[HTML][HTML] Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem
We introduce a novel heuristic designed to address the supply chain inventory management
problem in the context of a two-echelon divergent supply chain. The proposed heuristic …
problem in the context of a two-echelon divergent supply chain. The proposed heuristic …
Inventory Planning in Capacitated High-Tech Assembly Systems Under Non-Stationary Demand
T van Dijck, T Fleuren, T Temizoz… - Available at SSRN …, 2024 - papers.ssrn.com
We study inventory planning in high-tech manufacturing supply chains driven by the
semiconductor market. Although time correlation and trends in demand fundamentally …
semiconductor market. Although time correlation and trends in demand fundamentally …
Speeding up hierarchical reinforcement learning using state-independent temporal skills
L Azadkhah, O Davoodi, M Ghazanfari, N Mozayani - 2024 - researchsquare.com
Hierarchical reinforcement learning has the potential to expedite long-term decision-making
by abstracting policies into multiple levels. Encouraging outcomes have been observed in …
by abstracting policies into multiple levels. Encouraging outcomes have been observed in …