4 papers
Efficient Road Renovation Scheduling under Uncertainty using Lower Bound Pruning
Robbert Bosch, Patricia Rogetzer, Wouter van Heeswijk +1
Urban infrastructure degrades over time, necessitating periodic renovation to maintain functionality and safety. When renovation is delayed beyond the infrastructure's remaining li…
Deep Learning--Accelerated Multi-Start Large Neighborhood Search for Real-time Freight Bundling
Haohui Zhang, Wouter van Heeswijk, Xinyu Hu +2
Online Freight Exchange Systems (OFEX) play a crucial role in modern freight logistics by facilitating real-time matching between shippers and carrier. However, efficient combinato…
Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling
Robbert Bosch, Wouter van Heeswijk, Patricia Rogetzer +1
Accurately estimating the impact of road maintenance schedules on traffic conditions is important because maintenance operations can substantially worsen congestion if not carefull…
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates
Fabian Akkerman, Nils Knofius, Matthieu van der Heijden +1
This paper investigates dual sourcing problems with supply mode dependent failure rates, particularly relevant in managing spare parts for downtime-critical assets. To enhance resi…