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Sustainable Manufacturing for Industry 4.0: An Augmented Approach [Kõva köide]

Edited by , Edited by (University of Aveiro, Portugal), Edited by , Edited by , Edited by (School of Mechanical Engineering, Vellore Institute of Technology, Vellore, India.), Edited by (Univ Putra Malaysia, Selangor, Malaysia)
  • Formaat: Hardback, 256 pages, kõrgus x laius: 234x156 mm, kaal: 526 g, 19 Tables, black and white; 78 Illustrations, black and white
  • Sari: Manufacturing Design and Technology
  • Ilmumisaeg: 19-Oct-2020
  • Kirjastus: CRC Press
  • ISBN-10: 1138606847
  • ISBN-13: 9781138606845
Teised raamatud teemal:
Sustainable Manufacturing for Industry 4.0: An Augmented ApproachSuurem pilt
  • Formaat: Hardback, 256 pages, kõrgus x laius: 234x156 mm, kaal: 526 g, 19 Tables, black and white; 78 Illustrations, black and white
  • Sari: Manufacturing Design and Technology
  • Ilmumisaeg: 19-Oct-2020
  • Kirjastus: CRC Press
  • ISBN-10: 1138606847
  • ISBN-13: 9781138606845
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781138606845.html
Märksõnad:
"The book provides measures that can be adopted by practicing design engineers, to develop products that will be sustainable in all stages of its life cycle. It helps organizations in implementation of sustainable manufacturing practices and formulation of critical strategies in their transition towards Industry 4.0., and the book will provide insights on ways of deploying these practices in correlation with the environmental benefits mapped to support the practicing managers and stakeholders"--

Industry 4.0 promises tremendous opportunities for industries to go green by leveraging virtual physical systems and internet driven technologies for a competitive advantage and set the platform for the factory of the future and smart manufacturing.

The book provides measures that can be adopted by practicing design engineers, to develop products that will be sustainable in all stages of its life cycle. It helps organizations in implementation of sustainable manufacturing practices and formulation of critical strategies in their transition towards Industry 4.0., and the book will provide insights on ways of deploying these practices in correlation with the environmental benefits mapped to support the practicing managers and stakeholders.

Features

  • Assists in the understanding of the shifting paradigm in manufacturing sector towards smart and sustainable practices

  • Showcases contemporary technologies and their insurgence in existing industries

  • Focuses on need, applications, and implementation framework for Industry 4.0

  • Encapsulates all that one has to learn about sustainability and its transformation in Industry 4.0

