[HTML][HTML] Enhancing supply chain management with deep learning and machine learning techniques: A review

AM Khedr - Journal of Open Innovation: Technology, Market, and …, 2024 - Elsevier
Supply chain management (SCM) is crucial in establishing long-term partnerships that are
pivotal for achieving sustained business success. Effective SCM demands rigorous criteria …

Hierarchical production control and distribution planning under retail uncertainty with reinforcement learning

Y Deng, AHF Chow, Y Yan, Z Su, Z Zhou… - International Journal of …, 2025 - Taylor & Francis
Effective coordination between production control and distribution planning is critical in
supply chain management. However, existing research mainly focuses on responding to …

[HTML][HTML] Data-driven robust optimisation of hydrogen infrastructure planning under demand uncertainty using a hybrid decomposition method

X Zhou, ME Efthymiadou, LG Papageorgiou… - Applied Energy, 2024 - Elsevier
In the race towards “Net-zero”, hydrogen has emerged as one of the key alternatives to
carbon-based fossil fuels for a sustainable decarbonisation. This work studies the spatially …

Statistical Properties of Robust Satisficing

Z Li, Y Xu, R Zhan - arXiv preprint arXiv:2405.20451, 2024 - arxiv.org
The Robust Satisficing (RS) model is an emerging approach to robust optimization, offering
streamlined procedures and robust generalization across various applications. However, the …

Coordinated Optimisation of Inventory Planning and Scheduling in Supply Chains in the Presence of Uncertainty

D Petrovic, M Kalata - Available at SSRN 4927908 - papers.ssrn.com
SC inventory and scheduling have received a lot of interest in academia and industry.
However, the methods developed so far have mainly optimised inventory and scheduling …