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LEADER 00000cam a2200565 i 4500
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006 m o d
007 cr cnu|||unuuu
008 230425t20232023nju ob 000 0 eng d
020 9781119865216|qelectronic book
020 1119865212|qelectronic book
020 9781119865209|qelectronic book
020 1119865204|qelectronic book
020 |qhardcover
024 7 10.1002/9781119865216|2doi
035 (OCoLC)1377285753
037 9781119864943|bO'Reilly Media
040 N$T|beng|erda|epn|cN$T|dN$T|dYDX|dDG1|dORMDA|dSFB|dOCLCF
|dOCLCO
049 INap
082 04 658.5
082 04 658.5|223/eng/20230426
099 eBook O'Reilly for Public Libraries
245 00 Factories of the future :|btechnological advancements in
the manufacturing industry /|cedited by Chandan Deep Singh
and Harleen Kaur.|h[O'Reilly electronic resources]
264 1 Hoboken, NJ :|bJohn Wiley & Sons, Inc. ;|aBeverly, MA :
|bScrivener Publishing LLC,|c[2023]
264 4 |c©2023
300 1 online resource.
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
504 Includes bibliographical references.
505 0 Cover -- Title Page -- Copyright Page -- Contents --
Preface -- Chapter 1 Factories of the Future -- 1.0
Introduction -- 1.1 Factory of the Future -- 1.1.1 Plant
Structure -- 1.1.2 Plant Digitization -- 1.1.3 Plant
Processes -- 1.1.4 Industry of the Future: A Fully
Integrated Industry -- 1.2 Current Manufacturing
Environment -- 1.3 Driving Technologies and Market
Readiness -- 1.4 Connected Factory, Smart Factory, and
Smart Manufacturing -- 1.4.1 Potential Benefits of a
Connected Factory -- 1.5 Digital and Virtual Factory --
1.5.1 Digital Factory -- 1.5.2 Virtual Factory -- 1.6
Advanced Manufacturing Technologies -- 1.6.1 Advantages of
Advanced Manufacturing Technologies -- 1.7 Role of
Factories of the Future (FoF) in Manufacturing Performance
-- 1.8 Socio-Econo-Techno Justification of Factories of
the Future -- References -- Chapter 2 Industry 5.0 -- 2.1
Introduction -- 2.1.1 Industry 5.0 for Manufacturing --
2.1.1.1 Industrial Revolutions -- 2.1.2 Real
Personalization in Industry 5.0 -- 2.1.3 Industry 5.0 for
Human Workers -- 2.2 Individualized Human-Machine-
Interaction -- 2.3 Industry 5.0 is Designed to Empower
Humans, Not to Replace Them -- 2.4 Concerns in Industry
5.0 -- 2.5 Humans Closer to the Design Process of
Manufacturing -- 2.5.1 Enablers of Industry 5.0 -- 2.6
Challenges and Enablers (Socio-Econo-Techno Justification)
-- 2.6.1 Social Dimension -- 2.6.2 Governmental and
Political Dimension -- 2.6.3 Interdisciplinarity -- 2.6.4
Economic Dimension -- 2.6.5 Scalability -- 2.7 Concluding
Remarks -- References -- Chapter 3 Machine Learning -- A
Survey -- 3.1 Introduction -- 3.2 Machine Learning --
3.2.1 Unsupervised Machine Learning -- 3.2.2 Variety of
Unsupervised Learning -- 3.2.3 Supervised Machine Learning
-- 3.2.4 Categories of Supervised Learning -- 3.3
Reinforcement Machine Learning -- 3.3.1 Applications of
Reinforcement Learning.
505 8 3.3.2 Dimensionality Reduction -- 3.4 Importance of
Dimensionality Reduction in Machine Learning -- 3.4.1
Methods of Dimensionality Reduction -- 3.4.1.1 Principal
Component Analysis (PCA) -- 3.4.1.2 Linear Discriminant
Analysis (LDA) -- 3.4.1.3 Generalized Discriminant
Analysis (GDA) -- 3.5 Distance Measures -- 3.6 Clustering
-- 3.6.1 Algorithms in Clustering -- 3.6.2 Applications of
Clustering -- 3.6.3 Iterative Distance-Based Clustering --
3.7 Hierarchical Model -- 3.8 Density-Based Clustering --
3.8.1 DBSCAN -- 3.8.2 OPTICS -- 3.9 Role of Machine
Learning in Factories of the Future -- 3.10 Identification
of the Probable Customers -- 3.11 Conclusion -- References
-- Chapter 4 Understanding Neural Networks -- 4.1
Introduction -- 4.2 Components of Neural Networks -- 4.2.1
Neurons -- 4.2.2 Synapses and Weights -- 4.2.3 Bias --
4.2.4 Architecture of Neural Networks -- 4.2.5 How Do
Neural Networks Work? -- 4.2.6 Types of Neural Networks --
4.2.6.1 Artificial Neural Network (ANN) -- 4.2.6.2
Recurrent Neural Network (RNN) -- 4.2.6.3 Convolutional
Neural Network (CNN) -- 4.2.7 Learning Techniques in
Neural Network -- 4.2.8 Applications of Neural Network --
4.2.9 Advantages of Neural Networks -- 4.2.10
Disadvantages of Neural Network -- 4.2.11 Limitations of
Neural Networks -- 4.3 Back-Propagation -- 4.3.1 Working
of Back-Propagation -- 4.3.2 Types of Back-Propagation --
4.3.2.1 Static Back-Propagation -- 4.3.2.2 Recurrent Back-
Propagation -- 4.3.2.3 Advantages of Back-Propagation --
4.3.2.4 Disadvantages of Back-Propagation -- 4.4
Activation Function (AF) -- 4.4.1 Sigmoid Active Function
-- 4.4.1.1 Advantages -- 4.4.1.2 Disadvantages -- 4.4.2
RELU Activation Function -- 4.4.2.1 Advantages -- 4.4.2.2
Disadvantages -- 4.4.3 TANH Active Function -- 4.4.3.1
Advantages -- 4.4.3.2 Disadvantages -- 4.4.4 Linear
Function -- 4.4.5 Advantages -- 4.4.6 Disadvantages.
