Lean Manufacturing and Industry 5.0 : Concepts, Technologies, and Methods (Hardcover)

1. Lean Manufacturing Concepts. 2. Industry 4.0 Concepts. 3. Industry 5.0 Concepts. 4. Lean Tools (Core Tools). 5.?Lean Tools (Supporting Tools).?6. Lean Integration with Other Strategies. 7. Industry 5.0 Challenges/Barriers/Factors. 8. Industry 5.0 Technologies (Digital Twins/Additive Manufacturing/Cobots). 9.?Industry 5.0 Technologies (AI&ML/Data Analytics/IoT). 10.?Tool/Technology Selection for Lean and Industry 5.0. 11. Workforce Attributes/Skills/Readiness for Lean and Industry 5.0. 12. Lean and Industry 5.0 Performance Measurement. 13.?Lean and Industry 5.0 Implementation.?14.?Research Avenues and Application Domains of Lean and Industry 5.0.

Sustainable Operations and Supply Chain Management (Paperback, 1)

1. Triple Bottom Line??2. Circular Economy??3. Decarbonization of Operations??4. Life Cycle Assessment??5. Supply Chain??6. Green Logistics??7. Transportation Problem to Minimize Emissions??8. Transshipment Problem??9. Travelling Salesman Problem??10. Inventory Management as a Means for Sustainable Operations??11. Just in Time: Manufacturing as a Means for Reduction in Emissions??12. Lean Manufacturing??13. Six Sigma??14. Scheduling ? A Means of Emission Reduction??15. Queuing Simulation as a Tool for Sustainable Operation at Toll Gate and Industrial Systems??16. Sustainable Maintenance Management? ? References

Sustainable Operations and Supply Chain Management (Hardcover, 1)

1. Triple Bottom Line??2. Circular Economy??3. Decarbonization of Operations??4. Life Cycle Assessment??5. Supply Chain??6. Green Logistics??7. Transportation Problem to Minimize Emissions??8. Transshipment Problem??9. Travelling Salesman Problem??10. Inventory Management as a Means for Sustainable Operations??11. Just in Time: Manufacturing as a Means for Reduction in Emissions??12. Lean Manufacturing??13. Six Sigma??14. Scheduling ? A Means of Emission Reduction??15. Queuing Simulation as a Tool for Sustainable Operation at Toll Gate and Industrial Systems??16. Sustainable Maintenance Management? ? References

Digital Assets : Innovation, Risks, and Regulation (Hardcover)

Introduction
PART I: BLOCKCHAIN AS THE FOUNDATION OF DIGITAL ASSET
Chapter 1: Introduction to Representative Blockchains
Chapter 2: The Token Paradigm of Blockchains
Chapter 3: Blockchains’ Economic Models and Governance Mechanism
Chapter 4: The Blockchain Impossible Trinity and Its Implications
Chapter 5: Oracles: The Mechanism to Write Information into Blockchain
Chapter 6: Cross-chain: The Expansion Mechanism from Chain to Network
PART II: MAJOR TYPES OF DIGITAL ASSETS
Chapter 7: Tokenization in Theory and in Practice
Chapter 8: Digital Currencies
Chapter 9: Tokenized Securities: Case Studies of Daml and Liberty
Chapter 10: Cryptoassets
Chapter 11: Digital Renminbi: From 1.0 to 2.0
PART III: PARTICIPANTS IN THE DIGITAL ASSET MARKETS 
Chapter 12: Custodial Wallets and Custodians
Chapter 13: Digital Asset Exchanges: A Case Study of Coinbase
Chapter 14: Information Intermediaries in Digital Assets
PART IV: CONTRACTUAL ARRANGEMENTS IN DIGITAL ASSET MARKETS
Chapter 15: Overview of Decentralized Finance (DeFi)
Chapter 16: Decentralized Lending
Chapter 17: Automated Market Makers (AMMs)
PART V: PRODUCTS IN DIGITAL ASSET MARKETS
Chapter 18: Exchange-Traded Products (ETPs) for Digital Assets
Chapter 19: Digital Asset Futures and Options
PART VI: ACTIVITIES IN DIGITAL ASSET MARKETS
Chapter 20: Economic Attacks in the DeFi Ecosystem
Chapter 21: Liquidity Mining and Staking
Chapter 22: The Rise and Mechanics of the Digital Asset Treasury Model
PART VII: RISKS IN DIGITAL ASSET MARKETS 
Chapter 23: Systemic Fragility of the Cryptoasset Market
Chapter 24: The Relationship between the Cryptoassets and Mainstream Financial Markets
PART VIII: REGULATION OF DIGITAL ASSET MARKETS
Chapter 25: FATF Requirements on AML and CFT for Virtual Assets
Chapter 26: The Trump Administration’s Digital-Asset Policy
Chapter 27: The EU Markets in Crypto-Assets Regulation (MiCA)

