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Wednesday, September 25, 2024
| Time | Event | (+) |
| 08:45 - 09:30 | Opening Session - . | |
| 09:30 - 10:45 | Solution Methods for Optimization Problems under Uncertainty in Logistics and Transportation (Amphitheater) - Francesca Maggioni - University of Bergamo - Italy | |
| 10:45 - 11:15 | Coffee break | |
| 11:15 - 12:30 | WA1 - Mobility (Amphitheater) - Dongyang Xia | (+) |
| 11:15 - 11:35 | › A simheuristic solution approach for the integrated freight and passenger transportation utilizing a ferry service - Charlotte Ackva, Otto von Guerike Universität Magdeburg | |
| 11:40 - 12:00 | › Optimizing Non-disrupted Lines Schedule and Spare Train Deployment for Urban Rail Transit Disruptions Management: Stochastic Programming Model - Lebing Wang, Shanghai Jiao Tong University | |
| 12:05 - 12:25 | › Integrated timetabling, vehicle scheduling, and dynamic capacity allocation of modular autonomous vehicles under demand uncertainty - Dongyang Xia, Delft University of Technology | |
| 11:15 - 12:30 | WA2 - Warehouse Logistics (Room ABC) - Christoph Defryn | (+) |
| 11:15 - 11:35 | › A new simheuristic for stochastic cross-dock scheduling problem with time windows under uncertainty - Wei Yang, Northwestern Polytechnical University [Xián], LERIA Angers | |
| 11:40 - 12:00 | › Beyond the Cart: Analyzing Fulfillment Dynamics in On-Demand Grocery Delivery Systems - Jelmer Pier Van der Gaast, Fudan University | |
| 12:05 - 12:25 | › SKU repositioning in anticipatory order picking - Christof Defryn, University of Antwerpen | |
| 12:30 - 13:30 | Lunch (Hall) | |
| 13:30 - 15:00 | WB1 - Service Network Design (Amphitheater) - Tal Raviv | (+) |
| 13:30 - 13:50 | › Integrating uncertain travel times in the Service Network Scheduling Problem with Hub Processing Capacities - Guillaume Joubert, LS2N, IMT Atlantique, Nantes | |
| 13:50 - 14:10 | › Optimizing Continuous-Time Service Network Design under Travel Time Uncertainty via Robust Satisficing - Zhou Xu, Hong Kong Polytechnic University | |
| 14:15 - 14:35 | › Hub Location and Service Network Design under Uncertainty - Hao Li, University of Waterloo | |
| 14:35 - 14:55 | › Service Network Design in Hyper-Connected Networks with Variable Loading and Unloading Times - Gabriel Deza, Tel Aviv University | |
| 13:30 - 15:00 | WB2 - Dynamic Optimization I (Room ABC) - Jarmo Haferkamp | (+) |
| 13:30 - 13:50 | › Analysis of a pick-up and delivery system that uses lockers and crowdshipping to meet random requests - Sara Stoia, University of Calabria | |
| 13:50 - 14:10 | › Adaptive stochastic lookahead policies for dynamic multi-period purchasing and inventory routing - Marlin Ulmer, Otto von Guericke Universität Magdeburg | |
| 14:15 - 14:35 | › Anticipatory Real Time Operations of Ghost Kitchens - Gal Neria, Tel Aviv University | |
| 14:35 - 14:55 | › Anticipatory Re-Optimization for Medical Courier Services - Jarmo Haferkamp, Otto von Guericke Universität Magdeburg | |
| 16:30 - 18:00 | Guided City tour - A guided city tour in the city center | |
| 16:30 - 18:30 | Tree Climbing - Cancelled due to weather conditions. Registered participants can jointhe city visit. |
Thursday, September 26, 2024
| Time | Event | (+) |
| 09:00 - 10:15 | TA1 - Pricing (Amphitheater) - Markus Leitner | (+) |
| 09:00 - 09:20 | › Crowdshipping Problem with Dynamic Compensations and Transshipments - Baris Yildiz, Koç University | |
