A Reinforcement Learning Powered Digital Twin to Support Supply Chain Decisions

Simple item page
dc.contributor.authorMartin, Guillaume
dc.contributor.authorOger, Raphaƫl
dc.date.accessioned2021-12-24T17:38:33Z
dc.date.available2021-12-24T17:38:33Z
dc.date.issued2022-01-04
dc.description.abstractThe complexity of making supply chain planning decisions is growing along with the Volatility, Uncertainty, Complexity and Ambiguity of supply chain environments. As a consequence, the complexity of designing adequate decision support systems is also increasing. New approaches emerged for supporting decisions, and digital twins is one of those. Concurrently, the artificial intelligence field is growing, including approaches such as reinforcement learning. This paper explores the potential of creating digital twins with reinforcement learning capabilities. It first proposes a framework for unifying digital twins and reinforcement learning into a single approach. It then illustrates how this framework is put into practice for making supply and delivery decisions within a drug supply chain use case. Finally, the results of the experiment are compared with results given by traditional approaches, showing the applicability of the proposed framework.
dc.format.extent9 pages
dc.identifier.doi10.24251/HICSS.2022.287
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79620
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDigital and Hyperconnected Supply Chain Systems
dc.subjectdeep learning
dc.subjectdigital twin
dc.subjectreinforcement learning
dc.subjectsupply chain management
dc.titleA Reinforcement Learning Powered Digital Twin to Support Supply Chain Decisions
dc.type.dcmitext

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0228.pdf
Size:
1.32 MB
Format:
Adobe Portable Document Format
Download

Collections

Digital and Hyperconnected Supply Chain Systems