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Sustainable Manufacturing for Industry 4. 0 : An Augmented Approach.

By: Contributor(s): Material type: TextTextSeries: Manufacturing Design and Technology SeriesPublisher: Milton : Taylor & Francis Group, 2020Copyright date: ©2021Edition: 1st edDescription: 1 online resource (281 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780429881206
Subject(s): Genre/Form: Additional physical formats: Print version:: Sustainable Manufacturing for Industry 4. 0DDC classification:
  • 670
LOC classification:
  • TS155.7 .S878 2020
Online resources:
Contents:
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- Preface -- Editors -- Contributors -- Chapter 1 Concept of Industry 4.0 -- 1.1 Introduction and Evolution of Industry 4.0 -- 1.1.1 Introduction -- 1.1.2 What Is Industry 4.0? -- 1.1.3 Components of Industry 4.0 -- 1.1.4 Benefits of Industry 4.0 -- 1.1.5 Conclusion -- References -- 1.2 Characteristics and Design Principles of Industry 4.0 -- 1.2.1 Introduction -- 1.2.2 Characteristics of Industry 4.0 -- 1.2.2.1 Horizontal and Vertical Integration -- 1.2.2.2 Demand and Marketing -- 1.2.2.3 Digital Supply Chain and Production -- 1.2.2.4 Digital Products and Services -- 1.2.2.5 Digital Customer Experience -- 1.2.3 Design Principles -- 1.2.3.1 Interoperability -- 1.2.3.2 Virtualisation -- 1.2.3.3 Decentralisation -- 1.2.3.4 Real-Time Capability -- 1.2.3.5 Service-Orientation -- 1.2.3.6 Modularity -- 1.2.4 Challenges Involved in Executing Industry 4.0 Framework -- 1.2.5 Conclusions -- References -- Chapter 2 Sustainable Manufacturing and Industry 4.0 -- 2.1 Design for Sustainability and Its Framework -- 2.1.1 Introduction -- 2.1.2 Among the Industrial Revolutions -- 2.1.2.1 Systematic Changes While Adopting I.4.0 -- 2.1.2.2 Speculative Stochastic Process of I.4.0 -- 2.1.3 Applying Sustainability to the Supply Chain -- 2.1.3.1 I.o.T. Empowered Production for Sustainability -- 2.1.3.2 Robot Interaction for Human Sustainability -- 2.1.4 Correlation of I.4.0 and Sustainability -- 2.1.5 Concluding Remarks -- References -- 2.2 Orientation of Sustainable Product Development -- 2.2.1 Introduction -- 2.2.2 Cyber-Physical Systems -- 2.2.3 Internet of Things -- 2.2.3.1 I.o.T. Employed within Production Management -- 2.2.4 Cloud Computing -- 2.2.5 Conclusion -- References -- 2.3 End of Life Disposal and Sustainable Industrial Waste Management in Industry 4.0.
2.3.1 Introduction -- 2.3.1.1 Effect of End of Life Disposal on Economy -- 2.3.1.2 Brief Introduction of Industry 4.0 -- 2.3.2 End of Life (E.O.L.) Disposal -- 2.3.2.1 End of Life Disposal for Biodegradable Waste -- 2.3.2.2 Footwear Industry -- 2.3.2.3 End of Life Disposal of Non-biodegradable Waste -- 2.3.3 Sustainable Waste Management - A Necessity for Industry 4.0 -- 2.3.3.1 Important Elements of Industry 4.0 -- 2.3.3.2 Smart Industries -- 2.3.3.3 Necessity of Industry 4.0 -- 2.3.3.4 Sustainable Manufacturing in Industry 4.0 -- 2.3.3.5 Advantages of Sustainable Manufacturing -- 2.3.4 Conclusion -- References -- Chapter 3 Innovation for Smart Factories -- 3.1 Role of Industrial Internet of Things (I.I.o.T.) Manufacturing -- 3.1.1 Introduction to the Role of the Industrial Internet of Things (I.I.o.T.) Manufacturing -- 3.1.1.1 Evolution of I.I.o.T. in Industry -- 3.1.2 I.o.T. Manufacturing Operations -- 3.1.2.1 Intelligent Manufacturing -- 3.1.2.2 Asset Management -- 3.1.2.3 Planning -- 3.1.2.4 Monitoring -- 3.1.2.5 Types of Condition Monitoring -- 3.1.3 Importance of Data in I.o.T. Manufacturing -- 3.1.4 Benefits of I.o.T. in Manufacturing -- 3.1.5 Conclusion -- References -- 3.2 Big Data and Its Importance in Manufacturing -- 3.2.1 Introduction -- 3.2.2 Challenges in Manufacturing Industries -- 3.2.3 What Is Big Data? -- 3.2.4 Impact of Big Data in Manufacturing -- 3.2.5 How to Adopt Big Data Analytics? -- 3.2.6 Conclusion -- References -- 3.3 Networking for Industry 4.0 -- 3.3.1 Introduction to Networking for Industry 4.0 -- 3.3.1.1 Mass Communication -- 3.3.1.2 Flexibility -- 3.3.1.3 Factory Visibility -- 3.3.1.4 Connected Supply Chain -- 3.3.1.5 Energy Management -- 3.3.1.6 Creating Values -- 3.3.1.7 Remote Monitoring -- 3.3.1.8 Proactive Industry Maintains -- 3.3.1.9 External Communication for Devices through Gateway S.D.N.
