Digital twin model with machine learning and optimization for resilient production–distribution systems under disruptions-Reference-Cited by-同舟云学术

Digital twin model with machine learning and optimization for resilient production–distribution systems under disruptions

Published:2024-05 Issue: Volume:191 Page:110145
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Corsini Roberto Rosario,Costa Antonio^ORCID,Fichera Sergio,Framinan Jose M.

Funder

Horizon 2020 Framework Programme

Ministerio de Ciencia e Innovación

European Commission

University of Catania

Spain Ministry of Science and Innovation

Publisher

Elsevier BV

Reference82 articles.

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3. The application of digital twin technology in operations and supply chain management: A bibliometric review;Bhandal;Supply Chain Management: An International Journal.,2022

4. How have digital technologies facilitated supply chain resilience in the COVID-19 pandemic? An exploratory case study;Birkel;Computers & Industrial Engineering,2023

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1. On Order Smoothing Interpolating the Order-Up-To and Constant Order Policies;2024

2. Contributions of Digital Twins Services to the Implementation of the Circular Economy;IFIP Advances in Information and Communication Technology;2024