A5071020443- Transportation and Mobility Innovations
- Transportation Planning and Optimization
- Urban and Freight Transport Logistics
- Vehicle Routing Optimization Methods
- Smart Parking Systems Research
- Supply Chain and Inventory Management
- Optimization and Mathematical Programming
- Urban Transport and Accessibility
- Robotic Path Planning Algorithms
- Metaheuristic Optimization Algorithms Research
- Auction Theory and Applications
- Business Process Modeling and Analysis
- Sustainable Supply Chain Management
- Scheduling and Optimization Algorithms
- Facility Location and Emergency Management
- Career Development and Diversity
- Maritime Ports and Logistics
- Complex Systems and Decision Making
RWTH Aachen University
2020-2024
Deutsche Post (Germany)
2020-2024
University of Bergamo
2018-2019
We study the problem of determining target inventory level stations in a bike-sharing system, when bikes can be rebalanced later during day. propose two-stage stochastic programming formulation, where decisions are made at first stage, while recourse decisions, related to rebalancing, second stage. In literature, levels is solved without taking into account rebalancing problem, or these two problems sequentially. prove that more efficient systems obtained by integrating problems. Moreover,...
Abstract To plan the postal deliveries of our industry partner DHL Group (DHL), single truck and trailer routing problem with satellite depots (STTRPSD) is solved to optimize mail carriers routes. In this application context, instances feature a high number customers satellites, they are based on real street networks. This motivates study asymmetric STTRPSD (ASTTRPSD). The heuristic solution methods proposed in literature for can either solve only symmetric variant, or it unclear whether...
The static share-a-ride problem (SARP) consists of handling people and parcels in an integrated way through the same vehicle, which provides a shared trip between origin destination, response to requests received advance. When multiple providers compete on market (for instance, within city or region), horizontal cooperation can be efficient strategy consolidate all optimize total payoff. This situation gives rise cooperative SARP (coop-SARP). In this problem, depots heterogeneous vehicles...
Abstract The angular‐metric traveling salesman problem (AngleTSP) aims to find a tour visiting given set of vertices in the Euclidean plane exactly once while minimizing cost by sum all turning angles. If is obtained combining angles and traveled distance, called angular‐distance‐metric (AngleDistanceTSP). In this work, we study symmetric variants these problems. Because both AngleTSP AngleDistanceTSP are NP‐hard, multiple heuristic approaches have been proposed literature. Nevertheless,...
In this thesis, we study four different problems, all characterized by the presence of uncertainty. The first two them deal with a distribution system in which transshipment and/or backordering are allowed. For problem, propose two-stage stochastic program, provide complexity results and show that considering uncertainty explicitly model leads to better solutions respect ones provided corresponding deterministic especially if limited recourse actions admitted. second multi-stage model. As...
Abstract AIROYoung is the Young Researchers Chapter of AIRO (Italian Association Operations Research). In this work, we focus on Workshop, an annual event which has been reuniting young researchers constituting community from 2017. Describing all editions initiative, highlight main guidelines have following so far to organize it (e.g., no registration fee, grants for free accommodation, parallel sessions, and a look sustainability). We analyze surveys filled by participants present...
This thesis addresses four problems characterized by the presence of uncertainty. The first two analyze a distribution system with uncertain demand in which transshipment and backordering are allowed, third problem studies allocation rebalancing activities bikesharing under bike demand, fourth deals workforce planning decisions considering workers’ stochastic learning curves. For all these applications, programming formulations proposed importance uncertainty explicitly models is assessed....