3.3.1.10 Connection and Management of Data in the Cloud -- 3.3.1.11 Dynamic Management of Smart Devices -- 3.3.1.12 Feed of Data and Automatic Decision-Making -- 3.3.1.13 Optimisation of Customers Directly with Industry 4.0 -- 3.3.2 History of Networking in Industry -- 3.3.3 Need for Networking in Industry -- 3.3.4 Vision for Networking in Industry -- 3.3.5 Initialisation of and Basic Matters about Networking in Industry -- 3.3.6 Requirement, Assessment and Methodology of Networking in Industry -- 3.3.6.1 Methodology -- 3.3.7 Advantages, Disadvantages and Limitations -- 3.3.7.1 Advantages of Industry 4.0 -- 3.3.7.2 Difficulties Confronting Industry 4.0 -- 3.3.7.3 Limitations -- 3.3.8 Conclusion and Future Scope -- 3.3.8.1 Conclusion -- 3.3.8.2 Future Scope -- Bibliography -- 3.4 Analysis of Drivers for Cloud Manufacturing and Its Integration with Industry 4.0 Using the MCDM Technique -- 3.4.1 Introduction -- 3.4.2 Literature Review -- 3.4.3 Methodology -- 3.4.4 Case Study -- 3.4.5 Analysis Using A.H.P. Methodology -- 3.4.6 Normalisation Calculation -- 3.4.7 Results and Discussion -- 3.4.8 Conclusion -- References -- Chapter 4 Decision-Making to Achieve Sustainability in Factories -- 4.1 Artificial Intelligence (A.I.) and Industry 4.0 -- 4.1.1 Elements in Artificial Intelligence: ABCDE -- 4.1.2 Challenges of Artificial Intelligence -- 4.1.2.1 Introduction to A.I. -- 4.1.2.2 History of A.I. -- 4.1.2.3 Explanation of Artificial Intelligence -- 4.1.2.4 Typical A.I. Problems -- 4.1.2.5 Advantages and Disadvantages of A.I. -- 4.1.2.6 A.I. Models -- 4.1.2.7 Application of A.I. -- 4.1.2.8 Image Processing through Artificial Intelligence -- 4.1.2.9 Artificial Intelligence in the Clothing Industry -- 4.1.2.10 Impact of A.I. on Some Other Industries -- 4.1.3.1 Industry 4.0 -- 4.1.3.2 Defining Industry 4.0 -- 4.1.3.3 Why Industry 4.0?.
