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Scheduling in Industry 4.0 and cloud...

Dolgui, Alexandre.

Scheduling in Industry 4.0 and cloud manufacturing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Scheduling in Industry 4.0 and cloud manufacturingedited by Boris Sokolov, Dmitry Ivanov, Alexandre Dolgui.
其他作者:	Sokolov, Boris.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	vi, 273 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Production scheduling.
電子資源:	https://doi.org/10.1007/978-3-030-43177-8
ISBN:	9783030431778$q(electronic bk.)

Scheduling in Industry 4.0 and cloud manufacturing
Scheduling in Industry 4.0 and cloud manufacturing[electronic resource] /edited by Boris Sokolov, Dmitry Ivanov, Alexandre Dolgui. - Cham :Springer International Publishing :2020. - vi, 273 p. :ill., digital ;24 cm. - International series in operations research & management science,v.2890884-8289 ;. - International series in operations research & management science ;v. 140..

Chapter 1. Introduction to scheduling in Industry 4.0 and cloud manufacturing systems -- Chapter 2. Proactive scheduling and reactive real time control in Industry 4.0 -- Chapter 3. Using a digital-twin for production planning and control in Industry 4.0 -- Chapter 4. Adaptive Scheduling in the era of Cloud Manufacturing -- Chapter 5. Cloud Material Handling Systems: conceptual model and cloud-based scheduling of handling activities -- Chapter 6. Coupling robust optimization and Model-Checking techniques for robust scheduling in the context of Industry 4.0 -- Chapter 7. Integrated scheduling of information services and logistics flows in the omnichannel system -- Chapter 8. Human-oriented assembly line balancing and sequencing model in the Industry 4.0 era -- Chapter 9. A generic decision support tool to planning and assignment problems: Industrial applications & Industry 4.0 -- Chapter 10. The Manufacturing Planning and Control system: a journey towards the new perspectives in Industry 4.0 architectures -- Chapter 11. Multi-criteria single batch machine scheduling under time-of-use tariffs -- Chapter 12. Service composition in cloud manufacturing: a DQN-based approach -- Chapter 13. The Tolerance Scheduling Problem in a single machine case.

This book has resulted from the activities of IFAC TC 5.2 "Manufacturing Modelling for Management and Control". The book offers an introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0. 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.

ISBN: 9783030431778$q(electronic bk.)

Standard No.: 10.1007/978-3-030-43177-8doiSubjects--Topical Terms:

202753
Production scheduling.

LC Class. No.: TS157.5 / .S343 2020

Dewey Class. No.: 658.53

Scheduling in Industry 4.0 and cloud manufacturing
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505 0 $a Chapter 1. Introduction to scheduling in Industry 4.0 and cloud manufacturing systems -- Chapter 2. Proactive scheduling and reactive real time control in Industry 4.0 -- Chapter 3. Using a digital-twin for production planning and control in Industry 4.0 -- Chapter 4. Adaptive Scheduling in the era of Cloud Manufacturing -- Chapter 5. Cloud Material Handling Systems: conceptual model and cloud-based scheduling of handling activities -- Chapter 6. Coupling robust optimization and Model-Checking techniques for robust scheduling in the context of Industry 4.0 -- Chapter 7. Integrated scheduling of information services and logistics flows in the omnichannel system -- Chapter 8. Human-oriented assembly line balancing and sequencing model in the Industry 4.0 era -- Chapter 9. A generic decision support tool to planning and assignment problems: Industrial applications & Industry 4.0 -- Chapter 10. The Manufacturing Planning and Control system: a journey towards the new perspectives in Industry 4.0 architectures -- Chapter 11. Multi-criteria single batch machine scheduling under time-of-use tariffs -- Chapter 12. Service composition in cloud manufacturing: a DQN-based approach -- Chapter 13. The Tolerance Scheduling Problem in a single machine case.
520 $a This book has resulted from the activities of IFAC TC 5.2 "Manufacturing Modelling for Management and Control". The book offers an introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0. 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.
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