Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions

Badakhshan, Ehsan and Ball, Peter David orcid.org/0000-0002-1256-9339 (2023) Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions. International Journal of Production Research. ISSN 0020-7543

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2023 The Author(s)

Keywords: Hybrid modelling; digital twins; supply chain disruptions; simulation; machine learning
Dates:
  • Submitted: 17 September 2022
  • Accepted: 24 July 2023
  • Published (online): 10 August 2023
Institution: The University of York
Academic Units: The University of York > Faculty of Social Sciences (York) > The York Management School
Funding Information:
FunderGrant number
EPSRCEP/T024844/1
Depositing User: Pure (York)
Date Deposited: 16 Aug 2023 09:20
Last Modified: 04 Apr 2024 23:16
Published Version: https://doi.org/10.1080/00207543.2023.2244604
Status: Published online
Refereed: Yes
Identification Number: https://doi.org/10.1080/00207543.2023.2244604

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Filename: Deploying_hybrid_modelling_to_support_the_development_of_a_digital_twin_for_supply_chain_master_planning_under_disruptions.pdf

Description: Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions

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