Machine learning in smart production logistics: a review of technological capabilities
Author:
Affiliation:
1. Department of Production Engineering, KTH Royal Institute of Technology, Södertälje, Sweden
2. Department of Naval Architecture and Ocean Engineering, Seoul National University, Seoul, Republic of Korea
Funder
Swedish Innovation Agency
Korea Institute for Advancement of Technology
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2024.2381145
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4. A knowledge management and sharing business model for dealing with disruption: The case of Aramex
5. Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing
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