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dc.contributor.authorAli, SI
dc.date.accessioned2024-04-12T11:23:53Z
dc.date.available2024-04-12T11:23:53Z
dc.date.issued2020-07-22
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/96120
dc.description.abstractBusiness leaders talk about disruptive technologies and digital transformation for value creation. The digitalisation of industry is gaining momentum in supply chain amid the COVID-19 environment. Digitalisation has facilitated supply chains to access, store, and process massive amounts of internal and external data. This big data, in turn, has enhanced the predictive and prescriptive accuracy of solutions. The focus of this article is on digital twin technology, which is driving sensor-enabled real-time data interaction and bringing the physical and digital worlds together. Advanced analytics and machine learning algorithms are very useful in the digital twin to create complex what-if scenarios. These scenarios are then mapped out to the supply chain to attain best operational conditions to manage disruptions.en_US
dc.publisherThe Future Factoryen_US
dc.subjectDisruptionen_US
dc.subjectDigital Twinen_US
dc.subjectSupply Chainen_US
dc.subjectCritical Success Factorsen_US
dc.titleManaging Disruptions: The Digital Twin For Supply Chainen_US
pubs.notesNot knownen_US
pubs.publication-statusPublished onlineen_US
pubs.publisher-urlhttps://www.thefuturefactory.com/blog/59en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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