Scheduling in Industry 4.0 and Cloud Manufacturing

✍ Scribed by Boris Sokolov, Dmitry Ivanov, Alexandre Dolgui

• Publisher: Springer International Publishing;Springer
• Year: 2020
• Tongue: English
• Leaves: 274
• Series: International Series in Operations Research & Management Science 289
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-vi
Introduction to Scheduling in Industry 4.0 and Cloud Manufacturing Systems (Dmitry Ivanov, Boris Sokolov, Alexandre Dolgui)....Pages 1-9
Proactive Scheduling and Reactive Real-Time Control in Industry 4.0 (Dmitry Ivanov, Boris Sokolov, Frank Werner, Alexandre Dolgui)....Pages 11-37
Using a Digital Twin for Production Planning and Control in Industry 4.0 (Ícaro Romolo Sousa Agostino, Eike Broda, Enzo M. Frazzon, Michael Freitag)....Pages 39-60
Adaptive Scheduling in the Era of Cloud Manufacturing (D. Mourtzis)....Pages 61-85
Cloud Material Handling Systems: Conceptual Model and Cloud-Based Scheduling of Handling Activities (Fabio Sgarbossa, Mirco Peron, Giuseppe Fragapane)....Pages 87-101
Coupling Robust Optimization and Model-Checking Techniques for Robust Scheduling in the Context of Industry 4.0 (Pascale Marangé, David Lemoine, Alexis Aubry, Sara Himmiche, Sylvie Norre, Christelle Bloch et al.)....Pages 103-124
Integrated Scheduling of Information Services and Logistics Flows in the Omnichannel System (Dmitry Ivanov, Boris Sokolov)....Pages 125-140
Human-Oriented Assembly Line Balancing and Sequencing Model in the Industry 4.0 Era (Daria Battini, Serena Finco, Fabio Sgarbossa)....Pages 141-165
A Generic Decision Support Tool to Planning and Assignment Problems: Industrial Applications and Industry 4.0 (Nathalie Klement, Cristóvão Silva)....Pages 167-192
The Manufacturing Planning and Control System: A Journey Towards the New Perspectives in Industry 4.0 Architectures (Andrea Grassi, Guido Guizzi, Liberatina Carmela Santillo, Silvestro Vespoli)....Pages 193-216
Multi-Criteria Single Batch Machine Scheduling Under Time-of-Use Tariffs (Junheng Cheng, Feng Chu, Peng Wu)....Pages 217-237
Service Composition in Cloud Manufacturing: A DQN-Based Approach (Haifeng Zhang, Yongkui Liu, Huagang Liang, Lihui Wang, Lin Zhang)....Pages 239-254
The Tolerance Scheduling Problem in a Single Machine Case (Daniel Alejandro Rossit, Fernando Tohmé, Gonzalo Mejía Delgadillo)....Pages 255-273

✦ Subjects

Business and Management; Operations Research/Decision Theory; Industrial and Production Engineering; Supply Chain Management