Overview
- It uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0
- Bridging the scheduling theory to cloud manufacturing and Industry 4.0 systems
- Systemizing new developments and deciphering taxonomies and methodological principles to shape the new research domain scheduling in cloud manufacturing and Industry 4.0 systems
- Innovative applications of scheduling in cloud manufacturing and Industry 4.0
- Consideration of models with only terminal constraints, with hybrid terminal-logical constraints, and with hybrid structural-terminal-logical constraints
- Analysis of computational algorithms
- Data-driven scheduling models and analytics
- Unique multi-disciplinary view with utilization of operations research, industrial engineering and computer science techniques
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 289)
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Table of contents (13 chapters)
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Front Matter
Keywords
About this book
The purpose of this book is to present recent developments in scheduling in cloud manufacturing and Industry 4.0 and to systemize these developments in new taxonomies and methodological principles to shape this new research domain. This book addresses the needs of both researchers and practitioners to uncover the challenges and opportunities of scheduling techniques’ applications to cloud manufacturing and Industry 4.0. For the first time, it comprehensively conceptualizes scheduling in cloud manufacturing and Industry 4.0 systems as a new research domain. The chapters of the book are written by the leading international experts and utilize methods of operations research, industrial engineering and computer science. Such a multi-disciplinary combination is unique and comprehensively deciphers major problem taxonomies, methodologies, and applications to scheduling in cloud manufacturing and Industry 4.0.
Editors and Affiliations
About the editors
Dmitry Ivanov is a professor of Supply Chain and Operations Management at the Berlin School of Economics and Law (BSEL). Hisresearch explores structural dynamics and control in complex networks, with applications to supply chain resilience, scheduling in Industry 4.0 systems, supply chain simulation, risk analytics and digital supply chain twins. He is co-author of structural dynamics control methods for supply chain management. His research record includes around 330 publications, with 78 papers in prestigious, peer-reviewed academic journals and the leading books “Global Supply Chain and Operations Management,” "Structural Dynamics and Resilience in Supply Chain Risk Management“ and "Handbook of Ripple Effects in the Supply Chain“ published with Springer. He is Editor of International Journal of Integrated Supply Management and Associate editor of International Journal of Production Research and International Journal of Systems Sciences.
Alexandre Dolgui is a Distinguished Professor (Full Professor of Exceptional Class in France) and the Head of Automation, Production, and Computer Sciences Department at the IMT Atlantique (former Ecole des Mines de Nantes and Telecom Bretagne), France. His research focuses on manufacturing line design, production planning, and supply chain optimization. His research is mainly based on exact mathematical programming methods and their intelligent coupling with heuristics and metaheuristics algorithms. He is the co-author of 5 books, the co-editor of 19 books for conference proceedings, the author of 236 refereed journal papers, 27 editorials, and 32 book chapters, as well as the author of over 400 papers written for conference proceedings. He is the Editor-in-Chief of the International Journal of Production Research and an Area Editor of Computers & Industrial Engineering.
Bibliographic Information
Book Title: Scheduling in Industry 4.0 and Cloud Manufacturing
Editors: Boris Sokolov, Dmitry Ivanov, Alexandre Dolgui
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-030-43177-8
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-43176-1Published: 09 June 2020
Softcover ISBN: 978-3-030-43179-2Published: 09 June 2021
eBook ISBN: 978-3-030-43177-8Published: 08 June 2020
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: VI, 273
Number of Illustrations: 30 b/w illustrations, 47 illustrations in colour
Topics: Operations Research/Decision Theory, Industrial and Production Engineering, Supply Chain Management