Maximilian SCHIFFER

Professeur Associé

Information Systems et Operations Management

schiffer@hec.fr

FILTRER PAR

Articles scientifiques

A Note on Piecewise Affine Decision Rules for Robust, Stochastic, and Data-Driven Optimization

Operations Research, À paraître, (in coll. with S. Thomä, W. Wiesemann)

Analyzing the potentials of car-free zones in Munich

European Journal of Operational Research, À paraître, (in coll. with V. Stadnichuk, G. Walther)

Contextual Stochastic Vehicle Routing with Time Windows

INFORMS Journal on Computing, À paraître, (in coll. with B. Serrano, A. M. Florio, S. Minner, T. Vidal)

Mitigating retail platform externalities via inter-supplier returns

European Journal of Operational Research, mai 2026, vol. 331, n° 1, pp 92-107, (in coll. with C. J. Liepold, P. Amorim)

Dynamic capacity allocation of hybrid transportation units for cargo-hitching in urban public transportation systems

Transportation Research Part B: Methodological, avril 2026, vol. 206, n° 103412, (in coll. with P. Bischoff, B. Lienkamp, T. Rambha)

A decomposition-based approach for large-scale pickup and delivery problems

European Journal of Operational Research, septembre 2026, vol. 333, n° 3, pp 746-761, (in coll. with G. Hiermann)

Reproducibility in the Control of Autonomous Mobility-on-Demand Systems

IEEE Transactions on Robotics, 2026, vol. 42, pp 1428-1447, (in coll. with X. Li, M. Alharbi, D. Gammelli, J. Harrison, F. Rodrigues, M. Pavone, E. Frazzoli, J. Zhao, G. Zardini)

Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control

INFORMS Journal on Computing, mai - juin 2026, vol. 38, n° 3, pp 745-765, (in coll. with K. Jungel, A. Parmentier, T. Vidal)

Ambulance demand prediction via convolutional neural networks

Operations Research, Data Analytics and Logistics, juin 2026, vol. 46, n° 200497, (in coll. with M. Rautenstrauss)

Support vector machines with the hard-margin loss: optimal training via combinatorial Benders’ cuts

Journal of Global Optimization, mai 2025, vol. 92, n° 1, pp 205-225, (in coll. with Í. Santana, B. Serrano, T. Vidal)

Actes de conférence

Structured Reinforcement Learning for Combinatorial Decision-Making

39th annual conference on Neural Information Processing Systems , 2025 (H. HOPPE, L. BATY, L. BOUVIER, A. PARMENTIER)

Enhancement of Vendor-Managed Inventory Planning Through Deep Reinforcement Learning

2024 Winter Simulation Conference (WSC) , 2024 , Orlando (M. Ratusny, J. H. Kim, H. Sekiya, H. Ehm)

Cahiers de recherche

Dynamic Fee-Setting under Uncertainty in Two-Sided Marketplaces

SSRN Electronic Journal , 2025