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Table of Contents
Cover
Table of contents
Prologue
Preface
Acknowledgments
CHAPTER 1 Introduction
1.1 Introduction
1.2 Myopic View
1.2.1 Case Example
1.3 Enterprise Visibility
1.4 Game Theory
1.4.1 Case Study: Game Theory
1.5 First Steps
1.6 Summary
References
Additional Reading
CHAPTER 2 Augmented Reality
2.1 Introduction
2.2 Time to Market
2.3 Complexity
2.4 New Design Intervals
2.5 Augmented Reality
2.6 Extension to Manufacturing
2.6.1 The Process for Automation
2.6.2 New Tools
2.6.3 The Highly Immersive Virtual Environment (HIVE)
2.6.4 Virtual Commissioning
2.6.5 Virtual Commissioning Test-Bed (VET)
2.7 Mobility
2.8 Future State
2.8.1 Understanding of the Nervous System
2.8.2 Ability to Manipulate the Central Nervous System
2.8.3 Computer Hardware/Software to Process Inputs/Outputs
2.9 Summary
References
CHAPTER 3 Data Fusion and Neural Networks
3.1 Introduction
3.2 Data Fusion
3.2.1 Simple Case Example: Drill and Fill
3.2.2 Intermediate Case Example: Data Fusion across Dissimilar Machine Platforms
3.2.3 Macro-Example: Data Fusion across the Enterprise
3.3 Data Analytics (Advanced Analytics)
3.4 Neural Networks
3.5 Summary
References
CHAPTER 4 Cyber Threats: Cyber Security
4.1 Introduction
4.2 Cyber Threats
4.2.1 Cyber Threat Case Example
4.3 Art-to-Part
4.4 Protection from the Threat
4.4.1 Product Security Case Example: Mattel Toy Company
4.4.2 Exclusion
4.4.3 Segmentation
4.4.4 Isolation
4.4.5 Deflection
4.4.6 Control
4.5 The Cyber Security Conundrum
4.6 Mitigating Cyber and Physical Threats to Security
4.7 Summary
References
CHAPTER 5 Automation
5.1 Introduction
5.2 What Is Automation?
5.3 Trusting the System and Risk
5.4 Expert Systems.
5.5 Types of Aerospace Automation
5.6 International Complications (Offset and Countertrade)
5.7 Flex to Rate (Flexible Automation for Multiple Platforms)
5.8 Determinant Assembly
5.9 Engineering Release
5.10 ROI
5.11 Collision
5.12 Automation versus Mechanization
5.13 Variability (Taming the Beast)
5.14 Case Example: Jewels on the Ground
5.15 Evolution of Specialized Suppliers
5.15.1 Limited Integrators Number of Integrators: Risk
5.15.2 Integrator Firewall Placement
5.15.3 Controlling Your Destiny
5.15.4 Coatings
5.16 Summary
5.16.1 Strengths
5.16.2 Weakness
5.16.3 Opportunities
5.16.4 Threats
5.17 One Future State Possibility
References
CHAPTER 6 Change
6.1 Introduction
6.2 Fear
6.3 Shop Floor to Top Floor
6.3.1 Driving Change to the Top
6.4 Awareness
6.4.1 Case Example: Oxford Mini
6.5 Demonstrating a Vision
6.6 Communicating Change (Top to Shop)
6.6.1 Personalizing Change
6.7 Summary
One Final Note
6.8 Ten Questions to Ponder
6.8.1 Definition of Terms
References
CHAPTER 7 Taming Variability
7.1 Introduction
7.2 Materials (Black Metal)
7.3 Variability Accommodation
7.4 Composite Material Genesis
7.4.1 Controlling Fiber Distribution and Fuzzing
7.5 Compounding Variance (Unique Part DNA)
7.6 Spring-Back Control
7.6.1 Dimension on Day-One: Future State
7.6.2 Methodology
7.6.3 Benefits
7.7 The Digital Twin
7.8 Summary
Case Study: Automation and Variability
References
CHAPTER 8 Visibility
8.1 Introduction
8.2 Tactile Dexterity with Cognition
8.3 COBOTS
8.3.1 Historical Background
8.3.2 Need and Benefits
8.3.3 Technical Concept for Development
8.3.4 Execution Approach
8.3.5 Conclusion
8.4 RFID
8.4.1 Basics
8.4.2 Security
8.5 Digital Twin.
8.6 Global Enterprise Visibility
8.6.1 Empowering the Organization
8.7 Summary
8.8 Case Example: RFID for Chemical Tracking and Hazardous Waste Management
References
CHAPTER 9 Lessons from the Field
9.1 Introduction
9.2 Case Example
9.3 Further Sensitivity
9.4 Automation
9.5 Data Mining
9.6 Variability
9.7 Visibility
9.8 Restructuring the Enterprise Image
9.9 Some Final Thoughts
9.9.1 Design for Manufacture and Affordability
9.9.2 Brand Loyalty and Association
9.9.3 Sustainability (F-35 Example)
9.9.4 Collectivized Solutions
9.9.5 Cyber Security
9.10 Finally
References
Additional Reading
Ending
About the Author
Index.
