Intelligent supply chains through implementation of digital twins

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dc.contributor.authorKulaç, Oray
dc.contributor.authorEkren, Banu Y.
dc.contributor.authorToy, Özgür
dc.date.accessioned2022-07-27T10:31:37Z
dc.date.available2022-07-27T10:31:37Z
dc.date.issued2022-07-05
dc.description.abstractData-driven decision-making process can be defined to be the sequential activities of real-time data collection, data analytics, optimization and decision making. Developments in Industry 4.0 technologies have made it possible to realize that new quality decision-making process. When that decision-making process is performed under the simulation model of a system developed on real-time data-based and end-to-end connection manner, to prevent the disruption risks and to improve resilience in a system, then it constitutes a digital twin (DT). A DT is a virtual representation of an object or system that can help organizations monitor operations, perform predictive analytics, and improve processes. For instance, a DT could provide a digital replica of the operations of a factory, communications network, or the flow of goods through a supply chain system. In this work, we focus on DT implementations in supply chain networks. We present state of the art implementation of DTs in supply chains and their prospective utilizations towards creating intelligent supply chains.en_UK
dc.identifier.citationKulaç O, Ekren BY, Toy AO. (2022) Intelligent supply chains through implementation of digital twins. In: Intelligent and Fuzzy Systems: Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 504, Springer, pp. 957-964en_UK
dc.identifier.eisbn2367-3389
dc.identifier.isbn9783031091735
dc.identifier.issn2367-3370
dc.identifier.urihttps://doi.org/10.1007/978-3-031-09173-5_109
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18234
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.subjectDigital twinen_UK
dc.subjectSupply Chain Managementen_UK
dc.subjectData-driven decision makingen_UK
dc.titleIntelligent supply chains through implementation of digital twinsen_UK
dc.typeBook chapteren_UK

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