| 09:25 - 09:45 | › Data-driven optimization of pricing and vehicle relocation for ridesourcing platforms considering reservation - Xiaoshu Ding, The Hong Kong University of Science and Technology | |
| 09:50 - 10:10 | › Pricing and bundling decisions considering driver behavior in crowdsourced delivery - Markus Leitner, Vrije Universiteit Amsterdam | |
| 09:00 - 10:15 | TA2 - Learning Methods I (Room ABC) - Pirmin Fontaine | (+) |
| 09:00 - 09:20 | › A Cost Focused Machine Learning framework for replenishment decisions under transportation cost uncertainty - Pirmin Fontaine, Catholic University of Eichstätt-Ingolstadt | |
| 09:25 - 09:45 | › Real-Time Routing Cost Predictions for Time Slot Management - Gustavo Hurovich, Rotterdam School of Management, Erasmus University | |
| 09:50 - 10:10 | › Multistage vehicle routing with stochastic demand and decision-dependent learning using a single scenario set - Stein W Wallace, NHH Norwegian School of Economics | |
| 10:15 - 10:45 | Coffee break (Hall) | |
| 10:45 - 12:00 | Questions! (What questions should we be asking as a transportation science and logistics society?) (Amphitheater) - Remy Spliet - Erasmus University, Rotterdam - The Netherlands | |
| 12:00 - 12:15 | Beautiful Group Picture | |
| 12:15 - 13:15 | Lunch (Hall) | |
| 13:15 - 14:45 | TB1 - Last-Mile Logistics I (Amphitheater) - David Rey | (+) |
| 13:15 - 13:35 | › A Reinforcement Learning Approach for Lead Vehicle Routing in a Semi-Autonomous Last-Mile Transportation System - Avital Shamir, Tel Aviv University | |
| 14:00 - 14:20 | › Uncertainty in Service Times: Customer-Driver Interaction in Last-Mile Delivery - Christian Truden, University of Klagenfurt | |
| 14:20 - 14:40 | › A bilevel two-echelon multi-commodity routing problem to facilitate greener last-mile logistics - David Rey, SKEMA Business School | |
| 13:15 - 14:45 | TB2 - Vehicle Routing Problems (Room ABC) - Giuseppe Stecca | (+) |
| 13:15 - 13:35 | › Approximating the recourse cost of stochastic vehicle routing problems - Matheus Ota, University of Waterloo | |
| 13:35 - 13:55 | › Explorable Uncertainty in Stochastic Vehicle Routing with Time Windows - Kerscher Christoph, Technical University Munich | |
| 14:00 - 14:20 | › Periodicity in satellite's trajectories as a tool for improved in-orbit servicing scheduling problems - Pieter Deleye, University of Antwerpen | |
| 14:20 - 14:40 | › Waste collection routing problem with stochastic time-dependent demand increment - Giuseppe Stecca, Istituto di Analisi dei Sistemi ed Informatica | |
| 14:45 - 15:15 | Coffee break (Hall) | |
| 15:15 - 16:30 | TC1 - Robust Optimization (Amphitheater) - Ricardo Soares | (+) |
| 15:15 - 15:35 | › Robust Policies for a Multi-Period Fleet Sizing Problem under Demand Uncertainty - Alice Raffaele, University of Calabria | |
| 15:35 - 15:55 | › The robust time-dependent vehicle routing problem with time-windows and budget uncertainty - Igor Malheiros, Atoptima | |
| 16:00 - 16:20 | › A robust optimization approach for the vehicle routing problem with synchronization - Ricardo Soares, INESC TEC, University of Porto | |
| 15:15 - 16:30 | TC2 - Dynamic Optimization II (Room ABC) - Bilge Atasoy | (+) |
| 15:15 - 15:35 | › Dynamic Fare Enforcement Model for a Bus Transportation Network - Sinha Pankaj, Norwegian School of Economics | |
| 15:35 - 15:55 | › Integrated Fleet and Demand Control for On-Demand Meal Delivery Platforms - Florentin Hildebrandt, Otto von Guericke Universität Magdeburg | |
| 16:00 - 16:20 | › Inverse Optimization for Uncertain and Dynamic Routing Problems - Bilge Atasoy - Delft University of Technology | |