4.1.3.4 Introduction to the Smart Factory -- 4.1.3.5 Advantages of Industry 4.0 -- 4.1.3.6 Disadvantages of Industry 4.0 -- 4.1.3.7 Applications -- 4.1.4 Conclusion -- Bibliography -- 4.2 Role of Machine Learning in Industry 4.0 -- 4.2.1 Introduction -- 4.2.2 History of Machine Learning -- 4.2.3 Machine Learning -- 4.2.4 Broad Classification of Machine Learning -- 4.2.4.1 Supervised Learning -- 4.2.4.2 Unsupervised Learning -- 4.2.5 Methods of Learning -- 4.2.5.1 Concept Learning -- 4.2.5.2 Decision Tree Learning -- 4.2.6 Perceptron Learning -- 4.2.6.1 Bayesian Learning -- 4.2.6.2 Reinforcement Learning -- 4.2.7 Artificial Neural Network and Deep Learning -- 4.2.7.1 Artificial Neural Network -- 4.2.7.2 Deep Learning -- 4.2.8 What Can Machine Learning do? -- 4.2.8.1 Data Mining -- 4.2.8.2 Quality Management -- 4.2.8.3 Predictive Maintenance -- 4.2.8.4 Supply Chain Management -- 4.2.8.5 Process Planning -- 4.2.8.6 Operation Selection and Planning -- 4.2.8.7 Tool Condition Monitoring -- 4.2.8.8 Process Modelling -- 4.2.9 Applications of Machine Learning -- 4.2.9.1 Manufacturing Industry -- 4.2.9.2 Finance Sector -- 4.2.9.3 Process Automation -- 4.2.9.4 Security -- 4.2.9.5 Guaranteeing and Credit Scoring -- 4.2.9.6 Robo-Advisors -- 4.2.9.7 Healthcare Industries -- 4.2.9.8 Cancer Diagnosis -- 4.2.9.9 Detection of Haemorrhage -- 4.2.9.10 Robo-Assisted Surgery -- 4.2.9.11 Retail Industry -- 4.2.10 Future Scope of Machine Learning -- 4.2.11 Conclusions -- References -- 4.3 Software Development for Industry 4.0 -- 4.3.1 Introduction -- 4.3.2 History of Software in Manufacturing Industries -- 4.3.3 Need for Software Development in Industries? -- 4.3.4 Vision for Software Development for Industries -- 4.3.5 Comparison of Past and Present Scenario of Software in Industries -- 4.3.6 Expecting Future Software Development in Industries 2050.
4.3.7 Method Used for Selection Software in Industry -- 4.3.7.1 Waterfall Development Methodology -- 4.3.7.2 Rapid Application Development Methodology -- 4.3.7.3 Agile Development Methodology -- 4.3.7.4 DevOps Deployment Methodology -- 4.3.8 Available Software for Different Areas in Industries -- 4.3.8.1 Industrial Design Software -- 4.3.8.2 Information Technology Industry -- 4.3.9 Summary -- 4.3.10 Conclusion -- References -- Chapter 5 Sustainable SMART Factories: Compliance with Environmental Aspects -- 5.1 Monitoring Manufacturing Process Parameters for Negative Environmental Impacts: Case Study from Colombia -- 5.1.1 Introduction -- 5.1.2 Environmental Impact Measurement -- 5.1.2.1 Functions and Characteristics of Composite Indicators of Environmental Performance -- 5.1.2.2 Environmental Performance Indicators Classification -- 5.1.3 Colombian Case Study -- 5.1.3.1 Pressures Facing the Colombian Manufacturing Sector at National and Regional Level -- 5.1.3.2 Industry 4.0 Sector in Colombia -- 5.1.4 Conclusions and Recommendations -- References -- 5.2 ERP Systems and SCM in Industry 4.0 -- 5.2.1 Introduction -- 5.2.2 Challenges in the Supply Chain -- 5.2.3 Phases of Product Value Chain -- 5.2.4 Capitalising on Industry 4.0 Technologies in Supply Chain -- 5.2.4.1 Influence of Industry 4.0 in Supply Chain -- 5.2.5 The Digital Transformation of Supply Chain in Industry 4.0 -- 5.2.5.1 Raw Materials and Raw Materials Processing -- 5.2.5.2 Design -- 5.2.5.3 Manufacturing -- 5.2.5.4 Distribution -- 5.2.5.5 Sales -- 5.2.5.6 Use Phase -- 5.2.5.7 Extended Life of the Product - Make a Sustainable Impact -- 5.2.6 Conclusion -- Abbreviations -- References -- 5.3 The Importance of Additive Manufacturing - Factories of the Future -- 5.3.1 Introduction -- 5.3.2 Materials for A.M. -- 5.3.2.1 Polymers -- 5.3.2.2 Metals -- 5.3.2.3 Ceramics -- 5.3.2.4 Composites.
