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Optimization in large scale problems: industry 4.0 and society 5.0 applications

This volume provides resourceful thinking and insightful management solutions to the many challenges that decision makers face in their predictions, preparations, and implementations of the key elements that our societies and industries need to take as they move toward digitalization and smartness....

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Detalles Bibliográficos
Autores principales: Fathi, Mahdi, Khakifirooz, Marzieh, Pardalos, Panos
Lenguaje:eng
Publicado: Springer 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-28565-4
http://cds.cern.ch/record/2704083
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author Fathi, Mahdi
Khakifirooz, Marzieh
Pardalos, Panos
author_facet Fathi, Mahdi
Khakifirooz, Marzieh
Pardalos, Panos
author_sort Fathi, Mahdi
collection CERN
description This volume provides resourceful thinking and insightful management solutions to the many challenges that decision makers face in their predictions, preparations, and implementations of the key elements that our societies and industries need to take as they move toward digitalization and smartness. The discussions within the book aim to uncover the sources of large-scale problems in socio-industrial dilemmas, and the theories that can support these challenges. How theories might also transition to real applications is another question that this book aims to uncover. In answer to the viewpoints expressed by several practitioners and academicians, this book aims to provide both a learning platform which spotlights open questions with related case studies. The relationship between Industry 4.0 and Society 5.0 provides the basis for the expert contributions in this book, highlighting the uses of analytical methods such as mathematical optimization, heuristic methods, decomposition methods, stochastic optimization, and more. The book will prove useful to researchers, students, and engineers in different domains who encounter large scale optimization problems and will encourage them to undertake research in this timely and practical field. The book splits into two parts. The first part covers a general perspective and challenges in a smart society and in industry. The second part covers several case studies and solutions from the operations research perspective for large scale challenges specific to various industry and society related phenomena.
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spelling cern-27040832021-04-21T18:14:35Zdoi:10.1007/978-3-030-28565-4http://cds.cern.ch/record/2704083engFathi, MahdiKhakifirooz, MarziehPardalos, PanosOptimization in large scale problems: industry 4.0 and society 5.0 applicationsMathematical Physics and MathematicsThis volume provides resourceful thinking and insightful management solutions to the many challenges that decision makers face in their predictions, preparations, and implementations of the key elements that our societies and industries need to take as they move toward digitalization and smartness. The discussions within the book aim to uncover the sources of large-scale problems in socio-industrial dilemmas, and the theories that can support these challenges. How theories might also transition to real applications is another question that this book aims to uncover. In answer to the viewpoints expressed by several practitioners and academicians, this book aims to provide both a learning platform which spotlights open questions with related case studies. The relationship between Industry 4.0 and Society 5.0 provides the basis for the expert contributions in this book, highlighting the uses of analytical methods such as mathematical optimization, heuristic methods, decomposition methods, stochastic optimization, and more. The book will prove useful to researchers, students, and engineers in different domains who encounter large scale optimization problems and will encourage them to undertake research in this timely and practical field. The book splits into two parts. The first part covers a general perspective and challenges in a smart society and in industry. The second part covers several case studies and solutions from the operations research perspective for large scale challenges specific to various industry and society related phenomena.Springeroai:cds.cern.ch:27040832019
spellingShingle Mathematical Physics and Mathematics
Fathi, Mahdi
Khakifirooz, Marzieh
Pardalos, Panos
Optimization in large scale problems: industry 4.0 and society 5.0 applications
title Optimization in large scale problems: industry 4.0 and society 5.0 applications
title_full Optimization in large scale problems: industry 4.0 and society 5.0 applications
title_fullStr Optimization in large scale problems: industry 4.0 and society 5.0 applications
title_full_unstemmed Optimization in large scale problems: industry 4.0 and society 5.0 applications
title_short Optimization in large scale problems: industry 4.0 and society 5.0 applications
title_sort optimization in large scale problems: industry 4.0 and society 5.0 applications
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-28565-4
http://cds.cern.ch/record/2704083
work_keys_str_mv AT fathimahdi optimizationinlargescaleproblemsindustry40andsociety50applications
AT khakifiroozmarzieh optimizationinlargescaleproblemsindustry40andsociety50applications
AT pardalospanos optimizationinlargescaleproblemsindustry40andsociety50applications