505 8 4.4.7 Softmax Function -- 4.4.8 Advantages -- 4.5
Comparison of Activation Functions -- 4.6 Machine Learning
-- 4.6.1 Applications of Machine Learning -- 4.7
Conclusion -- References -- Chapter 5 Intelligent
Machining -- 5.1 Introduction -- 5.2 Requirements for the
Developments of Intelligent Machining -- 5.3 Components of
Intelligent Machining -- 5.3.1 Intelligent Sensors --
5.3.1.1 Features of Intelligent Sensors -- 5.3.1.2
Functions of Intelligent Sensors -- 5.3.1.3 Data
Acquisition and Management System to Process and Store
Signals -- 5.3.2 Machine Learning and Knowledge Discovery
Component -- 5.3.3 Database Knowledge Discovery -- 5.3.4
Programmable Logical Controller (PLC) -- 5.3.5 Role of
Intelligent Machining for Implementation of Green
Manufacturing -- 5.3.6 Information Integration via
Knowledge Graphs -- 5.4 Conclusion -- References --
Chapter 6 Advanced Maintenance and Reliability -- 6.1
Introduction -- 6.2 Condition-Based Maintenance -- 6.3
Computerized Maintenance Management Systems (CMMS) -- 6.4
Preventive Maintenance (PM) -- 6.5 Predictive Maintenance
(PdM) -- 6.6 Reliability Centered Maintenance (RCM) --
6.6.1 RCM Principles -- 6.7 Condition Monitoring and
Residual Life Prediction -- 6.8 Sustainability -- 6.8.1
Role of Sustainability in Manufacturing -- 6.9 Concluding
Remarks -- References -- Chapter 7 Digital Manufacturing -
- 7.1 Introduction -- 7.2 Product Life Cycle and
Transition -- 7.3 Digital Thread -- 7.4 Digital
Manufacturing Security -- 7.5 Role of Digital
Manufacturing in Future Factories -- 7.6 Digital
Manufacturing and CNC Machining -- 7.6.1 Introduction to
CNC Machining -- 7.6.2 Equipment's Used in CNC Machining -
- 7.6.3 Analyzing Digital Manufacturing Design
Considerations -- 7.6.4 Finishing of Part After Machining
-- 7.7 Additive Manufacturing -- 7.7.1 Objective of
Additive Manufacturing -- 7.7.2 Design Consideration.
