4 papers · 1 filter
Causal Analysis for Time Series Foundation Models
Mathis Jander, Wouter van Heeswijk, Martijn Mes
Transitioning from bespoke time series models towards time series foundation models changes the relationship of model and application from one-to-one to one-to-many. This shift int…
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…
Learning Dynamic Selection and Pricing of Out-of-Home Deliveries
Fabian Akkerman, Peter Dieter, Martijn Mes
Home delivery failures, traffic congestion, and relatively large handling times have a negative impact on the profitability of last-mile logistics. A potential solution is the deli…