, we present the results of a simulation study conducted on a case of the global supply chain. We have discussed the impact of COVID19 on the supply chains by citing some recent examples in the retail sector in Australia. We demonstrate the use of simulation modelling to quickly and reliably model and analyze supply chain disruptions through the use of anyLogistix simulation software. In this paper, we have simulated a case of an Australian hardware retail supply chain that has a global supply network. We have investigated the impact of COVID19 disruptions on the supply chain performance. Our results highlighted the importance of waiting order cancellation strategy in the recovery period for reducing supply chain costs and maintaining service level. We also discussed the negative effect of distance between supplier and customer on the resiliency of delivery systems. This initial work was a proof of concept to simulate COVID19 disruptions on a retail supply chain.

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http://hdl.handle.net/10453/146481