Aller au contenu principal

Maximilian SCHIFFER

Professeur Associé

Information Systems et Operations Management

 Profile picture

Articles scientifiques

Coordinated charging station search in stochastic environments: A multiagent approach

Production and Operations Management, août 2023, vol. 32, n° 8, pp 2596-2618, (in coll. with M. Guillet)

Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements

INFORMS Journal on Computing, mai - juin 2023, vol. 35, n° 3, pp 560-577, (in coll. with D. Jalota, D. Paccagnan, M. Pavone)

Flexible assembly layouts in smart manufacturing: An impact assessment for the automotive industry

IISE Transactions, 2023, vol. 55, n° 11, pp 1144-1159, (in coll. with A. Hottenrott, M. Grunow)

Disruption evaluation in end-to-end semiconductor supply chains via interpretable machine learning

IFAC-PapersOnLine (formerly known as IFAC Proceedings Volumes), 2022, vol. 55, n° 10, pp 661-666, (in coll. with F.-M. Jaenichen, C. J. Liepold, A. Ismail, H. Ehm)

A Large Neighborhood Search for the Vehicle Routing Problem with Multiple Time Windows

Transportation Science, septembre - octobre 2022, vol. 56, n° 5, pp 1369-1392, (in coll. with H. Schaap, M. Schneider, G. Walther)

Optimal Picking Policies in E-Commerce Warehouses

Management Science, octobre 2022, vol. 68, n° 10, pp 7497-7517, (in coll. with N. Boysen, P. S. Klein, G. Laporte, M. Pavone)

Electric Vehicle Charging Station Search in Stochastic Environments

Transportation Science, mars - avril 2022, vol. 56, n° 2, pp 483-500, (in coll. with M. Guillet, G. Hiermann, A. Kröller)

Customer Order Behavior Classification Via Convolutional Neural Networks in the Semiconductor Industry

IEEE Transactions on Semiconductor Manufacturing, août 2022, vol. 35, n° 3, pp 470-477, (in coll. with M. Ratusny, H. Ehm)

A General Branch-and-Cut Framework for Rotating Workforce Scheduling

INFORMS Journal on Computing, mai - juin 2022, vol. 34, n° 3, pp 1548-1564, (in coll. with T. Becker, G. Walther)

Technical Note—Online Hypergraph Matching with Delays

Operations Research, juillet - août 2022, vol. 70, n° 4, pp 2194-2212, (in coll. with M. Pavone, A. Saberi, M. W. Tsao)

Actes de conférence

Cahiers de recherche

Articles scientifiques

Bilevel optimization for feature selection in the data-driven newsvendor problem

European Journal of Operational Research, juin 2024, vol. 315, n° 2, pp 703-714, (in coll. with B. Serrano, S. Minner, T. Vidal)

Column generation for solving large scale multi-commodity flow problems for passenger transportation

European Journal of Operational Research, avril 2024, vol. 314, n° 2, pp 703-717, (in coll. with B. Lienkamp)

Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows

Transportation Science, juillet - août 2024, vol. 58, n° 4, pp 708-725, (in coll. with L. Baty, K. Jungel, P. S. Klein, A. Parmentier)

Designing tractable piecewise affine policies for multi-stage adjustable robust optimization

Mathematical Programming, novembre 2024, vol. 208, n° 1-2, pp 661-716, (in coll. with S. Thomä, G. Walther)

Actes de conférence

Cahiers de recherche

Formation

  • Ph.D. (with honors) in Operations Research, RWTH Aachen University - Allemagne

Nominations académiques

Responsabilités académiques à HEC

  • 2026- Professeur Associé HEC Paris

Responsabilités académiques externes

  • 2022-2022 Professor for Business Analytics and Intelligent Systems Technical University of Munich_TUM

Activités scientifiques

Adhésion à l'organisation académique ou professionnelle

  • Membre : German Society of Operations Research (GOR), Institute for Operations Research and the Management Sciences (INFORMS), Deutscher Hochschullehrer Verband (DHV), Verband der Hochschullehrer für Betriebswirtschaftslehre (VHB)

Activités scientifiques

  • 2021- Editorial advisory board member (early career) Transportation Research Part C

  • Prix ​​& honneurs

    • 2025 Paper of the Year 2024 Award, INFORMS Transportation Science
    • 2025 Best Paper Award, LION19 – The 19th Learning and Intelligent Optimization Conference