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Operations Research and Data Science in Public Services: 6th AIROYoung Workshop, Rome, Italy, February 23–25, 2022 /

Operations Research and Data Science in Public Services: 6th AIROYoung Workshop, Rome, Italy, February 23–25, 2022 /
Catalogue Information
Field name Details
Dewey Class 519.6
Title Operations Research and Data Science in Public Services (EBook :) : 6th AIROYoung Workshop, Rome, Italy, February 23–25, 2022 / / edited by Matteo Cosmi, Lorenzo Peirano, Alice Raffaele, Marcella Samà.
Added Personal Name Cosmi, Matteo
Peirano, Lorenzo
Raffaele, Alice
Samà, Marcella
Other name(s) SpringerLink (Online service)
Edition statement 1st ed. 2023.
Publication Cham : : Springer International Publishing : : Imprint: Springer, , 2023.
Physical Details XII, 75 p. 19 illus., 14 illus. in color. : online resource.
Series AIRO Springer Series 2523-7055 ; ; 11
ISBN 9783031345463
Summary Note This book provides a collection of contributions by Ph.D. students and early researchers who attended the 6th AIROYoung Workshop, held in Rome (Italy) at Roma Tre University, from 23 February to 25 February 2022. The selected contributions represent state-of-the-art knowledge related to several areas of operations research, optimization, and data science. The target audience of this book is primarily composed of Ph.D. students and early or experienced researchers in optimization and operations research. However, due to its interdisciplinary content, it is of high interest to other closely related research communities. Moreover, since it contains several works involving the use of optimization and data science in real applications, it is of interest to practitioners facing complex decision-making problems in these areas.:
Contents note Predicting the Empirical Hardness of Metric TSP Instances -- A two-phase approach to evaluate and optimize an interlibrary loan service: the case study of Provincia di Brescia -- Optimising the order picking process: the case of a retail distribution company in Italy -- Batch Delivery Considerations in Additive Manufacturing Machine Scheduling Problem -- An LP model for the Central Energy System.
Mode of acces to digital resource Digital reproduction.-
Cham :
Springer International Publishing,
2023. -
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site https://doi.org/10.1007/978-3-031-34546-3
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