5.3.3 Smart Materials for Industry 4.0.
Summary: This book is a contemporary tool to identify the importance of Industry 4.0 and its allied areas in the field of manufacturing and industrial systems engineering, in the context of sustainable manufacturing. It allows the readers to pursue applied research in the field and will be most beneficial to researchers, practitioners, and research labs.
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Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- Preface -- Editors -- Contributors -- Chapter 1 Concept of Industry 4.0 -- 1.1 Introduction and Evolution of Industry 4.0 -- 1.1.1 Introduction -- 1.1.2 What Is Industry 4.0? -- 1.1.3 Components of Industry 4.0 -- 1.1.4 Benefits of Industry 4.0 -- 1.1.5 Conclusion -- References -- 1.2 Characteristics and Design Principles of Industry 4.0 -- 1.2.1 Introduction -- 1.2.2 Characteristics of Industry 4.0 -- 1.2.2.1 Horizontal and Vertical Integration -- 1.2.2.2 Demand and Marketing -- 1.2.2.3 Digital Supply Chain and Production -- 1.2.2.4 Digital Products and Services -- 1.2.2.5 Digital Customer Experience -- 1.2.3 Design Principles -- 1.2.3.1 Interoperability -- 1.2.3.2 Virtualisation -- 1.2.3.3 Decentralisation -- 1.2.3.4 Real-Time Capability -- 1.2.3.5 Service-Orientation -- 1.2.3.6 Modularity -- 1.2.4 Challenges Involved in Executing Industry 4.0 Framework -- 1.2.5 Conclusions -- References -- Chapter 2 Sustainable Manufacturing and Industry 4.0 -- 2.1 Design for Sustainability and Its Framework -- 2.1.1 Introduction -- 2.1.2 Among the Industrial Revolutions -- 2.1.2.1 Systematic Changes While Adopting I.4.0 -- 2.1.2.2 Speculative Stochastic Process of I.4.0 -- 2.1.3 Applying Sustainability to the Supply Chain -- 2.1.3.1 I.o.T. Empowered Production for Sustainability -- 2.1.3.2 Robot Interaction for Human Sustainability -- 2.1.4 Correlation of I.4.0 and Sustainability -- 2.1.5 Concluding Remarks -- References -- 2.2 Orientation of Sustainable Product Development -- 2.2.1 Introduction -- 2.2.2 Cyber-Physical Systems -- 2.2.3 Internet of Things -- 2.2.3.1 I.o.T. Employed within Production Management -- 2.2.4 Cloud Computing -- 2.2.5 Conclusion -- References -- 2.3 End of Life Disposal and Sustainable Industrial Waste Management in Industry 4.0.

2.3.1 Introduction -- 2.3.1.1 Effect of End of Life Disposal on Economy -- 2.3.1.2 Brief Introduction of Industry 4.0 -- 2.3.2 End of Life (E.O.L.) Disposal -- 2.3.2.1 End of Life Disposal for Biodegradable Waste -- 2.3.2.2 Footwear Industry -- 2.3.2.3 End of Life Disposal of Non-biodegradable Waste -- 2.3.3 Sustainable Waste Management - A Necessity for Industry 4.0 -- 2.3.3.1 Important Elements of Industry 4.0 -- 2.3.3.2 Smart Industries -- 2.3.3.3 Necessity of Industry 4.0 -- 2.3.3.4 Sustainable Manufacturing in Industry 4.0 -- 2.3.3.5 Advantages of Sustainable Manufacturing -- 2.3.4 Conclusion -- References -- Chapter 3 Innovation for Smart Factories -- 3.1 Role of Industrial Internet of Things (I.I.o.T.) Manufacturing -- 3.1.1 Introduction to the Role of the Industrial Internet of Things (I.I.o.T.) Manufacturing -- 3.1.1.1 Evolution of I.I.o.T. in Industry -- 3.1.2 I.o.T. Manufacturing Operations -- 3.1.2.1 Intelligent Manufacturing -- 3.1.2.2 Asset Management -- 3.1.2.3 Planning -- 3.1.2.4 Monitoring -- 3.1.2.5 Types of Condition Monitoring -- 3.1.3 Importance of Data in I.o.T. Manufacturing -- 3.1.4 Benefits of I.o.T. in Manufacturing -- 3.1.5 Conclusion -- References -- 3.2 Big Data and Its Importance in Manufacturing -- 3.2.1 Introduction -- 3.2.2 Challenges in Manufacturing Industries -- 3.2.3 What Is Big Data? -- 3.2.4 Impact of Big Data in Manufacturing -- 3.2.5 How to Adopt Big Data Analytics? -- 3.2.6 Conclusion -- References -- 3.3 Networking for Industry 4.0 -- 3.3.1 Introduction to Networking for Industry 4.0 -- 3.3.1.1 Mass Communication -- 3.3.1.2 Flexibility -- 3.3.1.3 Factory Visibility -- 3.3.1.4 Connected Supply Chain -- 3.3.1.5 Energy Management -- 3.3.1.6 Creating Values -- 3.3.1.7 Remote Monitoring -- 3.3.1.8 Proactive Industry Maintains -- 3.3.1.9 External Communication for Devices through Gateway S.D.N.

