Table Of Content

Smart 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