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Full Description
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.
Contents
- 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.