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Risk Management Framework for Fourth Industrial Revolution Technologies (Paperback, 1)

PART I. Introduction and Background. Chapter 1. Introduction Chapter 2. The Fourth Industrial Revolution. Chapter 3. Introduction to Risk Management and Current Risk Management Framework. PART II. Risks of the Fourth Industrial Revolution Technologies. Chapter 4. Artificial Intelligence. Chapter 5. The Internet of Things. Chapter 6. Blockchain Technology. Chapter 7. Cloud Computing. Chapter 8. Robotic Technology. Chapter 9. Augmented/ Virtual Reality. PART III. Risk Management Framework for Fourth Industrial Revolution Technologies. Chapter 10. Risks Management Framework.

Smart Organizations in Industry 5.0 : A Human-centric Approach (Paperback)

Introduction Chapter I. The fourth industrial revolution environment Chapter II. Smart organizations in Industry 5.0 Chapter III. Human-centric approach in Industry 5.0 Chapter IV. Sustainable development in Industry 5.0 Chapter V. Resilience of smart organizations in Industry 5.0 Chapter VI. Challenges of knowledge and competences in the Industry 5.0 Conclusion

Intelligent Machinery Fault Diagnostics and Prognostics : The Future of Smart Manufacturing (Paperback)

1. Introduction to Fault Diagnostics and Prognostics: Direction Towards Smart Manufacturing 2. Advanced Diagnostics and Prognostics of Gearbox Faults in Smart Manufacturing: The Critical Role of Gearboxes 3. Vibration and Support Vector Machine-Based Fault Diagnosis of Bevel Gearbox 4. Identifying Inner-Race Fault of a Bearing Using Nonlinear Mode Decomposition Technique Supported by Blind Source Separation Methods 5. Detection and Classification of Low-Severity Stator Inter-Turn Faults in Induction Motors Using Temporal Features: A Comparative Machine Learning Approach 6. Feature Selection for Accurate Remaining Useful Life Prediction of Bearing Using Machine Learning 7. Deep Learning and Statistical Model-Based Data-Driven Intelligent Fault Prognostics of Rotary Machinery 8. Remaining Useful Life Prediction for Aircraft Structure: Towards a Digital Twin Ecosystem 9. Free Vibration Control of Crack Curved Cracked Simple Supported Beams using Fuzzy Logic Control with Particle Swarm Optimization Tuning 10. Fault Diagnosis of Composite Mono Leaf Spring based on Vibration Characteristics 11. Current Sensor Fault Tolerant Control for Model Predictive Control of Induction Motor Drives

Immersive Technologies : Navigating the Impacts, Challenges, and Opportunities (Paperback)

1. Introduction to Immersive Technologies. 2. Exploring Augmented Reality (AR) and Virtual Reality (VR) Technologies. 3. Unified Realities: MR and XR Fusion. 4. Elevating the Workplace with Cutting-Edge Technologies. 5. Environmental Impacts of Immersive Technologies: A Sustainable Perspective. 6. Embracing Tomorrow: Exploring the Dynamic Nexus of Immersive Tech and IoT. 7.Stargazing beyond Borders: Journeying into the Cosmos with Immersive Technologies. 8. Beyond the Classroom: Immersive Technologies Revolutionizing Education. 9. Sculpting Change: Immersive Technologies Shaping Social Impact. 10. Immersive Innovations: Harnessing Technology for Enterprise Success. 11. Echoes of Innovation: Unveiling the Power of Digital Twins. 12. Metaversal Marvels: Immersive Technologies Shaping Virtual Realities. 13. Case Studies Unveiling Immersive Technology's Impact.

Project Management for the Oil and Gas Industry : Systems Engineering and Technology (Paperback, 2 ed)

1. Systems View of the Oil and Gas World. 2. Unique Characteristics of Oil and Gas Projects. 3. Foundation for Agile Systems. 4. Structuring Project Communication. 5. Critical Path Method. 6. Critical Path Drag. 7. Decision and Improvement Tools. 8. Extended Producer Responsibilities. 9. Case Study of Cost Growth in Transportation: Land, Air, and Space.

