|
|
 |
|
Jeudi 9 Janvier
| Heure: |
10:30 - 11:30 |
| Lieu: |
Salle B107, bâtiment B, Université de Villetaneuse |
| Résumé: |
A Bi-level Approach for Last-Mile Delivery |
| Description: |
Maria Elena Bruni Last-mile delivery is regarded as an essential, yet challenging problem in city logistics. One of the most common initiatives, implemented to streamline and support last-mile activities, are satellite depots. These intermediate logistics facilities are used by companies in urban areas to decouple last-mile activities from the rest of the distribution chain. Establishing a business model that considers different stakeholders' interests and balances the economic and operational dimensions, is still a challenge.
In this seminar, we will introduce a novel problem that broadly covers such setting, where the delivery to customers is managed through satellite depots and the interplay and the hierarchical relation between the problem agents are modeled in a bi-level framework.
Two mathematical models and an exact solution approach, properly customized for our problem, will be presented, and extensive computational experiments on benchmark instances and a real case study discussed. Finally, we will shed light on future research directions on how the proposed approach can be extended for other relevant problem classes. |
Jeudi 16 Janvier
| Heure: |
10:30 - 11:00 |
| Lieu: |
Salle A303 |
| Résumé: |
Decision aid for tactical transportation problems |
| Description: |
Guillaume Joubert Due to the complexity of real-world planning processes addressed by major transportation companies, decisions are often made considering subsequent problems at the strategic, tactical, and operational planning phases. However, these problems still prove to be individually very challenging. This talk will present two examples of tactical transportation problems motivated by industrial applications: the Train Timetabling Problem (TTP) and the Service Network Scheduling Problem (SNSP). The TTP aims at scheduling a set of trains, months to years before actual operations, at every station of their path through a given railway network while respecting safety headways. The SNSP determines the number of vehicles and their departure times on each arc of a middle-mile network while minimizing the sum of vehicle and late commodity delivery costs. For these two problems, the consideration of capacity and uncertainty in travel times are discussed. We present models and solution approaches including MILP formulations, Tabu search, Constraint Programming techniques, and a Progressive Hedging metaheuristic. |
|
|
