172 citations · 189 across the 8 of their papers we have counts for
8 papers
A Policy Decomposition Framework for Dynamic Order Fulfillment Operations
Gal Neria, Michal Tzur, Marlin W. Ulmer
Modern supply chains span diverse operational environments, ranging from e-commerce distribution networks to customized production-to-order manufacturing lines. Across these settin…
To Start Up a Start-UpEmbedding Strategic Demand Development in Operational On-Demand Fulfillment via Reinforcement Learning with Information Shaping
Xinwei Chen, Marlin W. Ulmer, Barrett W. Thomas
The last few years have witnessed rapid growth in the on-demand delivery market, with many start-ups entering the field. However, not all of these start-ups have succeeded due to v…
Learning State-Dependent Policy Parametrizations for Dynamic Technician Routing with Rework
Jonas Stein, Florentin D Hildebrandt, Barrett W Thomas +1
Home repair and installation services require technicians to visit customers and resolve tasks of different complexity. Technicians often have heterogeneous skills and working expe…
The Restaurant Meal Delivery Problem with Ghost Kitchens
Gal Neria, Florentin D Hildebrandt, Michal Tzur +1
Restaurant meal delivery has been rapidly growing in the last few years. The main challenges in operating it are the temporally and spatially dispersed stochastic demand that arriv…
Fighting the E-commerce Giants: Efficient Routing and Effective Consolidation for Local Delivery Platforms
Albert H. Schrotenboer, Michiel A. J. Uit het Broek, Paul Buijs +1
Local delivery platforms are collaborative undertakings where local stores offer instant-delivery to local customers ordering their products online. Offering such delivery services…
Where the Action is: Let's make Reinforcement Learning for Stochastic Dynamic Vehicle Routing Problems work!
Florentin D Hildebrandt, Barrett Thomas, Marlin W Ulmer
There has been a paradigm-shift in urban logistic services in the last years; demand for real-time, instant mobility and delivery services grows. This poses new challenges to logis…
Same-Day Delivery with Fairness
Xinwei Chen, Tong Wang, Barrett W. Thomas +1
The demand for same-day delivery (SDD) has increased rapidly in the last few years and has particularly boomed during the COVID-19 pandemic. The fast growth is not without its chal…
Deep Q-Learning for Same-Day Delivery with Vehicles and Drones
Xinwei Chen, Marlin W. Ulmer, Barrett W. Thomas
In this paper, we consider same-day delivery with vehicles and drones. Customers make delivery requests over the course of the day, and the dispatcher dynamically dispatches vehicl…