Digital Twin Integrated Reinforced Learning in Supply Chain and Logistics
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- Ahmed Abdelghany & Khaled Abdelghany & Ching-Wen Huang, 2021. "An integrated reinforced learning and network competition analysis for calibrating airline itinerary choice models with constrained demand," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 227-247, June.
- Zhibo Pang & Qiang Chen & Weili Han & Lirong Zheng, 2015. "Value-centric design of the internet-of-things solution for food supply chain: Value creation, sensor portfolio and information fusion," Information Systems Frontiers, Springer, vol. 17(2), pages 289-319, April.
- Cavalcante, Ian M. & Frazzon, Enzo M. & Forcellini, Fernando A. & Ivanov, Dmitry, 2019. "A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing," International Journal of Information Management, Elsevier, vol. 49(C), pages 86-97.
- Reiner, Gerald & Trcka, Michael, 2004. "Customized supply chain design: Problems and alternatives for a production company in the food industry. A simulation based analysis," International Journal of Production Economics, Elsevier, vol. 89(2), pages 217-229, May.
- Tannock, James & Cao, Bing & Farr, Richard & Byrne, Mike, 2007. "Data-driven simulation of the supply-chain--Insights from the aerospace sector," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 70-84, October.
- Heilig, Leonard & Lalla-Ruiz, Eduardo & Voß, Stefan, 2017. "Multi-objective inter-terminal truck routing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 178-202.
- Dmitry Ivanov & Ajay Das, 2020. "Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: a research note," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 13(1), pages 90-102.
- Ting Qu & Matthias Thürer & Junhao Wang & Zongzhong Wang & Huan Fu & Congdong Li & George Q. Huang, 2017. "System dynamics analysis for an Internet-of-Things-enabled production logistics system," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2622-2649, May.
- Ahmed Zainul Abideen & Fazeeda Binti Mohamad, 2021. "Advancements in industrial supply chain through lean implementation - a review," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 38(1), pages 45-64.
- Ahmed Zainul Abideen & Jaafar Pyeman & Veera Pandiyan Kaliani Sundram & Ming-Lang Tseng & Shahryar Sorooshian, 2021. "Leveraging Capabilities of Technology into a Circular Supply Chain to Build Circular Business Models: A State-of-the-Art Systematic Review," Sustainability, MDPI, vol. 13(16), pages 1-26, August.
- Edgar Gutierrez-Franco & Christopher Mejia-Argueta & Luis Rabelo, 2021. "Data-Driven Methodology to Support Long-Lasting Logistics and Decision Making for Urban Last-Mile Operations," Sustainability, MDPI, vol. 13(11), pages 1-33, June.
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- Tsega Y. Melesse & Chiara Franciosi & Valentina Di Pasquale & Stefano Riemma, 2023. "Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain," Logistics, MDPI, vol. 7(2), pages 1-17, June.
- Malena Zielske & Tobias Held & Athanasios Kourouklis, 2022. "A Framework on the Use of Agile Methods in Logistics Startups," Logistics, MDPI, vol. 6(1), pages 1-21, February.
- Jiamuyan Xie, 2022. "Information Sharing in a Supply Chain with Asymmetric Competing Retailers," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
- Ekaterina V. Orlova, 2023. "Dynamic Regimes for Corporate Human Capital Development Used Reinforcement Learning Methods," Mathematics, MDPI, vol. 11(18), pages 1-22, September.
- Kabadurmus, Ozgur & Kayikci, Yaşanur & Demir, Sercan & Koc, Basar, 2023. "A data-driven decision support system with smart packaging in grocery store supply chains during outbreaks," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
- Weng Siew Lam & Weng Hoe Lam & Pei Fun Lee, 2023. "A Bibliometric Analysis of Digital Twin in the Supply Chain," Mathematics, MDPI, vol. 11(15), pages 1-24, July.
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Keywords
digital twin; data-driven technology; lean manufacturing; supply chain 4.0; reinforced learning; simulation modelling; prescriptive analysis; systematic review;All these keywords.
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