  • Real time case studies are presented

Foreword xv
Preface xvii
Editors xix
Contributors xxi
Chapter 1 Concept of Industry 4.0
1(20)
1.1 Introduction and Evolution of Industry 4.0
1(9)
Deepak Mathivathanan
1.1.1 Introduction
1(3)
1.1.2 What Is Industry 4.0?
4(1)
1.1.3 Components of Industry 4.0
5(3)
1.1.4 Benefits of Industry 4.0
8(1)
1.1.5 Conclusion
9(1)
References
10(2)
1.2 Characteristics and Design Principles of Industry 4.0
12(8)
Prateek Saxena
Astha Vijaivargia
1.2.1 Introduction
12(1)
1.2.2 Characteristics of Industry 4.0
13(1)
1.2.2.2 Horizontal and Vertical Integration
13(1)
1.2.2.2 Demand and Marketing
14(1)
1.2.2.2 Digital Supply Chain and Production
14(1)
1.2.2.2 Digital Products and Services
15(1)
1.2.2.2 Digital Customer Experience
15(1)
1.2.3 Design Principles
16(1)
1.2.3.3 Interoperability
16(1)
1.2.3.3 Virtualisation
16(1)
1.2.3.3 Decentralisation
17(1)
1.2.3.3 Real-Time Capability
17(1)
1.2.3.3 Service-Orientation
17(1)
1.2.3.3 Modularity
18(1)
1.2.4 Challenges Involved in Executing Industry 4.0 Framework
19(1)
1.2.5 Conclusions
19(1)
References
20(1)
Chapter 2 Sustainable Manufacturing and Industry 4.0
21(44)
2.1 Design for Sustainability and Its Framework
21(5)
K. Lenin
Abdul Zubar Hameed
M. Fakkir Mohamed
2.1.1 Introduction
21(1)
2.1.2 Among the Industrial Revolutions
22(1)
2.1.2.2 Systematic Changes While Adopting 1.4.0
23(1)
2.1.2.2 Speculative Stochastic Process of 1.4.0
23(1)
2.1.3 Applying Sustainability to the Supply Chain
24(1)
2.1.3.3 I.O.T. Empowered Production for Sustainability
24(1)
2.1.3.3 Robot Interaction for Human Sustainability
25(1)
2.1.4 Correlation of 1.4.0 and Sustainability
25(1)
2.1.5 Concluding Remarks
25(1)
References
26(1)
2.2 Orientation of Sustainable Product Development
27(4)
Abdul Zubar Hameed
K. Lenin
M. Fakkir Mohamed
2.2.1 Introduction
27(1)
2.2.2 Cyber-Physical Systems
28(1)
2.2.3 Internet of Things
28(1)
2.2.3.3 I.O.T. Employed within Production Management
29(1)
2.2.4 Cloud Computing
29(1)
2.2.5 Conclusion
30(1)
References
31(1)
2.3 End of Life Disposal and Sustainable Industrial Waste Management in Industry 4.0
32(26)
Alokita Shukla
Rahul Verma
A. Soft
2.3.1 Introduction
32(2)
2.3.1.1 Effect of End of Life Disposal on Economy
34(1)
2.3.1.1 Brief Introduction of Industry 4.0
34(1)
2.3.2 End of Life (E.O.L.) Disposal
35(1)
2.3.2.2 End of Life Disposal for Biodegradable Waste
36(5)
2.3.2.2 Footwear Industry
41(2)
2.3.2.2 End of Life Disposal of Nonbiodegradable Waste
43(7)
2.3.3 Sustainable Waste Management A Necessity for Industry 4.0
50(1)
2.3.3.3 Important Elements of Industry 4.0
50(1)
2.3.3.3 Smart Industries
51(1)
2.3.3.3 Necessity of Industry 4.0
52(3)
2.3.3.3 Sustainable Manufacturing in Industry 4.0
55(1)
2.3.3.3 Advantages of Sustainable Manufacturing
55(3)
2.3.4 Conclusion
58(1)
References
58(7)
Chapter 3 Innovation for Smart Factories
65(60)
3.1 Role of Industrial Internet of Things (I.I.O.T.) Manufacturing
65(14)
Lokesh Singh
Someh Kumar Dewangan
Ashish Das
K. Jayakrishna
3.1.1 Introduction to the Role of the Industrial Internet of Things (I.I.O.T.) Manufacturing
65(1)
3.1.1.1 Evolution of I.I.O.T. in Industry
65(2)
3.1.2 I.O.T. Manufacturing Operations
67(1)
3.1.2.2 Intelligent Manufacturing
67(2)
3.1.2.2 Asset Management
69(1)
3.1.2.2 Planning
70(1)
3.1.2.2 Monitoring
71(1)
3.1.2.2 Types of Condition Monitoring
