國立高雄大學圖資館 |

Language: English

Back

Optimization in green sustainability and ecological transitionODS, Ischia, Italy, September 4-7, 2023 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization in green sustainability and ecological transitionedited by Maurizio Bruglieri ... [et al.].
Reminder of title:	ODS, Ischia, Italy, September 4-7, 2023 /
remainder title:	ODS 2023
other author:	Bruglieri, Maurizio.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	ix, 374 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical optimization
Online resource:	https://doi.org/10.1007/978-3-031-47686-0
ISBN:	9783031476860$q(electronic bk.)

Optimization in green sustainability and ecological transitionODS, Ischia, Italy, September 4-7, 2023 /
Optimization in green sustainability and ecological transitionODS, Ischia, Italy, September 4-7, 2023 /[electronic resource] :ODS 2023edited by Maurizio Bruglieri ... [et al.]. - Cham :Springer Nature Switzerland :2024. - ix, 374 p. :ill. (some col.), digital ;24 cm. - AIRO Springer series,v. 122523-7055 ;. - AIRO Springer series ;v.2..

Preface -- OR in Healthcare: in this chapter we expect to propose works focusing on the use of operations research techniques in health care -- OR in Logistics: in this chapter we expect to propose works focusing on several logistic problems, e.g., supply chain, city logistics, port management -- OR in Transportation: in this chapter we expect to propose works which focus is on transportation problems involving both transportation of people and freight -- Optimization and Data Science: in this chapter we expect to propose contributions focusing on several aspects of data science -- Network Flows: in this chapter we expect to propose contributions focusing on theoretical and practical issues emerging in network optimization problems -- Combinatorial Optimization: in this chapter we expect to propose contributions focusing on theoretical and practical issues emerging in combinatorial optimization problems.

This book collects selected contributions of the "Optimization and Decision Science - ODS2023" international conference on the theme of optimization in green sustainability and ecological transition. ODS2023 was held in Ischia, 4-7 September 2023, and was organized by AIRO, the Italian Operations Research Society. The book offers new and original contributions on operations research, optimization, decision science, and prescriptive analytics from both a methodological and applied perspectives with a special focus on SDG related topics. It provides a state-of-the art on problem models and solving methods to address a widely class of real-world problems, arising in different application areas such as logistics, transportation, manufacturing, health, ICT and mobile networks, and emergency/disaster management. In addition, the scientific works collected in this book aim at providing significant contributions in the themes of sustainability, traffic and pollution reductions, and energy management. This book is aimed primarily at researchers and Ph.D. students in the Operations Research community. However, due to its interdisciplinary contents, this book is of high interest also for students and researchers from other disciplines, including artificial intelligence, computer sciences, finance, mathematics, and engineering as well as for practitioners facing complex decision-making problems in logistics, manufacturing production, and services.

ISBN: 9783031476860$q(electronic bk.)

Standard No.: 10.1007/978-3-031-47686-0doiSubjects--Topical Terms:

252884
Mathematical optimization

LC Class. No.: QA402.5 / .I58 2023

Dewey Class. No.: 519.6

Optimization in green sustainability and ecological transitionODS, Ischia, Italy, September 4-7, 2023 /
LDR:03527nmm a22003495a 4500 001 665343
003 DE-He213
005 20240402095856.0
006 m d
007 cr nn 008maaau
008 241219s2024 sz s 0 eng d
020 $a 9783031476860$q(electronic bk.)
020 $a 9783031476853$q(paper)
024 7 $a 10.1007/978-3-031-47686-0 $2 doi
035 $a 978-3-031-47686-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5 $b .I58 2023
072 7 $a PBU $2 bicssc
072 7 $a MAT042000 $2 bisacsh
072 7 $a PBU $2 thema
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .I61 2023
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Optimization in green sustainability and ecological transition $h [electronic resource] : $b ODS, Ischia, Italy, September 4-7, 2023 / $c edited by Maurizio Bruglieri ... [et al.].
246 3 $a ODS 2023
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a ix, 374 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a AIRO Springer series, $x 2523-7055 ; $v v. 12
505 0 $a Preface -- OR in Healthcare: in this chapter we expect to propose works focusing on the use of operations research techniques in health care -- OR in Logistics: in this chapter we expect to propose works focusing on several logistic problems, e.g., supply chain, city logistics, port management -- OR in Transportation: in this chapter we expect to propose works which focus is on transportation problems involving both transportation of people and freight -- Optimization and Data Science: in this chapter we expect to propose contributions focusing on several aspects of data science -- Network Flows: in this chapter we expect to propose contributions focusing on theoretical and practical issues emerging in network optimization problems -- Combinatorial Optimization: in this chapter we expect to propose contributions focusing on theoretical and practical issues emerging in combinatorial optimization problems.
520 $a This book collects selected contributions of the "Optimization and Decision Science - ODS2023" international conference on the theme of optimization in green sustainability and ecological transition. ODS2023 was held in Ischia, 4-7 September 2023, and was organized by AIRO, the Italian Operations Research Society. The book offers new and original contributions on operations research, optimization, decision science, and prescriptive analytics from both a methodological and applied perspectives with a special focus on SDG related topics. It provides a state-of-the art on problem models and solving methods to address a widely class of real-world problems, arising in different application areas such as logistics, transportation, manufacturing, health, ICT and mobile networks, and emergency/disaster management. In addition, the scientific works collected in this book aim at providing significant contributions in the themes of sustainability, traffic and pollution reductions, and energy management. This book is aimed primarily at researchers and Ph.D. students in the Operations Research community. However, due to its interdisciplinary contents, this book is of high interest also for students and researchers from other disciplines, including artificial intelligence, computer sciences, finance, mathematics, and engineering as well as for practitioners facing complex decision-making problems in logistics, manufacturing production, and services.
650 0 $a Mathematical optimization $3 252884
650 0 $a Decision making $3 236090
650 1 4 $a Optimization. $3 274084
650 2 4 $a Data Analysis and Big Data. $3 913147
650 2 4 $a Sustainability. $3 376755
700 1 $a Bruglieri, Maurizio. $3 814655
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a AIRO Springer series ; $v v.2. $3 852173
856 4 0 $u https://doi.org/10.1007/978-3-031-47686-0
950 $a Mathematics and Statistics (SpringerNature-11649)