Cappanera / Lapucci / Schoen Optimization and Decision Science: Operations Research, Inclusion and Equity

ODS, Florence, Italy, August 30—September 2, 2022
1. Auflage 2023
ISBN: 978-3-031-28863-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 366 Seiten, eBook

Reihe: Mathematics and Statistics (R0)

This volume collects peer-reviewed short papers presented at the Optimization and Decision Science conference (ODS 2022) held in Florence (Italy) from August 30th to September 2, 2022,  organized by the Global Optimization Laboratory within the University of Florence and AIRO (the Italian Association for Operations Research).

The book includes contributions in the fields of operations research, optimization, problem solving, decision making and their applications in the most diverse domains. Moreover, a special focus is set on the challenging theme Operations Research: inclusion and equity.

The work offers 30 contributions, covering a wide spectrum of methodologies and applications. Specifically, they feature the following topics: (i) Variational Inequalities, Equilibria and Games, (ii) Optimization and Machine Learning, (iii) Global Optimization,  (iv) Optimization under Uncertainty, (v) Combinatorial Optimization, (vi) Transportation and Mobility,  (vii) Health Care Management, and (viii) Applications.

This book is primarily addressed to researchers and PhD students of the operations research community. However, due to its interdisciplinary content, it will be of high interest for other closely related research communities.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Cappanera, Paola

Lapucci, Matteo

Schoen, Fabio

Sciandrone, Marco

Tardella, Fabio

Visintin, Filippo

Inhaltsverzeichnis

• Introduction by Paola Cappanera and Fabio Schoen
• A chapter for each of the 30 accepted papers (all the papers have been already reviewed and are available on the Springer OCS platform

Variational Inequalities, Equilibria & Games

28, Georgia Fargetta, Laura Rosa Maria Scrimali. Time-Dependent Generalized Nash Equilibria in Social Media Platforms

29, Annamaria Barbagallo, Serena Guarino Lo Bianco. A general Cournot-Nash equilibrium principle and applications to the COVID-19 pandemic

34, M. Ángeles Caraballo, Asunción Zapata, Luisa Monroy, Amparo Mármol. Environmental damage reduction: when countries face conflicting objectives

37, Lorenzo Lampariello, Simone Sagratella, Valerio Giuseppe Sasso. Nonsmooth Hierarchical Multi Portfolio Selection

40, Mauro Passacantando, Fabio Raciti. A multiclass network international migration model under shared regulations

Optimization and Machine Learning

38, Luca Bravi, Andrew Harbourne-Thomas, Alessandro Lori, Peter Mitchell, Samuele Salti, Leonardo Taccari, Francesco Sambo. GPS data mining to infer fleet operations for personalised product upselling

42, Cristiano Cervellera, Danilo Macciò, Francesco Rebora. Voronoi recursive binary trees for the optimization of nonlinear functionals

52, Alberto Ceselli and Elia Togni. Mathematical Programming and Machine Learning for a Task Allocation Game

Global Optimization (Continuous, non-linear and multiobjective optimization)

32, Leo Liberti, Benedetto Manca, Antoine Oustry, and Pierre-Louis Poirion. Random projections for semidefinite programming

33, Ana Garcia-Bernabeu, Adolfo Hilario-Caballero, José Vicente Salcedo, Francisco Salas-Molina. Approaches to ESG - Integration in Portfolio Optimization using MOEAs

Optimization under Uncertainty

15, Milan Hladík. Complexity Issues in Interval Linear Programming

56, Patrizia Beraldi and Sara Khodaparasti. Dynamic Pricing in the Electricity Retail Market: A Stochastic Bi-Level Approach

59, Edoardo Fadda, Daniele Giovanni Gioia and Paolo Brandimarte. Robust Approaches for a Two-Stage Assembly-to-Order Problem

Combinatorial optimization

31, Giulia Ansuini, Antonio Frangioni, Laura Galli, Giovanni Nardini, Giovanni Stea. Bi-dimensional Assignment in 5G Periodic Scheduling

35, Meisam Pour-Massahian-Tafti, Matthieu Godichaud and Lionel Amodeo. Capacitated Disassembly Lot-Sizing Problem with Disposal Decisions for Multiple Product Types with Parts Commonality

36, Nikola Obrenovic, Selin Ataç, Stefano Bortolomiol, Sanja Brdar, Oskar Marko,Vladimir Crnojevic. The Crop Plant Scheduling Problem

44, Elena Ausonio, Patrizia Bagnerini, Mauro Gaggero. A MILP Formulation and a Metaheuristic Approach for the Scheduling of Drone Landings and Payload Changes on an Automatic Platform

53, Rosita Guido, Gabriele Zangara, Giuseppina Ambrogio, Domenico Conforti. A flexible job shop scheduling model for Sustainable Manufacturing

55, Annarita De Maio, Roberto Musmanno, Aurora Skrame, Francesca Vocaturo. Selection of Cultural Sites via Optimization

60, Carla De Francesco and Luigi De Giovanni. Integer Linear Programming Formulations for the Fleet Quickest Routing Problem on Grids

Transportation and mobility

16, Massimo Di Gangi and Antonio Polimeni. C-Weibit discrete choice model: a path based approach