3.3.1.10 Connection and Management of Data in the Cloud -- 3.3.1.11 Dynamic Management of Smart Devices -- 3.3.1.12 Feed of Data and Automatic Decision-Making -- 3.3.1.13 Optimisation of Customers Directly with Industry 4.0 -- 3.3.2 History of Networking in Industry -- 3.3.3 Need for Networking in Industry -- 3.3.4 Vision for Networking in Industry -- 3.3.5 Initialisation of and Basic Matters about Networking in Industry -- 3.3.6 Requirement, Assessment and Methodology of Networking in Industry -- 3.3.6.1 Methodology -- 3.3.7 Advantages, Disadvantages and Limitations -- 3.3.7.1 Advantages of Industry 4.0 -- 3.3.7.2 Difficulties Confronting Industry 4.0 -- 3.3.7.3 Limitations -- 3.3.8 Conclusion and Future Scope -- 3.3.8.1 Conclusion -- 3.3.8.2 Future Scope -- Bibliography -- 3.4 Analysis of Drivers for Cloud Manufacturing and Its Integration with Industry 4.0 Using the MCDM Technique -- 3.4.1 Introduction -- 3.4.2 Literature Review -- 3.4.3 Methodology -- 3.4.4 Case Study -- 3.4.5 Analysis Using A.H.P. Methodology -- 3.4.6 Normalisation Calculation -- 3.4.7 Results and Discussion -- 3.4.8 Conclusion -- References -- Chapter 4 Decision-Making to Achieve Sustainability in Factories -- 4.1 Artificial Intelligence (A.I.) and Industry 4.0 -- 4.1.1 Elements in Artificial Intelligence: ABCDE -- 4.1.2 Challenges of Artificial Intelligence -- 4.1.2.1 Introduction to A.I. -- 4.1.2.2 History of A.I. -- 4.1.2.3 Explanation of Artificial Intelligence -- 4.1.2.4 Typical A.I. Problems -- 4.1.2.5 Advantages and Disadvantages of A.I. -- 4.1.2.6 A.I. Models -- 4.1.2.7 Application of A.I. -- 4.1.2.8 Image Processing through Artificial Intelligence -- 4.1.2.9 Artificial Intelligence in the Clothing Industry -- 4.1.2.10 Impact of A.I. on Some Other Industries -- 4.1.3.1 Industry 4.0 -- 4.1.3.2 Defining Industry 4.0 -- 4.1.3.3 Why Industry 4.0?.

