The Future of Airplane Factory : Digitally Optimized Intelligent Airplane Assembly.

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.

Defines the architecture, key building blocks, and roadmap for actualizing a future airplane factory (FAF) that is digitally optimized for intelligent airplane assembly. They fit and integrate with other FAF building blocks that aggregate to a Digitally Optimized Intelligent Airplane Factory (DOIAF).

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