Operations Research: Closing the Gap Between Research and Practice: International Conference on Optimization and Decision Science (ODS), Badesi, ... 8-12, 2024: 15 (AIRO Springer Series, 15) - Hardcover

Hardcover

ISBN 10: 3031900944 ISBN 13: 9783031900945

Publisher: Springer, 2025

Synopsis

This book collects selected contributions of the “Optimization and Decision Science - ODS2024 - International conference on the theme of Operations Research: closing the gap between research and practice ODS2024 was held in Badesi (Sardinia, Italy), 8–12 September 2024, and was organized by AIRO, the Italian Operations Research Society. The book offers new and original contributions on operations research, optimization, decision science, and prescriptive analytics from both a methodological and applied perspectives. It provides a state-of-the art on problem models and solving methods to address a widely class of real-world problems, arising in different application areas such as logistics, transportation, energy management, manufacturing, health, ICT and mobile networks, and emergency/disaster management. In addition, the scientific works collected in this book aim at providing significant contributions in the theme of a close connection between research and practice.  This book is aimed primarily at researchers and Ph.D. students in the Operations Research community. However, due to its interdisciplinary contents, this book is of high interest also for students and researchers from other disciplines, including artificial intelligence, computer sciences, finance, mathematics, and engineering as well as for practitioners facing complex decision-making problems in logistics, manufacturing production, and services.

About this title

About the Author

The editors are members of the Operations Research group of the University of Cagliari with expertises in Logistics, Machine Learning and Non-Smooth Optimization. Massimo di Francesco and Enrico Gorgone are associate professors and Benedetto Manca e Simone Zanda are assistant professors. All of them organized the Optimization and Decision Science Conference 2024 held in Badesi (Sardinia, Italy). They collaborate with other researchers in the optimization filed, especially with researchers from the CIRRELT group in Canada, the University of Calabria, the University of Pisa and the Ecole Polytechnique in Paris.

From the Back Cover

This book collects selected contributions of the “Optimization and Decision Science - ODS2024 - International conference on the theme of Operations Research: closing the gap between research and practice ODS2024 was held in Badesi (Sardinia, Italy), 8–12 September 2024, and was organized by AIRO, the Italian Operations Research Society. The book offers new and original contributions on operations research, optimization, decision science, and prescriptive analytics from both a methodological and applied perspectives. It provides a state-of-the art on problem models and solving methods to address a widely class of real-world problems, arising in different application areas such as logistics, transportation, energy management, manufacturing, health, ICT and mobile networks, and emergency/disaster management. In addition, the scientific works collected in this book aim at providing significant contributions in the theme of a close connection between research and practice.  This book is aimed primarily at researchers and Ph.D. students in the Operations Research community. However, due to its interdisciplinary contents, this book is of high interest also for students and researchers from other disciplines, including artificial intelligence, computer sciences, finance, mathematics, and engineering as well as for practitioners facing complex decision-making problems in logistics, manufacturing production, and services.

Edition details

• Publisher: Springer
• Publication date: 2025
• Language: English
• ISBN 10: 3031900944
• ISBN 13: 9783031900945
• Binding: Hardcover
• Number of pages: 393
• Editor: Di Francesco Massimo, Gorgone Enrico, Manca Benedetto, Zanda Simone