Table Of ContentSmart and Sustainable
Manufacturing Systems
for Industry 4.0
The current perspectives of smart and sustainable manufacturing systems hold
important implications for current practices and understanding these concepts for
further implications. This comprehensive reference text discusses both centralized
and decentralized production systems using a variety of new cutting-edge approaches
to solve problems.
The text covers simulation-based approaches, including social network-based
approaches, discrete event-based approaches, and knowledge-based approaches for
smart and sustainable systems. It further covers mathematical models such as single-
objective, multi-objective, and many-objective. The text discusses important topics,
including energy efficiency, transportation constraints for efficient and effective
production, meta-heuristic and hybrid algorithms, and real-time monitoring and
analysis for smart and sustainable production.
This book:
• Presents approaches to meet the objectives of sustainability and smart
production systems.
• Discusses Internet of Things (IoT) and Industrial Internet of Things (IIoT)
concepts and their implementation for production systems.
• Covers the social network analysis method in distributed manufacturing
systems.
• Examines reckoning prognostics and diagnostics to monitor the health of
systems from the perspective of distributed manufacturing.
• Discusses aspects of Industry 4.0 in specific production systems.
The text will be useful for graduate students and professionals in the fields of
mechanical engineering, production engineering, industrial engineering, and
manufacturing.
With the approaches highlighted in the book, the carbon footprint can be reduced
to the highest extent, and the sustainable parameters of triple-bottom-line aspects
will be greatly improved.
Smart and Sustainable
Manufacturing Systems
for Industry 4.0
Edited by
Vijaya Kumar Manupati,
Goran D. Putnik
Maria Leonilde Rocha Varela
First edition published 2023
by CRC Press
6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487–2742
and by CRC Press
4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN
CRC Press is an imprint of Taylor & Francis Group, LLC
© 2023 selection and editorial matter, Vijaya Kumar Manupati, Goran D. Putnik,
Maria Leonilde Rocha Varela; individual chapters, the contributors
Reasonable efforts have been made to publish reliable data and information, but the
author and publisher cannot assume responsibility for the validity of all materials or
the consequences of their use. The authors and publishers have attempted to trace
the copyright holders of all material reproduced in this publication and apologize to
copyright holders if permission to publish in this form has not been obtained. If any
copyright material has not been acknowledged please write and let us know so we
may rectify in any future reprint.
Except as permitted under U.S. Copyright Law, no part of this book may be reprinted,
reproduced, transmitted, or utilized in any form by any electronic, mechanical, or
other means, now known or hereafter invented, including photocopying, microfilming,
and recording, or in any information storage or retrieval system, without written
permission from the publishers.
For permission to photocopy or use material electronically from this work, access
www.copyright.com or contact the Copyright Clearance Center, Inc. (CCC), 222
Rosewood Drive, Danvers, MA 01923, 978–750–8400. For works that are not
available on CCC please contact [email protected]
Trademark notice: Product or corporate names may be trademarks or registered
trademarks and are used only for identification and explanation without intent to
infringe.
ISBN: 978-0-367-64302-7 (hbk)
ISBN: 978-0-367-64303-4 (pbk)
ISBN: 978-1-003-12386-6 (ebk)
DOI: 10.1201/9781003123866
Typeset in Times
by Apex CoVantage, LLC
Contents
Preface ...................................................................................................................... vii
Editors ....................................................................................................................... ix
Contributors .............................................................................................................. xi
Chapter 1 A Framework for Collaborative Practices Platforms for Humans
and Machines in Industry 4.0–Oriented Smart and Sustainable
Manufacturing Environments ............................................................... 1
Luís Ferreira, Goran D. Putnik, Maria Leonilde Rocha Varela,
Vijaya K Manupati, Nuno Lopes, Manuela Cunha, Cátia Alves
and Hélio Castro
Chapter 2 Key Enabling Technologies, Methodologies, Frameworks, Tools
and Techniques of Smart and Sustainable Systems ............................ 25
Leonel Patrício, Paulo Ávila, Maria Leonilde Rocha Varela,
Fernando Romero, Goran D. Putnik, Hélio Castro and Luís Fonseca
Chapter 3 Real-Time Management-Based Production Scheduling for
Sustainability: An Introduction .......................................................... 45
Cátia Alves and Goran D. Putnik
Chapter 4 Human–Robot Collaboration in Industry: Threats and Opportunities .....65
Dario Antonelli and Giulia Bruno
Chapter 5 Machine Learning Applications for Industry 4.0 ............................... 85
Vaibhav Shah, D.E.B. Costa, S.F. Moreira, J.F. Lima, Maria
Leonilde Rocha Varela and Goran D. Putnik
Chapter 6 Evaluating the Make-to-Order Performance of Production
Control Systems in a Re-Entrant Flow Shop .................................... 119
Ana Araújo, Margarida Pires, Maria Pereira, Sónia Ribeiro,
Maria Leonilde Rocha Varela, Marcelo Henriques, Luís Dias,
Guilherme Pereira, Nuno O. Fernandes and Sílvio Carmo-Silva
Chapter 7 Conceptual Multi-Agent System Design for Distributed
Scheduling Systems .......................................................................... 129
Filipe Alves, Ana Maria A. C. Rocha, Ana I. Pereira
and Paulo Leitão
v
