8 papers
The Distributionally Robust Cyclic Inventory Routing Problem
Menglei Jia, Albert H. Schrotenboer, Ahmadreza Marandi +1
We study the cyclic inventory routing problem that involves joint decisions on vehicle routing and inventory replenishment on an infinite, cyclic horizon. It considers a single war…
Constrained Reinforcement Learning for the Dynamic Inventory Routing Problem under Stochastic Supply and Demand
Umur Hasturk, Albert H. Schrotenboer, Kees Jan Roodbergen +1
Green hydrogen has multiple use cases and is produced from renewable energy, such as solar or wind energy. It can be stored in large quantities, decoupling renewable energy generat…
Multi-period Stochastic Network Design for Combined Natural Gas and Hydrogen Distribution
Umur Hasturk, Albert H. Schrotenboer, Kees Jan Roodbergen +1
Hydrogen is produced from water using renewable electricity. Unlike electricity, hydrogen can be stored in large quantities for long periods. This storage ability acts as a green b…
Improving After-sales Service: Deep Reinforcement Learning for Dynamic Time Slot Assignment with Commitments and Customer Preferences
Xiao Mao, Albert H. Schrotenboer, Guohua Wu +1
Problem definition: For original equipment manufacturers (OEMs), high-tech maintenance is a strategic component in after-sales services, involving close coordination between custom…
Exact Two-Step Benders Decomposition for the Time Window Assignment Traveling Salesperson Problem
Sifa Celik, Layla Martin, Albert H. Schrotenboer +1
Next-day delivery logistics services are redefining the industry by increasingly focusing on customer service. A challenge each logistics service provider faces is to jointly optim…
Hydrogen Network Expansion Planning considering the Chicken-and-egg Dilemma and Market Uncertainty
Sezen Ece Kayacık, Beste Basciftci, Albert H. Schrotenboer +2
Green hydrogen is thought to be a game changer for reaching sustainability targets. However, the transition to a green hydrogen economy faces a critical challenge known as the `chi…