72(3)
3.1.3 Importance of Data in I.O.T. Manufacturing
75(1)
3.1.4 Benefits of I.O.T. in Manufacturing
76(3)
3.1.5 Conclusion
79(1)
References
79(4)
3.2 Big Data and Its Importance in Manufacturing
83(8)
Deepak Mathivathanan
Sivakumar K.
3.2.1 Introduction
83(1)
3.2.2 Challenges in Manufacturing Industries
83(2)
3.2.3 What Is Big Data?
85(2)
3.2.4 Impact of Big Data in Manufacturing
87(3)
3.2.5 How to Adopt Big Data Analytics?
90(1)
3.2.6 Conclusion
91(1)
References
91(2)
3.3 Networking for Industry 4.0
93(16)
Lokesh Singh
Someh Kumar Dewangan
Ashish Das
K. Jayakrishna
3.3.1 Introduction to Networking for Industry 4.0
93(1)
3.3.1.1 Mass Communication
94(1)
3.3.1.1 Flexibility
94(1)
3.3.1.1 Factory Visibility
94(1)
3.3.1.1 Connected Supply Chain
94(1)
3.3.1.1 Energy Management
95(1)
3.3.1.1 Creating Values
95(1)
3.3.1.1 Remote Monitoring
95(1)
3.3.1.1 Proactive Industry Maintains
96(1)
3.3.1.1 External Communication for Devices through Gateway SDN
96(1)
3.3.1.1 Connection and Management of Data in the Cloud
96(1)
3.3.1.1 Dynamic Management of Smart Devices
97(2)
3.3.1.1 Feed of Data and Automatic Decision-Making
99(1)
3.3.1.1 Optimisation of Customers Directly with Industry 4.0
99(1)
3.3.2 History of Networking in Industry
100(1)
3.3.3 Need for Networking in Industry
100(2)
3.3.4 Vision for Networking in Industry
102(1)
3.3.5 Initialisation of and Basic Matters about Networking in Industry
103(1)
3.3.6 Requirement, Assessment and Methodology of Networking in Industry
104(1)
3.3.6.6 Methodology
105(2)
3.3.7 Advantages, Disadvantages and Limitations
107(1)
3.3.7.7 Advantages of Industry 4.0
107(1)
3.3.7.7 Difficulties Confronting Industry 4.0
107(1)
3.3.7.7 Limitations
107(1)
3.3.8 Conclusion and Future Scope
107(1)
3.3.8.8 Conclusion
107(1)
3.3.8.8 Future Scope
108(1)
Bibliography
109(5)
3.4 Analysis of Drivers for Cloud Manufacturing and Its Integration with Industry 4.0 Using the MCDM Technique
114(9)
S. Vinodh
Vishal A. Wankhede
3.4.1 Introduction
114(1)
3.4.2 Literature Review
114(2)
3.4.3 Methodology
116(1)
3.4.4 Case Study
117(1)
3.4.5 Analysis Using A.H.R. Methodology
117(1)
3.4.6 Normalisation Calculation
117(2)
3.4.7 Results and Discussion
119(3)
3.4.8 Conclusion
122(1)
References
123(2)
Chapter 4 Decision-Making to Achieve Sustainability in Factories
125(58)
4.1 Artificial Intelligence (A.I.) and Industry 4.0
125(15)
Niraj Kumar
Ashish Das
Lokesh Singh
Padmaja Tripathy
K. Jayakrishna
4.1.1 Elements in Artificial Intelligence: ABCDE
125(1)
4.1.2 Challenges of Artificial Intelligence
125(1)
4.1.2.2 Introduction to A.I
125(1)
4.1.2.2 History of A.I
126(1)
4.1.2.2 Explanation of Artificial Intelligence
127(1)
4.1.2.2 Typical A.I. Problems
127(1)
4.1.2.2 Advantages and Disadvantages of A.I
128(3)
4.1.2.2 A.I. Models
4.1.2.2 Application of A.I
131(1)
4.1.2.2 Image Processing through Artificial Intelligence
131(1)
4.1.2.2 Artificial Intelligence in the Clothing Industry
132(1)
4.1.2.2 Impact of A.I. on Some Other Industries
132(1)
4.1.3.3 Industry 4.0
133(1)
4.1.3.3 Defining Industry 4.0
134(1)
4.1.3.3 Why Industry 4.0?
134(1)
4.1.3.3 Introduction to the Smart Factory
135(1)
4.1.3.3 Advantages of Industry 4.0
136(1)
4.1.3.3 Disadvantages of Industry 4.0
136(1)
4.1.3.3 Applications
137(2)
4.1.4 Conclusion
139(1)
Bibliography
140(1)
4.2 Role of Machine Learning in Industry 4.0
141(23)