vi Contents
Chapter 8 Environmental Impact Assessment during Additive
Manufacturing Production: Opportunities for Sustainability and
Industry 4.0 ....................................................................................... 149
Alok Yadav, Anbesh Jamwal, Rajeev Agrawal, Vijaya Kumar
Manupati and Jose Machado
Chapter 9 Build Orientation Optimization of Car Hoodvent with Additive
Manufacturing .................................................................................. 163
Marina A. Matos, Ana Maria A.C. Rocha, Lino A. Costa and
Ana I. Pereira
Chapter 10 Test Bed Problem: Case Study—Design for Customization of an
Assistive Device for Daily Activities ............................................... 193
Zilda de Castro Silveira
Chapter 11 Open Design Concepts (Complementary Text for Chapter 1) ......... 237
Zilda de Castro Silveira
Index ...................................................................................................................... 251
Preface
Recent paradigm shifts such as Industry 4.0, smart manufacturing, and China
Manufacturing 2025 have changed the phases of production and manufacturing
systems to a great extent. In other words, manufacturing has shifted from knowledge-
based intelligent manufacturing to data- and knowledge-driven smart manufac
turing. In order to convert the unprecedented volume of data into actionable and
insightful information, there is a need for state-of-the-art technologies such as
the Internet of Things (IoT), cyber-physical systems, artificial intelligence, machine
learning, and deep learning techniques that act as catalysts for the previously men
tioned new manufacturing paradigms. In addition to the mentioned technologies that
cater to the needs of traditional approaches, achieving efficiency for today’s cus
tomized, made-to-order, and decentralized environments requires a special kind of
platform. Hence, besides the previously mentioned approaches, Industry 4.0 places
emphasis on connecting digital technology, cyber-physical systems, and blockchain
technology to achieve the need for connectedness and access to real-time processes,
products, and people. Moreover, it is vital to investigate the approaches necessary
to solve complex real-life problems using recent technologies. However, one must
be aware of th other side of the coin, that is, challenges like security, sustainability,
and proliferation of multi-modal data to overcome for better outcomes. However, the
European Union has already taken concrete steps in the directions of controlling,
coordinating, and communicating with triple-bottom-line aspects to meet the stan
dards. Developing countries, particularly Brazil, Russia, India, and China (BRIC),
have already taken part in this initiative.
vii
Editors
Dr. Vijaya Kumar Manupati is currently working as an assistant professor in
the Operations and Supply Chain, NITIE Mumbai. He received his Ph.D. in the
Department of Industrial and Systems Engineering from the Indian Institute of
Technology Kharagpur. His current research interests include intelligent manu
facturing systems; agent/multi-agent/mobile-agent systems for distributed control,
simulation, integration of process planning, and scheduling in manufacturing; sus
tainable supply chains; and evolutionary algorithms. He has more than 75 publica
tions, which include journals like the International Journal of Production Research,
Computers, and Industrial Engineering; International Journal of Advanced
Manufacturing Technology; Journal of Engineering; Journal of Measurements;
International Journal of Computer Integrated Manufacturing; and others. He acts
as an international reviewer for more than 30 peer-reviewed journals. Currently, he
is as an editorial review board member of the International Journal of Sustainable
Entrepreneurship and Corporate Social Responsibility, IGI Global Publications.
He received an Early Career Research Grant from the Department of Science and
Technology (DST) for his research work on telefacturing systems. He is a member of
the Institute of Industrial and Systems Engineering (IISE) and Institute of Engineers
India (IEI) and a life member of the International Association of Engineers, US, and
also acts as a technical committee member of various international conferences.
Maria Leonilde Rocha Varela received her Ph.D. in industrial engineering and
management from the University of Minho, Portugal, in 2007. She is an assistant
professor at the Department of Production and Systems of the University of Minho.
Her main research interests are in manufacturing management, production planning
and control, optimization, artificial intelligence, meta-heuristics, scheduling, web
based systems, services, and technologies, mainly for supporting engineering and
production management, collaborative networks, decision-making models, meth
ods and systems, and virtual and distributed enterprises for Industry 4.0. She has
published more than 200 refereed scientific papers in international conferences and
international scientific books and journals indexed in the Web of Science and/or in
the Scopus database. She coordinates R&D projects in the area of production and
systems engineering concerning the development of web-based platforms and deci
sion support models, methods, and systems.
Goran D. Putnik is Professor (Full), University of do Minho, Braga, Portugal. His
education qualifications include a Diploma Engineer (five-year graduation course) in
production engineering, Faculty of Mechanical Engineering, University of Belgrade,
Belgrade, Serbia; M.Sc. in September 1988 (two-year postgraduate course) in pro
duction engineering, Faculty of Mechanical Engineering, University of Belgrade,
Belgrade, Serbia; Dr.Sc. in January 1993 (three-year postgraduate course) in pro
duction engineering, Faculty of Mechanical Engineering, University of Belgrade,
Belgrade, Serbia; the equivalency of Dr.Sc. in September 1994 by the University of
ix