505 8 7.8 Role of Digital Manufacturing for Implementation of
Green Manufacturing in Future Industries -- 7.9 Conclusion
-- References -- Chapter 8 Artificial Intelligence in
Machine Learning -- 8.1 Introduction -- 8.2 Case Studies -
- 8.3 Advantages of A.I. in ML -- 8.4 Artificial
Intelligence -- Basics -- 8.4.1 History of A.I. -- 8.4.2
Limitations of Human Mind -- 8.4.3 Real Artificial
Intelligence -- 8.4.4 Artificial Intelligence Subfields --
8.4.5 The Positives of A.I. -- 8.4.6 Machine Learning --
8.4.7 Machine Learning Models -- 8.4.8 Neural Networks --
8.4.9 Constraints of Machine Learning -- 8.4.10 Different
Kinds of Machine Learning -- 8.5 Application of Artificial
Intelligence -- 8.5.1 Expert Systems -- 8.5.2 Natural
Language Processing -- 8.5.3 Speech Recognition -- 8.5.4
Computer Vision -- 8.5.5 Robotics -- 8.6 Neural Networks
(N.N.) Basics -- 8.6.1 Application of Neural Networks --
8.6.2 Architecture of Neural Networks -- 8.6.3 Working of
Artificial Neural Networks -- 8.7 Convolution Neural
Networks -- 8.7.1 Working of Convolutional Neural Networks
-- 8.7.2 Overview of CNN -- 8.7.3 Working of CNN -- 8.8
Image Classification -- 8.8.1 Concept of Image
Classification -- 8.8.2 Type of Learning -- 8.8.3 Features
of Image Classification -- 8.8.4 Examples of Image
Classification -- 8.9 Text Classification -- 8.9.1 Text
Classification Examples -- 8.9.2 Phases of Text
Classification -- 8.9.3 Text Classification API -- 8.10
Recurrent Neural Network -- 8.10.1 Type of Recurrent
Neural Network -- 8.11 Building Recurrent Neural Network -
- 8.12 Long Short Term Memory Networks (LSTMs) --
References -- Chapter 9 Internet of Things -- 9.1
Introduction -- 9.2 M2M and Web of Things -- 9.3 Wireless
Networks -- 9.4 Service Oriented Architecture -- 9.5
Complexity of Networks -- 9.6 Wireless Sensor Networks --
9.7 Cloud Computing -- 9.8 Cloud Simulators.
505 8 9.9 Fog Computing -- 9.10 Applications of IoT -- 9.11
Research Gaps and Challenges in IoT -- 9.12 Concluding
Remarks -- References -- Chapter 10 Product Life Cycle --
10.1 Introduction -- 10.2 Product Lifecycle Management
(PLM) -- 10.2.1 Why Product Lifecycle Management? --
10.2.2 Biological Product Lifecycle Stages -- 10.2.3 An
Example Related to Stages in Product Lifecycle Management
-- 10.2.4 Advanced Stages in Product Lifecycle Management
-- 10.2.5 Strategies of Product Lifecycle Management --
10.3 High and Low-Level Skimming Strategies/Rapid or Slow
Skimming Strategies -- 10.3.1 Considerations in High and
Low-Level Pricing -- 10.3.2 Penetration Pricing Strategy -
- 10.3.3 Example for Penetration Pricing Strategy --
10.3.4 Considerations in Penetration Pricing -- 10.4 How
Do Product Lifecycle Management Work? -- 10.5 Application
Process of Product Lifecycle Management (PLM) -- 10.6 Role
of Unified Modelling Language (UML) -- 10.6.1 UML Activity
Diagrams -- 10.7 Management of Product Information
Throughout the Entire Product Lifecycle -- 10.8 PDM System
in an Organization -- 10.8.1 Benefits of PDM -- 10.8.2 How
Does the PDM Work? -- 10.8.3 The Services of Product Data
Management -- 10.9 System Architecture -- 10.9.1 Process
of System Architecture -- 10.10 Concepts of Model-Based
System Engineering (MBSE) -- 10.10.1 Benefits of Model-
Based System Engineering (MBSE) -- 10.11 Challenges of
Post-COVID 19 in Manufacturing Sector -- 10.12 Recent
Updates in Product Life Cycle -- 10.13 Conclusion --
References -- Chapter 11 Case Studies -- 11.1 Case Study
in a Two-Wheeler Manufacturing Industry -- 11.1.1 Company
Strategy -- 11.1.2 Initiatives Towards Technological
Advancement -- 11.1.3 Management Initiatives -- 11.1.4
Sustainable Development Goals -- 11.1.5 Growth Framework
with Customer Needs -- 11.1.6 Vision for the Future.
520 FACTORIES OF THE FUTURE The book provides insight into
various technologies adopted and to be adopted in the
future by industries and measures the impact of these
technologies on manufacturing performance and their
sustainability. Businesses and manufacturers face a slew
of demands beyond the usual issues of staying agile and
surviving in a competitive landscape within a rapidly
changing world. Factories of the Future deftly takes the
reader through the continuous technology changes and looks
ten years down the road at what manufacturing will mostly
look like. The book is divided into two parts: Emerging
technologies and advancements in existing technologies.
Emerging technologies consist of Industry 4.0 and 5.0
themes, machine learning, intelligent machining, advanced
maintenance, reliability, and green manufacturing. The
advances of existing technologies consist of digital
manufacturing, artificial intelligence in machine learning,
Internet of Things, product life cycle, and the impact of
factories on the future of manufacturing performance of
the manufacturing industries. Readers will find in this
illuminating book: A comprehensive discussion of almost
all emerging technologies, including "green"
manufacturing; An overview of the social, economic, and
technical aspects of these technologies; An explanation of
these technological advancements on manufacturing
performance, through case studies and other analytical
tools.
588 0 Online resource; title from PDF title page (EBSCO, viewed
April 25, 2023).
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 Manufacturing industries|xTechnological innovations.
650 0 Manufacturing industries|xManagement.
650 6 Industrie manufacturière|xInnovations.
650 6 Industrie manufacturière|xGestion.
650 7 Manufacturing industries|xManagement|2fast
650 7 Manufacturing industries|xTechnological innovations|2fast
700 1 Singh, Chandan Deep,|eeditor.
700 1 Kaur, Harleen,|eauthor.
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
learning.oreilly.com/library/view/~/9781119864943/?ar
|zAvailable on O'Reilly for Public Libraries
938 EBSCOhost|bEBSC|n3592636
994 92|bJFN