Shambhu Kumar Manjhi
Ashish Das
Shashi Bhusan Prasad
Lokesh Singh
Padmaja Tripathy
K. Jayakrishna
4.2.1 Introduction
141(1)
4.2.2 History of Machine Learning
141(1)
4.2.3 Machine Learning
142(1)
4.2.4 Broad Classification of Machine Learning
142(1)
4.2.4.4 Supervised Learning
142(1)
4.2.4.4 Unsupervised Learning
143(2)
4.2.5 Methods of Learning
145(1)
4.2.5.5 Concept Learning
145(1)
4.2.5.5 Decision Tree Learning
146(1)
4.2.6 Perceptron Learning
147(1)
4.2.6.6 Bayesian Learning
147(1)
4.2.6.6 Reinforcement Learning
148(1)
4.2.7 Artificial Neural Network and Deep Learning
148(1)
4.2.7.7 Artificial Neural Network
148(1)
4.2.7.7 Deep Learning
149(1)
4.2.8 What Can Machine Learning do?
150(1)
4.2.8.8 Data Mining
150(1)
4.2.8.8 Quality Management
150(1)
4.2.8.8 Predictive Maintenance
150(1)
4.2.8.8 Supply Chain Management
151(1)
4.2.8.8 Process Planning
151(1)
4.2.8.8 Operation Selection and Planning
152(1)
4.2.8.8 Tool Condition Monitoring
153(1)
4.2.8.8 Process Modelling
154(3)
4.2.9 Applications of Machine Learning
157(1)
4.2.9.9 Manufacturing Industry
157(1)
4.2.9.9 Finance Sector
158(1)
4.2.9.9 Process Automation
158(1)
4.2.9.9 Security
159(1)
4.2.9.9 Guaranteeing and Credit Scoring
159(1)
4.2.9.9 Robo-Advisors
160(1)
4.2.9.9 Healthcare Industries
160(1)
4.2.9.9 Cancer Diagnosis
160(1)
4.2.9.9 Detection of Haemorrhage
161(1)
4.2.9.9 Robo-Assisted Surgery
161(1)
4.2.9.9 Retail Industry
161(1)
4.2.10 Future Scope of Machine Learning
162(1)
4.2.11 Conclusions
163(1)
References
164(1)
4.3 Software Development for Industry 4.0
165(17)
Lokesh Singh
Sushil Kumar Maurya
Ashish Das
K. Jayakrishna
4.3.1 Introduction
165(2)
4.3.2 History of Software in Manufacturing Industries
167(2)
4.3.3 Need for Software Development in Industries?
169(1)
4.3.4 Vision for Software Development for Industries
170(1)
4.3.5 Comparison of Past and Present Scenario of Software in Industries
170(2)
4.3.6 Expecting Future Software Development in Industries 2050
172(1)
4.3.7 Method Used for Selection Software in Industry
173(1)
4.3.7.7 Waterfall Development Methodology
173(1)
4.3.7.7 Rapid Application Development Methodology
173(1)
4.3.7.7 Agile Development Methodology
174(1)
4.3.7.7 DevOps Deployment Methodology
174(1)
4.3.8 Available Software for Different Areas in Industries
175(1)
4.3.8.8 Industrial Design Software
175(2)
4.3.8.8 Information Technology Industry
177(3)
4.3.9 Summary
180(1)
4.3.10 Conclusion
181(1)
References
182(1)
Chapter 5 Sustainable SMART Factories: Compliance with Environmental Aspects
183(32)
5.1 Monitoring Manufacturing Process Parameters for Negative Environmental Impacts: Case Study from Colombia
183(7)
J. Martinez-Girlado
K. Mathiyazhagan
5.1.1 Introduction
183(1)
5.1.2 Environmental Impact Measurement
184(1)
5.1.2.2 Functions and Characteristics of Composite Indicators of Environmental Performance
185(1)
5.1.2.2 Environmental Performance Indicators Classification
185(2)
5.1.3 Colombian Case Study
187(1)
5.1.3.3 Pressures Facing the Colombian Manufacturing Sector at National and Regional Level
187(1)
5.1.3.3 Industry 4.0 Sector in Colombia
188(1)
5.1.4 Conclusions and Recommendations
189(1)
References
190(2)
5.2 ERP Systems and SCM in Industry 4.0
192(10)
E. Manavalan
K. Jayakrishna
E. Vengata Raghavan
S. Uma Mageswari
5.2.1 Introduction
192(1)
5.2.2 Challenges in the Supply Chain
193(1)
