Thursday 28 November 2024, Conference Hotel Kontakt der Kontinenten, Soesterberg

09:30	Registration
09:45	Opening by Ivo Adan, scientific director Beta
10:00	Plenary talk by Tom Van Woensel (TU/e): Two-Echelon Vehicle Routing Problems: A short review, some models and directions for future research
10:45	Break
11:00	Parallel session	Parallel session	Parallel session
11:00	Ieke Schrader (UT): Performance impact of constraint variants on a MILP formulated hearing scheduling problem	Alireza Yazdani Esfidvajani (TU/e): Solving norm-based clustering using Benders decomposition	Carlos Miguel Palao (UGent): Competence-aware scheduling and operator assignment for mixed-model assembly line optimization
11:30	Arne Delaet (UHasselt): Minimising rostering deviations when re-planning home healthcare services	Iman Moosavi (TiU): Behavioral considerations of automation	Kees Maton (TU/e): “What they say is what they sell?” How account managers shape algorithm aversion and (AI) augmented decision-making performance of demand managers
12.00	Riccardo Lo Bianco (TU/e): Deep reinforcement learning for dynamic resource allocation	Joost van der Haar (KU Leuven): Supervised learning for integrated forecasting and inventory control	Tarkan Temizoz (TU/e): Zero-shot generalization in inventory management: Train, then estimate and decide
12:30	Lunch
13:30	Parallel session	Parallel session
13:30	Yijun Li (WUR): Towards a sustainable supply of underutilized cereals and beans to improve micronutrient supply in China	Gül Gündüz Mengübaş (UAntwerp): Optimizing conflict-free routing for workstation-capacitated tow trains in just-in-time assembly line feeding system
13:00	Ipek Kivanç (TU/e): Sustainable maintenance strategies for multi-component systems	Miguel Chastre (TU/e): The scheduled Joint Replenishment Problem
14:30	Break
15:00	Parallel session	Parallel session	Parallel session
15:00	Bartu Arslan (TU/e): Optimizing reusable packaging production decisions and return logistics in e-commerce	Andrea Mencaroni (UGent): Online parameter control for carbon-aware scheduling using deep reinforcement learning	Maike de Jongh (UT): Controlling the Ising model using spatiotemporal Markov decision theory
15:30	Chris Franssen (VU Amsterdam): A first-order gradient approach for the connectivity analysis of Markov chains on graphs	Tolunay Alankaya (TU/e): A deep learning approach for predicting B2B customers’ online behavior	Dawei Chen (TU/e): A reinforcement learning approach for the dynamic vehicle routing and scheduling problem with stochastic requests and time-dependent, stochastic travel times
16:00	Break
16:15	Plenary talk by Frans de Ruiter (WUR/ASML): Business-driven research in operations management and logistics: examples from ten years in academia and industry
17:00	Dinner