Optimization and Decision Science

This book collects selected contributions from the international conference Optimization and Decision Science (ODS2020), which was held online on November 19, 2020, and organized by AIRO, the Italian Operations Research Society.
The book offers new and original contributions on optimization, decisions science and prescriptive analytics from both a methodological and applied perspective, using models and methods based on continuous and discrete optimization, graph theory and network optimization, analytics, multiple criteria decision making, heuristics, metaheuristics, and exact methods.
In addition to more theoretical contributions, the book chapters describe models and methods for addressing a wide diversity of real-world applications, spanning health, transportation, logistics, public sector, manufacturing, and emergency management.
Although the book is aimed primarily at researchers and PhD students in the Operations Research community, the interdisciplinary content makes it interesting for practitioners facing complex decision-making problems in the afore-mentioned areas, as well as for scholars and researchers from other disciplines, including artificial intelligence, computer sciences, economics, mathematics, and engineering.

Offers new and original contributions on optimization, decisions science and prescriptive analytics Describes models and methods for addressing a wide diversity of real-world applications Is aimed primarily at researchers and PhD students in the Operations Research community

Auteur

Raffaele Cerulli is Full Professor of Operations Research at the University of Salerno. His main research interests focus on combinatorial optimization problems: Labeled Graph Problems; Minimum spanning tree problem; Problems of the traveling salesman; vehicle routing problems; wireless sensor network; Interval Linear Programming. He has organized national and international conferences / schools in these fields. He is the author of almost 80 papers on discrete optimization and related areas. He is Director of Department of Mathematics at University of Salerno and member of the scientific committee of UMI (Italian Mathematical Union). He is member of the board of the Italian Association for Operations Research (AIRO). He is Editor-in-Chief of "Soft Computing" (Springer) and of "Advances in Computational Intelligence" (Springer). He has participated as principal investigator in many international funded research projects. Mauro Dell'Amico is Full Professor of Operations Research at the University of Modena and Reggio Emilia. His main research interests focus on combinatorial optimization as primarily applied to mobility, logistics, transportation, and production planning and scheduling. He is the author of /Assignment Problems/ (SIAM 2012) and more than 80 papers on discrete optimization and related areas. He is a member of the board of the Italian Association for Operations Research (AIRO) and president of the Interuniversity Consortium for Optimization and Operations Research. He has participated as principal investigator in many international funded research projects. Francesca Guerriero graduated with honors in Management Engineering at the University of Calabria, Italy. She obtained the PhD in System Engineering and Computer Science at the same University. She was visiting research fellow at the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, MA, USA. She is Full Professor of Operation Research at the Dept. of Mechanical, Energy and Management Engineering, University of Calabria. She is currently the Vice-Dean of the Dept. of Mechanical, Energy and Management Engineering, University of Calabria and she is Vice-President of the Italian Association for Operations Research (AIRO). Her main research interests are in the area of network optimization, logistics and distribution, revenue management, project management, optimization and big data. She is co-author of more than 130 papers published in prestigious journal in the Operations Research field. She has been and is a member of the scientific committee of several International Conferences and of the editorial board of several scientific journals. Dario Pacciarelli is Full Professor of Operations Research at Roma Tre University. His main research interests are in discrete optimization and scheduling theory, with application to public transport, logistics, production planning and scheduling, among others. He is the author of more than 100 publications on journals, books, and conference proceedings. He is president of the Italian Association for Operations Research (AIRO), president of the Italian Federation of Applied Mathematics (FIMA), member of the board of the International Association of Railway Operations Research (IAROR), and member of the International Scientific Committee of CASPT - Conference on Advanced Systems for Public Transport. Antonio Sforza formerly Full Professor of Operations Research, held courses on optimization and problem solving in the Polytechnic School of the University Federico II of Naples. His research activity is devoted to network optimization models and methods, particularly to city logistics, traffic management and control, critical infrastructure protection, and organizing in these fields national and international conferences. He is author of more than 80 publications in books, journals, and conference proceedings. He is member of the executive board of AIRO-Italian Operations Research Society-and editor of the AIRO-Springer Series.

Contenu

• Part I Game Theory and Optimization. - Integer Programming Reformulations in Interval Linear Programming. - On the Optimal Generalization Error for Weighted Least Squares Under Variable Individual Supervision Times. - On Braess' Paradox and Average Quality of Service in Transportation Network Cooperative Games. - Optimal Improvement of Communication Network Congestion via Nonlinear Programming with Generalized Nash Equilibrium Constraints. - A Note on Network Games with Strategic Complements and the Katz-Bonacich Centrality Measure. - Part II Healthcare.
  • An Optimization Model for Managing Reagents and Swab Testing During the COVID-19 Pandemic. - Modelling and Solving Patient Admission and Hospital Stay Problems. - A Two-Stage Variational Inequality for Medical Supply in Emergency Management. - Part III Scheduling and Planning . - The Value of the Stochastic Solution in a Two-Stage Assembly-to-Order Problem. - Robust Optimal Planning of Waste Sorting Operations. - Solution Approaches for the Capacitated Scheduling Problem with Conflict Jobs. - Part IV Transportation and Logistics. - A decision Model for Enhancing Driving Security. - A Two-Echelon Truck-and-Drone Distribution System: Formulation and Heuristic Approach. - A Heuristic Approach for the Human Migration Problem. - In-store Picking Strategies for Online Orders in Grocery Retail Logistics. - An Optimization Model for the Evacuation Time in the Presence of Delay. - Additive Bounds for the Double Traveling Salesman Problem with Multiple Stacks. - Crowd-Shipping and Occasional Depots in the Last Mile Delivery. - Branch and Bound and Dynamic Programming Approaches for the Path Avoiding Forbidden Pairs Problem. - Revenue Management Approach for Passenger Transport Service: An Italian Case Study.