5.2.3 Phases of Product Value Chain
194(1)
5.2.4 Capitalising on Industry 4.0 Technologies in Supply Chain
194(1)
5.2.4.4 Influence of Industry 4.0 in Supply Chain
195(1)
5.2.5 The Digital Transformation of Supply Chain in Industry 4.0
196(1)
5.2.5.5 Raw Materials and Raw Materials Processing
196(1)
5.2.5.5 Design
197(1)
5.2.5.5 Manufacturing
198(1)
5.2.5.5 Distribution
198(1)
5.2.5.5 Sales
199(1)
5.2.5.5 Use Phase
200(1)
5.2.5.5 Extended Life of the Product Make a Sustainable Impact
200(2)
5.2.6 Conclusion
202(1)
Abbreviations
202(1)
References
202(3)
5.3 The Importance of Additive Manufacturing Factories of the Future
205(7)
Prateek Saxena
Himanshu Singh
5.3.1 Introduction
205(1)
5.3.2 Materials for A.M
206(1)
5.3.2.2 Polymers
206(1)
5.3.2.2 Metals
206(2)
5.3.2.2 Ceramics
208(2)
5.3.2.2 Composites
210(1)
5.3.3 Smart Materials for Industry 4.0
211(1)
5.3.4 AM for Rapid Tooling
211(1)
5.3.5 Conclusions
212(1)
References
212(3)
Chapter 6 Ensuring Sustainability in Industry 4.0: Implementation Framework
215(38)
6.1 Guidelines for Ensuring Sustainability in Industry 4.0
215(7)
Sivakumar K.
Deepak Mathivathanan
M. Nishal
Vimal K.E.K.
6.1.1 Introduction
215(1)
6.1.2 Sustainability in Industry 4.0
216(1)
6.1.3 Guidelines for Ensuring Sustainability in Industry 4.0
217(4)
6.1.4 Impact of Sustainability in Industry 4.0
221(1)
6.1.5 Conclusion
222(1)
References
222(2)
6.2 Case Studies Sustaining Global Competitiveness with Industry 4.0
224(7)
R. Subhaa
R. Sudhakara Pandian
Leos Safar
Jakub Sopko
6.2.1 Introduction
224(1)
6.2.2 Challenges and Issues of Industry 4.0
224(1)
6.2.3 Technologies of Industry 4.0
225(1)
6.2.3.3 Internet of Things (I.O.T.)
225(1)
6.2.3.3 Cyber-Physical Systems (CPS.)
225(1)
6.2.3.3 Cloud Manufacturing
226(1)
6.2.3.3 Big Data Analytics
226(1)
6.2.4 Case Studies Based on Industry 4.0 Technologies
226(1)
6.2.4.4 Cases on Neural Network Technologies
226(1)
6.2.4.4 Case Studies on I.O.T. Technologies
226(1)
6.2.4.4 Cases on Big Data Technologies
227(1)
6.2.4.4 Cases on Industrial Wireless Network (I.W.N.) Technologies
228(1)
6.2.4.4 Industrial Internet of Things (I.I.O.T.) Technologies
229(1)
6.2.4.4 Logistics Optimisation Technologies
230(1)
6.2.5 Summary and Final Remarks
231(1)
References
231(1)
6.3 Modelling the Interrelationship of Factors Enabling
232(1)
Agile-Industry 4.0: A DEMATEL Approach
232(9)
Srijit Krishnan
Sumit Gupta
K. Mathiyazhagan
6.3.1 Introduction
232(1)
6.3.2 Literature Review
233(1)
6.3.3 Decision-Making Trial and Evaluation Laboratory
234(1)
6.3.3.3 DEMATEL Approach
234(2)
6.3.3.3 Application of DEMATEL
236(1)
6.3.4 Results and Discussion
236(4)
6.3.5 Conclusion
240(1)
References
241(1)
6.4 Development of a Novel Framework for a Distributed Manufacturing System Process for Industry 4.0
242(8)
Ramakurthi Veera Babu
Vijaya Kumar Manupati
Nikhil Wakode
M.L.R. Varela
6.4.1 Introduction
242(1)
6.4.2 Literature Review
243(2)
6.4.3 A Proposed Novel Framework for Telefacturing Distributed Process for Industry 4.0
245(1)
6.4.4 Discussion on Processing of Telefacturing-Based Distributed System
245(1)
6.4.4.4 User Service Level
246(2)
6.4.4.4 Control Service Level
248(1)
6.4.4.4 Application Service Level
248(2)
6.4.5 Conclusions
250(1)
References
250(3)
Index 253
K. Jayakrishna, Vimal K.E.K., S. Aravind Raj, Asela K. Kulatunga, M.T.H. Sultan, J. Paulo Davim