2 citations · 2 across the 3 of their papers we have counts for
3 papers
AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand Uncertainty
Jaike Van Twiller, Djordje Grbic, Rune Møller Jensen
The worldwide economy and environmental sustainability depend on eff icient and reliable supply chains, in which container shipping plays a crucial role as an environmentally frien…
Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning
Jaike van Twiller, Yossiri Adulyasak, Erick Delage +2
Reinforcement learning (RL) has successfully solved various deterministic and stochastic planning problems. However, conventional RL struggles with complex real-world constraints,…
An Efficient Integer Programming Model for Solving the Master Planning Problem of Container Vessel Stowage
Jaike van Twiller, Agnieszka Sivertsen, Rune M. Jensen +1
A crucial role of container shipping is maximizing container uptake onto vessels, optimizing the efficiency of a fundamental part of the global supply chain. In practice, liner shi…