Scheduling in Industry 4.0 and Cloud Manufacturing

  • Boris Sokolov
  • Dmitry Ivanov
  • Alexandre Dolgui

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 289)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Dmitry Ivanov, Boris Sokolov, Alexandre Dolgui
    Pages 1-9
  3. Dmitry Ivanov, Boris Sokolov, Frank Werner, Alexandre Dolgui
    Pages 11-37
  4. Ícaro Romolo Sousa Agostino, Eike Broda, Enzo M. Frazzon, Michael Freitag
    Pages 39-60
  5. Pascale Marangé, David Lemoine, Alexis Aubry, Sara Himmiche, Sylvie Norre, Christelle Bloch et al.
    Pages 103-124
  6. Daria Battini, Serena Finco, Fabio Sgarbossa
    Pages 141-165
  7. Andrea Grassi, Guido Guizzi, Liberatina Carmela Santillo, Silvestro Vespoli
    Pages 193-216
  8. Junheng Cheng, Feng Chu, Peng Wu
    Pages 217-237
  9. Haifeng Zhang, Yongkui Liu, Huagang Liang, Lihui Wang, Lin Zhang
    Pages 239-254
  10. Daniel Alejandro Rossit, Fernando Tohmé, Gonzalo Mejía Delgadillo
    Pages 255-273

About this book


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.


Scheduling Optimal Control Industry 4.0 Deterministic Maximum Principle Control Models Smart Manufacturing Supply Chain Control Adaptive Supply Chain Scheduling

Editors and affiliations

  • Boris Sokolov
    • 1
  • Dmitry Ivanov
    • 2
  • Alexandre Dolgui
    • 3
  1. 1.Saint Petersburg Institute for Informatics and Automation of the RAS (SPIIRAS)St. PetersburgRussia
  2. 2.Berlin School of Economics and LawBerlinGermany
  3. 3.IMT Atlantique, LS2N—CNRSLa Chantrerie, NantesFrance

Bibliographic information

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