Maximilian SCHIFFER

Associate Professor

Information Systems and Operations Management

schiffer@hec.fr

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Scientific articles

Contextual Stochastic Vehicle Routing with Time Windows

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

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

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

Analyzing the potentials of car-free zones in Munich

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

Ambulance demand prediction via convolutional neural networks

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

Mitigating retail platform externalities via inter-supplier returns

European Journal of Operational Research, May 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, April 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, September 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, May - June 2026, vol. 38, n° 3, pp 745-765, (in coll. with K. Jungel, A. Parmentier, T. Vidal)

It’s All in the Mix: Technology choice between driverless and human-driven vehicles in sharing systems

European Journal of Operational Research, August 2025, vol. 324, n° 3, pp 969-980, (in coll. with L. Martin, S. Minner, M. Pavone)

Proceedings

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)

Working papers

Dynamic Fee-Setting under Uncertainty in Two-Sided Marketplaces

SSRN Electronic Journal , 2025