5 papers
Optimization of the Railcar Assignment Problem Using Zone-based Double Deep Reinforcement Learning
Ruonan Zhao, Joseph Geunes
Railcar switching, or shunting operations decisions play a significant role in the efficient operation of railyard systems, which are in turn critical to the fast and effective mov…
A Novel Hybrid Heuristic-Reinforcement Learning Optimization Approach for a Class of Railcar Shunting Problems
Ruonan Zhao, Joseph Geunes
Railcar shunting is a core planning task in freight railyards, where yard planners need to disassemble and reassemble groups of railcars to form outbound trains. Classification tra…
Optimizing Railcar Movements to Create Outbound Trains in a Freight Railyard
Ruonan Zhao, Joseph Geunes, Xiaofeng Nie
A typical freight railyard at a manufacturing facility contains multiple tracks used for storage, classification, and outbound train assembly. Individual railcar storage locations…
Repair Crew Routing for Infrastructure Network Restoration under Incomplete Information
Subhojit Biswas, Bahar Cavdar, Joseph Geunes
This paper considers a disrupted infrastructure network where the repair crew knows the locations of service outages but not the locations of actual faults. Our goal is to determin…
Revisiting Continuous p-Hub Location Problems with the L1 Metric
Yifan Wu, Joseph Geunes, Xiaofeng Nie
Motivated by emerging urban applications in commercial, public sector, and humanitarian logistics, we revisit continuous -hub location problems in which several facilities must…