Supply Chain

The Supply Chain group gathers a critical mass of faculty, researchers and experts in the field "Supply Chain Management" (SCM). The definition of SCM is interpreted broadly to cover all aspects of production, logistics and the supplier relations. It combines operations management, management science and industrial organization in a systematic attempt to understand, model and support the multi-level organizational behavior.

Research is in particular oriented towards:

  • empirical analysis, the economic and systemic modeling of inter-organizational relations
  • the study and development of methodologies and techniques for the decision support systems at all hierarchical levels of the chain
  • the study, modeling and optimization of systems of decentralized or distributed coordination.

Mission

The purpose of the group is to bring to industrial firms new methods, new management practices which will help them face the future challenges of logistics and supply chain management at top and middle managerial levels. The focus is on solving issues occurring in day-to-day operations as well as to help devise new strategies.


Journal Articles


1. Dehaybe, Henri; Catanzaro, Daniele; Chevalier, Philippe. Deep Reinforcement Learning for Inventory Optimization with Non-Stationary Uncertain Demand. In: European Journal of Operational Research, (2023). doi:10.1016/j.ejor.2023.10.007 (Accepté/Sous presse). http://hdl.handle.net/2078.1/278584

2. Herrera Rodriguez, Manuel; Agrell, Per Joakim; Manrique-de-Lara-Peñate, Casiano; Trujillo, Lourdes. A multi-criteria fleet deployment model for cost, time and environmental impact. In: International Journal of Production Economics, Vol. 243 (2022). doi:10.1016/j.ijpe.2021.108325 (Accepté/Sous presse). http://hdl.handle.net/2078.1/251789

3. Agra, Agostinho; Christiansen, Marielle; Wolsey, Laurence. Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries. In: European Journal of Operational Research, Vol. 297, no. 1, p. 164-179 (2022). doi:10.1016/j.ejor.2021.04.027. http://hdl.handle.net/2078.1/250138