| 19:30 - 23:00 | Gala dinner - Restaurant Le 1 - . |
Friday, September 27, 2024
| Time | Event | (+) |
| 09:00 - 10:30 | FA1 - Last-Mile Logistics II (Amphitheater) - Simona Mancini | (+) |
| 09:00 - 09:20 | › Logistics of Infrastructure Network Restoration under Incomplete Information - Bahar Cavdar, Rensselaer Polytechnic Institute | |
| 09:20 - 09:40 | › Parking games in a linear city - Tal Raviv, Tel Aviv University | |
| 09:45 - 10:05 | › Data-driven Optimization for Drone Delivery Service Planning with Online Demand - Aditya Paul, University of New South Wales | |
| 10:05 - 10:25 | › Dynamic parcel locker assignment under uncertain pick-up times - Simona Mancini, University of Palermo, University of Klagenfurt | |
| 09:00 - 10:30 | FA2 - Collaborative Logistics (Room ABC) - Shoshana Anily | (+) |
| 09:00 - 09:20 | › A Vehicle Routing Problem with Stochastic Demands and Cross-Docking Opportunity - Justine Castan, LS2N, IMT Atlantique, Nantes | |
| 09:20 - 09:40 | › Optimal carsharing pricing under endogenous demand uncertainty: an improved L-shaped method - Jiali Deng, University of Copenhagen | |
| 09:45 - 10:05 | › Query-based Request Reallocation for Collaborative Urban Transportation - Margaretha Gansterer, University of Klagenfurt | |
| 10:05 - 10:25 | › The profitability of cooperation among manufacturers - Shoshana Anily, Tel Aviv University, Coller School of Management | |
| 10:30 - 11:00 | Coffee break (Hall) | |
| 11:00 - 12:15 | FB1 - Multi-Modality (Amphitheater) - Yimeng Zhang | (+) |
| 11:00 - 11:20 | › Dynamic capacity deployment in a multi-modal urban delivery network with public transportation - Cécile Dupouy, Kedge Business School, Institut de Mathématiques de Bordeaux | |
| 11:25 - 11:45 | › Multi-Modal Tsunami Evacuation Planning Considering Evacuees' Non-compliance Behavior: Istanbul Case Study - Shiva Moslemi, Koç University | |
| 11:50 - 12:10 | › Preference-based Optimization for Multimodal Trip Planning with Public Transport and Shared Mobility - Yimeng Zhang, Delft University of Technology | |
| 11:00 - 12:15 | FB2 - Dynamic Optimization III (Room ABC) - Nicolas Kuttruff | (+) |
| 11:00 - 11:20 | › Stochastic Dynamic Multi-Period Technician Routing with Rework - Jonas Stein, Otto von Guericke Universität Magdeburg | |
| 11:25 - 11:45 | › The Dynamic Multi-Objective Driver Dispatching Problem in Full Truck Load Transport - Neslihan Cevik, Eindhoven University of Technology | |
| 11:50 - 12:10 | › Solving Multiperiod Vehicle Routing Problems with Minimum Utilization Constraints and Demand Uncertainty - Nicolas Kuttruff, Technical University of Munich | |
| 12:15 - 13:15 | Lunch (Hall) | |
| 13:15 - 14:05 | FC1 - Pickup and Delivery Problems (Amphitheater) - Shohre Zehtabian | (+) |
| 13:15 - 13:35 | › The Dynamic Electric Dial a Ride on a Fixed Circuit - Rotem Zohar, Tel Aviv University | |
| 13:40 - 14:00 | › Consistent Time Window Assignments for Stochastic Multi-Depot Multi-Commodity Pickup and Delivery - Shohre Zehtabian, Otto von Guericke Universität Magdeburg | |
| 13:15 - 14:05 | FC2 - Learning Methods II (Room ABC) - Simon Mader | (+) |
| 13:15 - 13:35 | › Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates - Yuanyuan Li, ESSEC Business School | |
| 13:40 - 14:00 | › A supervised machine learning framework to predict the request fit for dynamic dial-a-ride problems - Simon Mader, Catholic University of Eichstätt-Ingolstadt | |
| 14:05 - 14:20 | Farewell (Amphitheater) |
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