This volume is the third in the AIRO Springer Series. It contains very recent results in the field of optimization and decision science, aimed at solving complex problems. The volume is mainly addressed to the operations research (OR) community but, due to its interdisciplinary contents, it will also be of great interest for scholars and researchers from many scientific disciplines, including computer sciences, economics, mathematics, and engineering. OR is known as the discipline of optimization applied to real-world problems and to complex decision-making fields. The focus is on mathematical and quantitative methods aimed at determining optimal or near-optimal solutions in acceptable computation times. Moreover, the volume contains real industrial applications, making it interesting for practitioners facing decision problems in logistics, manufacturing production, and services. Readers will surely find innovative ideas, from both a methodological and an applied perspective. This volume includes both applications and theoretical results that represent state-of-the-art research contributions in the following fields and areas: smart port terminal operations; data exploitation: methods and applications; financial modeling and portfolio optimization; optimization in public transport; optimization in machine learning; support to Industry 4.0 and smart manufacturing; health care management and planning; equilibrium problems, variational models, and applications; mixed integer programming; transportation networks performance and reliability; vehicle routing problems; stochastic programming: optimization under uncertainty and applications; rail port operations; combinatorial optimization; OR applications in routing; inventory; graphs; traveling salesman and arc touting problems; and optimization in telecommunication networks and queuing systems. The results published in this volume have been accepted for publication after a double-blind peer review process by experts in OR that had the aim of guaranteeing the quality of the contents. The editors want to thank the referees for their interesting comments, for their suggestions on how to improve the contents, and for completing the review process within the allowed time. The editorial choice for this volume was to force the authors to focus on the central results obtained in their research. For this reason, the length of the contributions has been limited, with only a few exceptions. As a consequence, the volume provides very interesting results. As editors, we expect and hope that most of the papers included in the volume will be further developed so that they are suitable for publication in top-rated international journals. Indeed, the fact that some of the contributions focus on theoretical results while others deal with applications leaves much scope for empirical and theoretical aspects, respectively, to be developed in future research. The adopted approach was also designed to encourage young researchers with little experience in academic research, giving them the possibility to publish preliminary results and to experience the review process. The contributions included in this volume are a subset of the works presented at ODS2019—International Conference on Optimization and Decision Science. The conference was the 49th annual meeting organized by the Italian Operations Research Society (AIRO) and took place in Genoa, Italy, on September 4–7, 2019.
Paolucci, M., Sciomachen, A., Uberti, P. (a cura di). (2019). Advances in Optimization and Decision Science for Society, Services and Enterprises. Springer [10.1007/978-3-030-34960-8].
Advances in Optimization and Decision Science for Society, Services and Enterprises
Uberti, P
2019
Abstract
This volume is the third in the AIRO Springer Series. It contains very recent results in the field of optimization and decision science, aimed at solving complex problems. The volume is mainly addressed to the operations research (OR) community but, due to its interdisciplinary contents, it will also be of great interest for scholars and researchers from many scientific disciplines, including computer sciences, economics, mathematics, and engineering. OR is known as the discipline of optimization applied to real-world problems and to complex decision-making fields. The focus is on mathematical and quantitative methods aimed at determining optimal or near-optimal solutions in acceptable computation times. Moreover, the volume contains real industrial applications, making it interesting for practitioners facing decision problems in logistics, manufacturing production, and services. Readers will surely find innovative ideas, from both a methodological and an applied perspective. This volume includes both applications and theoretical results that represent state-of-the-art research contributions in the following fields and areas: smart port terminal operations; data exploitation: methods and applications; financial modeling and portfolio optimization; optimization in public transport; optimization in machine learning; support to Industry 4.0 and smart manufacturing; health care management and planning; equilibrium problems, variational models, and applications; mixed integer programming; transportation networks performance and reliability; vehicle routing problems; stochastic programming: optimization under uncertainty and applications; rail port operations; combinatorial optimization; OR applications in routing; inventory; graphs; traveling salesman and arc touting problems; and optimization in telecommunication networks and queuing systems. The results published in this volume have been accepted for publication after a double-blind peer review process by experts in OR that had the aim of guaranteeing the quality of the contents. The editors want to thank the referees for their interesting comments, for their suggestions on how to improve the contents, and for completing the review process within the allowed time. The editorial choice for this volume was to force the authors to focus on the central results obtained in their research. For this reason, the length of the contributions has been limited, with only a few exceptions. As a consequence, the volume provides very interesting results. As editors, we expect and hope that most of the papers included in the volume will be further developed so that they are suitable for publication in top-rated international journals. Indeed, the fact that some of the contributions focus on theoretical results while others deal with applications leaves much scope for empirical and theoretical aspects, respectively, to be developed in future research. The adopted approach was also designed to encourage young researchers with little experience in academic research, giving them the possibility to publish preliminary results and to experience the review process. The contributions included in this volume are a subset of the works presented at ODS2019—International Conference on Optimization and Decision Science. The conference was the 49th annual meeting organized by the Italian Operations Research Society (AIRO) and took place in Genoa, Italy, on September 4–7, 2019.
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