The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

Effective humanitarian relief operations are challenging in the aftermath of disasters, as
trucks are often faced with considerable travel time uncertainties due to damaged …

Downtime of industrial assets such as wind turbines and medical imaging devices is costly.
To avoid such downtime costs, companies seek to initiate maintenance just before failure …

Abstract Inventory Record Inaccuracy (IRI) is a significant challenge in inventory
management, caused by discrepancies between actual stock and inventory records due to …

We consider the canonical periodic review lost sales inventory system with positive lead
times and stochastic iid demand under the average cost criterion. We introduce a new policy …

Simulating a single trajectory of a dynamical system under some state-dependent policy is a
core bottleneck in policy optimization algorithms. The many inherently serial policy …

We study inventory planning in high-tech manufacturing supply chains driven by the
semiconductor market. Although time correlation and trends in demand fundamentally …

This thesis explores efficient route planning techniques within the transport network of Gam
Bakker. Specifically, the effectiveness of a deep reinforcement learning-based route …

Tactical decisions in spare part inventory management (ie base stock levels) are taken
based on aggregated demand and product data. On an operational level, interventions are …

This thesis addresses the tactical production-inventory planning problem in serial multi-
echelon supply chains with finite production capacity, lead times, and uncertain demand. As …