"Focusing on the broader areas of Industry 4.0 as it applies to small and medium-sized enterprises (SMEs), this book offers a smooth adoption of techniques and technologies and presents advances, challenges, and opportunities for implementation. It will also enhance the role of academia by training new engineers on Industry 4.0 and digital transformation. Industry 4.0 in Small and Medium-Sized Enterprises (SMEs): Opportunities, Challenges, and Solutions presents concepts of predictive maintenance, digital factory, digital twin, additive manufacturing, and machining for sustainable development. It discusses the challenges faced by adopting Industry 4.0 including new security and privacy measures in the whole smart manufacturing setup while also explainingthe impact of Industry 4.0 on Lean production systems. Implementation recommendations in the form of case studies, research studies, and the role academia can play are also provided. Practitioners, research scholars, academicians, and those studying or working in the Industry 4.0 sector will find this book of interest"--
Focusing on the broader areas of Industry 4.0 as it applies to small and medium-sized enterprises (SMEs), this book offers a smooth adoption of techniques and technologies and presents advances, challenges, and opportunities for implementation.
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vii | |
| Editors |
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xi | |
| Contributors |
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xiii | |
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Chapter 1 Industry 4.0: An Introduction in the Context of SMEs |
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1 | (14) |
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Chapter 2 Indian SMEs - Opportunities and Challenges: Assessing Industry 4.0 Readiness |
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15 | (18) |
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Chapter 3 Paradigm Shift in Construction Processes with Industry 4.0 |
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33 | (20) |
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Chapter 4 Machinery Fault Detection using Artificial Intelligence in Industry 4.0 |
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53 | (18) |
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Chapter 5 A Multi-Agent Reinforcement Learning Approach for Spatiotemporal Sensing Application in Precision Agriculture |
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71 | (14) |
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Chapter 6 Digital Twin of a Laboratory Gas Turbine Engine Using Deep Learning Framework |
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85 | (24) |
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Chapter 7 A Case Study of Additive Manufacturing in Prosthesis Development in Industry 4.0 |
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109 | (14) |
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Chapter 8 Technology Gap Analysis with Respect to Mysore Printing Cluster: An Attractive Opportunity in Industry 4.0 Market |
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123 | (16) |
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Chapter 9 Intelligent Machining |
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139 | (16) |
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Chapter 10 Digital Market Scenario in India: A Case Study on "Unicorn" Indian Digital Start-Ups |
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155 | (14) |
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Chapter 11 Skill Requirement in Industry 4.0 |
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169 | (14) |
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Chapter 12 The Changing Role of Academics from the Perspective of Educational Transformation in Education 4.0 |
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183 | (14) |
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| Index |
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197 | |
Dr. Ketan Kotecha received his Doctorate degree from Indian Institute of Technology (IIT) Bombay in the year 2003. Artificial Intelligence, Machine Learning, Computer Algorithms, Machine Learning, and Higher Order Thinking skills are his core areas of research interest. He is presently working as the Dean, Faculty of Engineering and Director of Symbiosis Institute of Technology, Symbiosis International (Deemed University). He is also the Head of Symbiosis Centre for Applied Artificial Intelligence (SCAAI) & CEO of Symbiosis Centre for Entrepreneurship and Innovation.
Dr. Satish Kumar is an Assistant Professor in the Department of Mechanical Engineering and in charge of Advanced Manufacturing Technology Lab at Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune India. He completed his masters degree (MTech-Tool Engineering) in 2013 and Doctoral degree (PhD.) in 2020 from K Visvesvaraya Technological University, Belgaum, Karnataka, India. He has over 8 years of experience in teaching, research, and industry. His areas of research interests include Smart Manufacturing, Digital Twin, Condition Monitoring, Composites, Cryogenic Treatment, Additive manufacturing, and Hard materials machining. He has authored more than 28 international/national journal and conferences publications.
Dr. Arunkumar Bongale is an Associate Professor in the Mechanical Engineering department at the Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India. He has his bachelors degree in Mechanical Engineering, a masters degree in Computer Integrated Manufacturing and a PhD in Mechanical Engineering. He has more than 15 years of teaching and research experience. His research interests are Smart manufacturing, Robotics and Automation, material science, heat treatment, composite materials, and composite coating technology. He has authored more than 25 international/national journal and conferences publications.
Dr. R Suresh is an Associate Professor in the Department of Mechanical and Manufacturing Engineering at M.S. Ramaiah University of Applied Sciences, Bangalore, India. He did his Dr Master degree (M.Tech) and Doctoral degree (PhD) 2002 and 2013 from Kuvempu University, Karnataka, India. He has 24 years of experience in teaching research and industries. His areas of research interests include Composites, Surface coating, Additive manufacturing, Hard materials machining, numerical modelling, and experimental analysis of advanced materials.
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