Le, C.A. and Le, C.H. and Nguyen, V.D. and Zlatov, N. and Le, T.H. and Nguyen, T.A. and Chu, A.M. and Mahmud, J. and Le, V.D. and Nguyen, H.Q. and Ramesh, D. and Mengistu, S. and Behera, A. and Packianather, M.S. (2024) DIGITAL TWINS FOR REAL-TIME MONITORING AND OPERATION OF COFFEE VALUE CHAIN AND SUPPLY CHAIN. International Journal of Mechatronics and Applied Mechanics, 2024 (17). pp. 114-124.
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There has been significant effort and a growing need to develop innovative and cost-effective solutions for real-time monitoring and operation of value chains and supply chains, especially to enhance the predictability and optimisation of complex production systems for a better adaptation to disruptions and market fluctuations as well as improved sustainability. This is particularly important when taking into account the impacts and emerging advancements of smart agriculture, smart manufacturing, Digital Twins, and Industry 5.0, where data-driven solutions and AI-enabled decision-making play an important role for improving real-time monitoring, quality control and management, and operational efficiency. This study presents a conceptual framework for integrating Digital Twins into a smart agriculture platform, focusing on the real-time monitoring and operation of the coffee value chain and supply chain, to demonstrate the potential of Digital Twins in advancing smart agriculture and digital supply chains. © 2024, Cefin Publishing House. All rights reserved.
| Item Type: | Article |
|---|---|
| Divisions: | Offices > Office of International Cooperation |
| Identification Number: | 10.17683/ijomam/issue17.13 |
| Uncontrolled Keywords: | Decision making, Complex production systems; Cost-effective solutions; Digital transformation; Industry 5.0; Market fluctuations; Optimisations; Real time monitoring; Real-time operation; Smart agricultures; Value chains, Smart manufacturing |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/11423 |
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