Operations Research and Data Science in Public Services

6th AIROYoung Workshop, Rome, Italy, February 23-25, 2022
2023
ISBN: 978-3-031-34548-7
Verlag: Springer International Publishing

Buch, Englisch, 75 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 165 g

Reihe: AIRO Springer Series

This book provides a collection of contributions by Ph.D. students and early researchers who attended the 6th AIROYoung Workshop, held in Rome (Italy) at Roma Tre University, from 23 February to 25 February 2022. The selected contributions represent state-of-the-art knowledge related to several areas of operations research, optimization, and data science. The target audience of this book is primarily composed of Ph.D. students and early or experienced researchers in optimization and operations research. However, due to its interdisciplinary content, it is of high interest to other closely related research communities. Moreover, since it contains several works involving the use of optimization and data science in real applications, it is of interest to practitioners facing complex decision-making problems in these areas.

Zielgruppe

Research

Autoren/Hrsg.

Cosmi, Matteo

Samà, Marcella

Peirano, Lorenzo

Raffaele, Alice

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

Predicting the Empirical Hardness of Metric TSP Instances.- A two-phase approach to evaluate and optimize an interlibrary loan service: the case study of Provincia di Brescia.- Optimising the order picking process: the case of a retail distribution company in Italy.- Batch Delivery Considerations in Additive Manufacturing Machine Scheduling Problem.- An LP model for the Central Energy System

Über Autor(innen)

Matteo Cosmi is a postdoctoral researcher in Operations Research at Luxembourg Centre for Logistics and Supply Chain Management (LCL). Previously, he obtained his Ph.D. in Computer Science and Automation at Roma Tre University, working on operations research applications for food delivery problems, and was an Operations Research scientist at LINKS Foundation. His research focuses on models and algorithms for last-mile delivery, logistics and supply chain. He is a reviewer for international scientific journals and conferences and was part of the organizing committee for the 6th AIROYoung Workshop.

 

Alice Raffaele received her Ph.D. in Operations Research from the University of Trento and the University of Verona, where she is currently a research fellow and contract lecturer. Her research interests are combinatorial optimization, temporal networks, and enumeration problems. Since March 2019, she has been part of the board of AIROYoung, the young chapter of AIRO,of which she has been a coordinator since February 2021. She collaborates with MaddMaths!, the main Italian website to disseminate mathematics.

Marcella Samà is an associate professor in Operations Research at Roma Tre University, where she also received her Ph.D. in Operations Research. Her research focuses on models and algorithms for public services problems, with specific regard to transit and logistics. She is a reviewer for several international scientific journals, IET Intelligent Transportation Systems associate editor, guest editor for Transportation Research Part E, and organizing committee chair for the 6th AIROYoung Workshop.

Lorenzo Peirano is a postdoctoral researcher and contract lecturer in Operations Research at the University of Brescia. He received his Ph.D. in Analytics for Economics and Business at the University of Bergamo in 2020, and his research is focused on the optimization of logistics, maritime and air transportation, network and combinatorial problems, and machine learning. Since February 2021, it has been a coordinator of AIROYoung, the young chapter of AIRO.