Table of contents
Prologue
Preface
Acknowledgments
CHAPTER 1 Introduction
1.1 Introduction
1.2 Myopic View
1.2.1 Case Example
1.3 Enterprise Visibility
1.4 Game Theory
1.4.1 Case Study: Game Theory
1.5 First Steps
1.6 Summary
References
Additional Reading
CHAPTER 2 Augmented Reality
2.1 Introduction
2.2 Time to Market
2.3 Complexity
2.4 New Design Intervals
2.5 Augmented Reality
2.6 Extension to Manufacturing
2.6.1 The Process for Automation
2.6.2 New Tools
2.6.3 The Highly Immersive Virtual Environment (HIVE)
2.6.4 Virtual Commissioning
2.6.5 Virtual Commissioning Test-Bed (VET)
2.7 Mobility
2.8 Future State
2.8.1 Understanding of the Nervous System
2.8.2 Ability to Manipulate the Central Nervous System
2.8.3 Computer Hardware/Software to Process Inputs/Outputs
2.9 Summary
References
CHAPTER 3 Data Fusion and Neural Networks
3.1 Introduction
3.2 Data Fusion
3.2.1 Simple Case Example: Drill and Fill
3.2.2 Intermediate Case Example: Data Fusion across Dissimilar Machine Platforms
3.2.3 Macro-Example: Data Fusion across the Enterprise
3.3 Data Analytics (Advanced Analytics)
3.4 Neural Networks
3.5 Summary
References
CHAPTER 4 Cyber Threats: Cyber Security
4.1 Introduction
4.2 Cyber Threats
4.2.1 Cyber Threat Case Example
4.3 Art-to-Part
4.4 Protection from the Threat
4.4.1 Product Security Case Example: Mattel Toy Company
4.4.2 Exclusion
4.4.3 Segmentation
4.4.4 Isolation
4.4.5 Deflection
4.4.6 Control
4.5 The Cyber Security Conundrum
4.6 Mitigating Cyber and Physical Threats to Security
4.7 Summary
References
CHAPTER 5 Automation
5.1 Introduction
5.2 What Is Automation?
5.3 Trusting the System and Risk
5.4 Expert Systems.
5.5 Types of Aerospace Automation
5.6 International Complications (Offset and Countertrade)
5.7 Flex to Rate (Flexible Automation for Multiple Platforms)
5.8 Determinant Assembly
5.9 Engineering Release
5.10 ROI
5.11 Collision
5.12 Automation versus Mechanization
5.13 Variability (Taming the Beast)
5.14 Case Example: Jewels on the Ground
5.15 Evolution of Specialized Suppliers
5.15.1 Limited Integrators Number of Integrators: Risk
5.15.2 Integrator Firewall Placement
5.15.3 Controlling Your Destiny
5.15.4 Coatings
5.16 Summary
5.16.1 Strengths
5.16.2 Weakness
5.16.3 Opportunities
5.16.4 Threats
5.17 One Future State Possibility
References
CHAPTER 6 Change
6.1 Introduction
6.2 Fear
6.3 Shop Floor to Top Floor
6.3.1 Driving Change to the Top
6.4 Awareness
6.4.1 Case Example: Oxford Mini
6.5 Demonstrating a Vision
6.6 Communicating Change (Top to Shop)
6.6.1 Personalizing Change
6.7 Summary
One Final Note
6.8 Ten Questions to Ponder
6.8.1 Definition of Terms
References
CHAPTER 7 Taming Variability
7.1 Introduction
7.2 Materials (Black Metal)
7.3 Variability Accommodation
7.4 Composite Material Genesis
7.4.1 Controlling Fiber Distribution and Fuzzing
7.5 Compounding Variance (Unique Part DNA)
7.6 Spring-Back Control
7.6.1 Dimension on Day-One: Future State
7.6.2 Methodology
7.6.3 Benefits
7.7 The Digital Twin
7.8 Summary
Case Study: Automation and Variability
References
CHAPTER 8 Visibility
8.1 Introduction
8.2 Tactile Dexterity with Cognition
8.3 COBOTS
8.3.1 Historical Background
8.3.2 Need and Benefits
8.3.3 Technical Concept for Development
8.3.4 Execution Approach
8.3.5 Conclusion
8.4 RFID
8.4.1 Basics
8.4.2 Security
8.5 Digital Twin.
8.6 Global Enterprise Visibility
8.6.1 Empowering the Organization
8.7 Summary
8.8 Case Example: RFID for Chemical Tracking and Hazardous Waste Management
References
CHAPTER 9 Lessons from the Field
9.1 Introduction
9.2 Case Example
9.3 Further Sensitivity
9.4 Automation
9.5 Data Mining
9.6 Variability
9.7 Visibility
9.8 Restructuring the Enterprise Image
9.9 Some Final Thoughts
9.9.1 Design for Manufacture and Affordability
9.9.2 Brand Loyalty and Association
9.9.3 Sustainability (F-35 Example)
9.9.4 Collectivized Solutions
9.9.5 Cyber Security
9.10 Finally
References
Additional Reading
Ending
About the Author
Index.