43, Cristiano Cervellera, Danilo Macciò, Francesco Rebora. Receding-horizon dynamic optimization of port-city traffic interactions over shared urban infrastructure

48, David Di Lorenzo, Tommaso Bianconcini, Leonardo Taccari, Marco Gualtieri, Paolo Raiconi, Alessandro Lori. Ten years of Routist: vehicle routing lessons learned from practice

50, Maksim Lalic, Nikola Obrenovic, Sanja Brdar, Ivan Lukovic, Michel Bierlaire. Assisting Passengers on Rerouted Train Service Using Vehicle Sharing System

Health Care Management

39, Maurizio Boccia, Andrea Mancuso, Adriano Masone, Francesco Messina, Antonio Sforza, Claudio Sterle. Optimization for surgery department management: an application to a hospital in Naples

41, Christian Piermarini, Massimo Roma. The Ambulance Diversion phenomenon in an Emergency Department network: a case study

Applications

2, Nicolas Zufferey, Marie-Sklaerder Vié,Leandro Coelho. Reducing the supply-chain nervosity thanks to flexible planning

46, EP. Mezatio, MM. Aghelinejad, L. Amodeo, I. Ferreira. Design forward and reverse closed-loop supply chain to improve economic and environmental performances

51, Tatiana Grimard, Nadia Lehoux and Luc Lebel. Supply chain design and cost allocation in a collaborative three-echelon supply network: A literature review

57, S. Baldassarre, G. Bruno, M. Cavola and E. Pipicelli. A mathematical model to locate Services of General Economic Interest

Über Autor(innen)

Paola Cappanera is Associate Professor of Operations Research at the Department of Information Engineering of the University of Florence. She has a multidisciplinary educational background. Her main research interests are in combinatorial optimization and in the design of efficient algorithms with particular attention to health care, telecommunications, and transportation settings. She deeply investigated several research topics stemming from very different real contexts; the unifying feature is the focus on network flow-based methodologies and on problem structure. She received the Omega Best Paper Award 2018 in the health care and optimization area. She is currently in the Editorial Board of Flexible Services and Manufacturing Journal, Health Care Management Science and Operations Research for Health Care.

Matteo Lapucci received his bachelor’s and master's degree in Computer Engineering at the University of Florence in 2015 and 2018, respectively. He then received in 2022 his Ph.D. degree in Smart Computing jointly from the Universities of Florence, Pisa, and Siena. He is currently Postdoctoral Research Fellow at the Department of Information Engineering of the University of Florence. His main research interests include theory and algorithms for sparse, multi-objective, and large-scale constrained nonlinear optimization.Fabio Schoen is Professor of Operations Research at the University of Florence (Italy). His main research interests deal with optimization methods, with particular reference to algorithms for non-convex optimization, the interface between machine learning and optimization, and the development of optimization models for applications. He is Scientific Coordinator of the Ph.D. program in Information engineering, University of Florence, and Member of the Editorial Board of EURO J on Computational Optimization, Computational Optimization and Applications, J of Global Optimization, Optimization Methods and Software, and Operations Research Letters. He was one of the founders of KKT srl (now: Verizon Connect Italy) and Intuendi.comMarco Sciandrone is Full Professor of Operations Research at Sapienza University of Rome. He received the M.Sc. degree in electrical engineering and the Ph.D. degree in systems engineering from the Sapienza University of Rome, in 1991 and 1997, respectively. From 1998 to 2006, he was Researcher at the Institute of Systems Analysis and Computer Science (National Research Council) of Rome. From 2006 to 2017 and from 2018 to 2021, he has been, respectively, Associate Professor and Full Professor at University of Florence. His research interests include operations research, nonlinear optimization, and machine learning. He has published more than 60 papers on international journals. He is Associate Editor of the journals Optimization Methods and Software, and 4OR.

Fabio Tardella is Full Professor in Operations Research at the Department of Information Engineering (DINFO) of the University of Florence. Formerly at Sapienza University of Rome, he served as President of the Master Program Finance and Insurance and Head of the Department of Mathematics for Economic, Financial and Insurance decisions (now merged into the MEMOTEF Department). His research interests include optimization in finance and insurance, combinatorial optimization and its links with continuous optimization, quadratic programming, discrete convexity, lattice programming, and submodularity.

Filippo Visintin is Associate Professor of Service Design and Management at the School of Engineering of Florence University. He is Scientific Director of the Information-Based Industrial Services Laboratory (IBIS Lab, www.ibis.unifi.it). He is Member of the Italian Management Engineering Association (Associazione italiana Ingegneria Gestionale—AiIG). He is Co-founder and Co-owner of SmartOperations Srl, a University of Florence’s spin-off (www.smartoperations.it). His research interests include servitization of manufacturing, healthcare operations management, discrete-event simulation, and circular economy. He is Author of several research papers published in prestigious international journals such as the European Journal of Operational Research, Industrial Marketing Management, International Journal of Production Economics, Computers in Industry, Computers and Industrial Engineering, Flexible Service and Manufacturing Journal, Management Decision, Journal of Intelligent Manufacturing, Production Planning and Control, IMA Journal of Management Mathematics, and PLOS One. He served as Guest Editor for Management Decision and Flexible Service and Manufacturing Journal.