5 citations · 11 across the 4 of their papers we have counts for
4 papers
Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
Stefan Faulkner, Reza Zandehshahvar, Vahid Eghbal Akhlaghi +3
Accurate delivery delay prediction is critical for maintaining operational efficiency and customer satisfaction across modern supply chains. Yet the increasing complexity of logist…
PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning
Vahid Eghbal Akhlaghi, Reza Zandehshahvar, Pascal Van Hentenryck
This paper considers how to fuse Machine Learning (ML) and optimization to solve large-scale Supply Chain Planning (SCP) optimization problems. These problems can be formulated as…
Constraint Programming to Improve Hub Utilization in Autonomous Transfer Hub Networks
Chungjae Lee, Wirattawut Boonbandansook, Vahid Eghbal Akhlaghi +2
The Autonomous Transfer Hub Network (ATHN) is one of the most promising ways to adapt self-driving trucks for the freight industry. These networks use autonomous trucks for the mid…
The Flood Mitigation Problem in a Road Network
Vahid Eghbal Akhlaghi, Ann Melissa Campbell, Ibrahim Demir
Natural disasters are highly complex and unpredictable. However, long-term planning and preparedness activities can help to mitigate the consequences and reduce the damage. For exa…