A state-of-the-art on production planning in Industry 4.0
Author:
Affiliation:
1. LS2N-CNRS, IMT Atlantique, Nantes, France
Funder
European Commission
H2020
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2122622
Reference204 articles.
1. Supplier Replacement Model in a One-Level Assembly System under Lead-Time Uncertainty
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3. Agostino, Ícaro Romolo Sousa, Eike Broda, Enzo M Frazzon, and Michael Freitag. 2020. “Using a Digital Twin for Production Planning and Control in Industry 4.0.” In Scheduling in Industry 4.0 and Cloud Manufacturing, 39–60. Springer.
4. Real-time prediction of order flowtimes using support vector regression
5. A bibliography of non-deterministic lot-sizing models
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