4.1.3.4 Introduction to the Smart Factory -- 4.1.3.5 Advantages of Industry 4.0 -- 4.1.3.6 Disadvantages of Industry 4.0 -- 4.1.3.7 Applications -- 4.1.4 Conclusion -- Bibliography -- 4.2 Role of Machine Learning in Industry 4.0 -- 4.2.1 Introduction -- 4.2.2 History of Machine Learning -- 4.2.3 Machine Learning -- 4.2.4 Broad Classification of Machine Learning -- 4.2.4.1 Supervised Learning -- 4.2.4.2 Unsupervised Learning -- 4.2.5 Methods of Learning -- 4.2.5.1 Concept Learning -- 4.2.5.2 Decision Tree Learning -- 4.2.6 Perceptron Learning -- 4.2.6.1 Bayesian Learning -- 4.2.6.2 Reinforcement Learning -- 4.2.7 Artificial Neural Network and Deep Learning -- 4.2.7.1 Artificial Neural Network -- 4.2.7.2 Deep Learning -- 4.2.8 What Can Machine Learning do? -- 4.2.8.1 Data Mining -- 4.2.8.2 Quality Management -- 4.2.8.3 Predictive Maintenance -- 4.2.8.4 Supply Chain Management -- 4.2.8.5 Process Planning -- 4.2.8.6 Operation Selection and Planning -- 4.2.8.7 Tool Condition Monitoring -- 4.2.8.8 Process Modelling -- 4.2.9 Applications of Machine Learning -- 4.2.9.1 Manufacturing Industry -- 4.2.9.2 Finance Sector -- 4.2.9.3 Process Automation -- 4.2.9.4 Security -- 4.2.9.5 Guaranteeing and Credit Scoring -- 4.2.9.6 Robo-Advisors -- 4.2.9.7 Healthcare Industries -- 4.2.9.8 Cancer Diagnosis -- 4.2.9.9 Detection of Haemorrhage -- 4.2.9.10 Robo-Assisted Surgery -- 4.2.9.11 Retail Industry -- 4.2.10 Future Scope of Machine Learning -- 4.2.11 Conclusions -- References -- 4.3 Software Development for Industry 4.0 -- 4.3.1 Introduction -- 4.3.2 History of Software in Manufacturing Industries -- 4.3.3 Need for Software Development in Industries? -- 4.3.4 Vision for Software Development for Industries -- 4.3.5 Comparison of Past and Present Scenario of Software in Industries -- 4.3.6 Expecting Future Software Development in Industries 2050.

4.3.7 Method Used for Selection Software in Industry -- 4.3.7.1 Waterfall Development Methodology -- 4.3.7.2 Rapid Application Development Methodology -- 4.3.7.3 Agile Development Methodology -- 4.3.7.4 DevOps Deployment Methodology -- 4.3.8 Available Software for Different Areas in Industries -- 4.3.8.1 Industrial Design Software -- 4.3.8.2 Information Technology Industry -- 4.3.9 Summary -- 4.3.10 Conclusion -- References -- Chapter 5 Sustainable SMART Factories: Compliance with Environmental Aspects -- 5.1 Monitoring Manufacturing Process Parameters for Negative Environmental Impacts: Case Study from Colombia -- 5.1.1 Introduction -- 5.1.2 Environmental Impact Measurement -- 5.1.2.1 Functions and Characteristics of Composite Indicators of Environmental Performance -- 5.1.2.2 Environmental Performance Indicators Classification -- 5.1.3 Colombian Case Study -- 5.1.3.1 Pressures Facing the Colombian Manufacturing Sector at National and Regional Level -- 5.1.3.2 Industry 4.0 Sector in Colombia -- 5.1.4 Conclusions and Recommendations -- References -- 5.2 ERP Systems and SCM in Industry 4.0 -- 5.2.1 Introduction -- 5.2.2 Challenges in the Supply Chain -- 5.2.3 Phases of Product Value Chain -- 5.2.4 Capitalising on Industry 4.0 Technologies in Supply Chain -- 5.2.4.1 Influence of Industry 4.0 in Supply Chain -- 5.2.5 The Digital Transformation of Supply Chain in Industry 4.0 -- 5.2.5.1 Raw Materials and Raw Materials Processing -- 5.2.5.2 Design -- 5.2.5.3 Manufacturing -- 5.2.5.4 Distribution -- 5.2.5.5 Sales -- 5.2.5.6 Use Phase -- 5.2.5.7 Extended Life of the Product - Make a Sustainable Impact -- 5.2.6 Conclusion -- Abbreviations -- References -- 5.3 The Importance of Additive Manufacturing - Factories of the Future -- 5.3.1 Introduction -- 5.3.2 Materials for A.M. -- 5.3.2.1 Polymers -- 5.3.2.2 Metals -- 5.3.2.3 Ceramics -- 5.3.2.4 Composites.

5.3.3 Smart Materials for Industry 4.0.

This book is a contemporary tool to identify the importance of Industry 4.0 and its allied areas in the field of manufacturing and industrial systems engineering, in the context of sustainable manufacturing. It allows the readers to pursue applied research in the field and will be most beneficial to researchers, practitioners, and research labs.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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