Expertise

Sequential Decision Problems with Uncertain Information
Logistics and Vehicle Routing
Operations and Supply Chain Management

Submitted & Working Papers

Gamifying the Vehicle Routing Problem with Stochastic Requests, with Nicholas D. Kullman, Nikita Dudorov, Martin Cousineau, Jorge E. Mendoza, & Clément Grodecoeur.
Bounded Backward Induction for Max-Min Dynamic Programs, with Luca Bertazzi.
Capacity Management for Crowdsourced Delivery, with Shu Zhang & Zhiwei Zhang.
Truck Scheduling with Estimated Arrival Times, with Maximiliano Cubillos, Ola Jabali, & Elena Tappia.

Published Papers

Optimal Service Time Windows, with Marlin W. Ulmer & Barrett W. Thomas. To appear in Transportation Science.
Spatial Optimization to Improve COVID-19 Vaccine Allocation, with Steve Scroggins, Enbal Shacham, & Tasnova Afroze. Vaccines, 2023:11(1).
Dynamic Ridehailing with Electric Vehicles, with Nicholas D. Kullman, Martin Cousineau, & Jorge E. Mendoza. Transportation Science, 2022:56(3), 567-798. 2023 Transportation Science Paper of the Year.
frvcpy: An Open-Source Solver for the Fixed Route Vehicle Charging Problem, with Nicholas D. Kullman, Aurelien Froger, & Jorge E. Mendoza. INFORMS Journal on Computing, 2021:33(4), 1259-1684.
Electric Vehicle Routing with Public Charging Stations, with Nicholas D. Kullman & Jorge E. Mendoza. Transportation Science, 2021:55(3), 637-659. 2022 INFORMS Transportation Science & Logistics Society Best Paper Award Honorable Mention.
On Modeling Stochastic Dynamic Vehicle Routing Problems, with Marlin W. Ulmer, Dirk C. Mattfeld, & Barrett W. Thomas. EURO Journal on Transportation and Logistics, 2020:9(2), 100008.
Offline-Online Approximate Dynamic Programming for Dynamic Vehicle Routing with Stochastic Requests, with Marlin W. Ulmer, Dirk C. Mattfeld, & Marco Hennig. Transportation Science, 2019:53(1), 185-202. Reprinted in 2021 virtual special issue A Deeper Look at Transportation Science by Topic Area.
A Rollout Algorithm Framework for Heuristic Solutions to Finite-Horizon Stochastic Dynamic Programs, with Barrett W. Thomas & Jeffrey W. Ohlmann. European Journal of Operational Research, 2017:258(1), 216-229.
Partnering with Practice: How Partnerships can be Developed, Shared, and Managed, with Don Hardaway, Roel Harryvan, & Frank Wang. Communications of the Association for Information Systems, 2016:38(6), 145-156.
Restocking-Based Rollout Policies for the Vehicle Routing Problem with Stochastic Demand and Duration Limits, with Barrett W. Thomas & Jeffrey W. Ohlmann. Transportation Science, 2016:50(2), 591-607.
A Rollout Algorithm for Vehicle Routing with Stochastic Customer Requests, with Marlin W. Ulmer, Dirk C. Mattfeld & Marco Henig. Logistics Management, 2016, 217-227.
Election Day Routing of Rapid Response Attorneys, Justin C. Goodson. Information Systems and Operational Research, 2014:52(1), 1-9.
Rollout Policies for Dynamic Solutions to the Multi-Vehicle Routing Problem with Stochastic Demand and Duration Limits, with Jeffrey W. Ohlmann & Barrett W. Thomas. Operations Research, 2013:61(1), 138-154.
Cyclic-Order Neighborhoods with Application to the Vehicle Routing Problem with Stochastic Demand, with Jeffrey W. Ohlmann & Barrett W. Thomas. European Journal of Operational Research, 2012:217(2), 312-323.
Assessing Nursing Home Care Quality Through Bayesian Networks, with Wooseung Jang. Health Care Management Science, 2008:11(4), 382-392.
Nursing Home Care Quality: Insights from a Bayesian Network Approach, with Wooseung Jang & Marilyn Rantz. The Gerontologist, 48(3), 338-348.

Software

frvcpy: An Open-Source Solver for the FRVCP, with Nicholas D. Kullman, Aurelien Froger, & Jorge E. Mendoza. Python Package Index.
Djinni: A Templatized C++ Framework with Python Bindings for Heuristic Search, with Robert Hansen, Tristan Thiede, Jeffrey W. Ohlmann, & Barrett W. Thomas. Computational Infrastructure for Operations Research (COIN-OR).

Honors

2023 Transportation Science Paper of the Year
2022 INFORMS Transportation Science & Logistics Society Best Paper Award Honorable Mention
2021 Best Dissertation on Transportation and Logistics (GT2L's Meilleure thèse en transport et logistique), French Operational Research Society (Entrant: Nicholas D. Kullman)
Justin C. Goodson