Understanding Waste : A Multidisciplinary Introduction (Hardcover)

1. Definitions: The Contours of Waste 2. Materialities: Physical Properties and Social Constructions of Waste 3. Governance: Local Governments at the Heart of Waste Management 4. Geography: Waste Mobilities and Spatial Justice 5. Economy: Organisational Rationales for Waste 6. Work: Shifted, Overlooked and Stigmatised 7. Epistemology: Waste as a Ground for Knowledge

Contemporary Enterprise and Entrepreneurship in Context (Paperback, 1)

1. Introduction 2. Modelling Contextualised Entrepreneurial Development 3. Reasons For a Reassessment 4. Context-Enhanced Social Entrepreneurship: How Social Entrepreneurs Leverage entrepreneurial ecosystems to address societal problems 5. Supporting Sustainable Start-ups: Different Approaches Applied by Business Incubators 6. Academic Startup Clinic: Applying Effectuation Principles to Educate and Support Academic Entrepreneurs 7. Reflective Practice as Continuing Professional Development for Entrepreneurs and Intrapreneurs 8. Value Hidden in Plain Sight ? An Allied Health Professional Case Study 9. Social Capital and Entrepreneurial Loneliness: Mapping the Startup Journeys of London-Based Fashion Entrepreneurs 10. Innovation in Sports: Institutional Entrepreneurship at Play 11. Entrepreneurship in the Arts and Cultural Sectors: The Role of the Intermediary 12. Change via Institutional Entrepreneurship 13. Cultural Entrepreneurship in Historical and Contemporary Context: Perspectives on Repertoire Construction and Recording Practice in the Field of Classical Guitar Performance 14. Regulatory Institutions and Productive Entrepreneurship: A Focus on Small Businesses in Iran During Covid-19

Barrier Engineering : Models and Methods for Technical Safety (Paperback)

1. Introduction of Safety Barriers. 2. Barrier Management and Non-Technical Barriers. 3. Technical Safety Barriers. 4. Hazard-barrier Identification and Qualitative Assessment. 5. Probabilistic Modeling Approaches for Barrier Engineering. 6. Performance Measures. 7. Data Analysis in Barrier Engineering. 8. Structural and Operational Analysis. 9. Test and Maintenance. 10. Dependencies within Safety Barriers. 11. Digitalization and Artificial Intelligence in Barrier Engineering. 12. Barrier Engineering and Security. 13. Barrier Engineering and Sustainability. 14. Resilience Enhancer: Extension of Safety Barrier.

Fatigue Reliability (Hardcover, 1)

Preface 1. Introduction and Overview 2. Safe-Life Approach for Fatigue Analysis and Prognosis 3. Classical Crack Growth Approach for Fatigue Analysis and Prognosis 4. Subcycle Crack Growth Formulation for Fatigue Analysis and Prognosis 5. Fatigue Reliability and Uncertainty Quantification 6. Prognosis With Health and Usage Monitoring 7. Information Fusion and Fatigue Reliability Updating 8. Fatigue Analysis with Artificial Intelligence and Machine Learning

Supply Chain Evolution in the Digital Era : Navigating the Future (Hardcover)

1. The Era of Digitalization: A Systematic Examination of Emerging Trends and Research Directions for Supply Chain 4.0. 2.?Application of Artificial Intelligence in supply chain 4.0. 3.?Resilience in Supply Chains 4.0. 4. Modelling Supply Chain Resilience in Manufacturing: A Fuzzy Logic Approach. 5.?“Polycrisis” to Predictive Resilience using AI, Machine Learning, and Data Analytics for pharmaceutical supply chain (PSC) in the North America. 6. Blockchain-Enabled Supply Chain 4.0: Enhancing Transparency, Sustainability, and Circularity. 7.?Blockchain Integrated Factoring Solution for the Industrial Sector: A Multi-Criteria Decision Approach. 8.?Improving Omnichannel Supply Chains Using Artificial Intelligence, Internet of Things, and Blockchain Technologies. 9.?An IoT integrated Framework for Predictive Maintenance of Spur Gearbox and Supply Chain Management Optimization. 10. Quality 4.0 as a Digital Quality Management System in Manufacturing. 11.?A Framework to Measure Readiness for the Implementation of Industry 4.0. 12. Role of Intellectual Property Rights in Supply Chain 4.0 based innovations. 13.?A deep learning-based image classification approach for remaining shelf life prediction of heterogeneous fruit mixture.?

Engineering Innovation Nexus : Technology and R&D Management (Hardcover)

Section I: Foundations and Future of Engineering and Technology Management. 1.?The Need for Linking Engineering and Technology Management. 2.?The Future of Engineering and Technology Management. Section II: Decision Support Systems and Management Methods. 3.?Using AHP and Goal Programming Methods in Supplier Selection Problem: An Engineering Management Perspective. 4.?Developing a Decision Support System for Project Prioritization and Selection in Electricity Distribution Companies. 5.?Performance Evaluation of European Countries Based on R&D Activities. 6.?Product Life Cycle Effects on Supply Chain Management Practices: Case Study from Aerospace and Defence Industry. Section III:?Technology Innovation and Research Trends. 7.?A Machine Learning Approach to Forecasting Future Technologies Through Hidden Trend Detection. 8.?Discovering the Nexus between Sustainability-oriented Innovation and A Seaport Management Business: A Grounded Theory Approach. 9.?Exploring Innovation Research in the Defence Industry: A Bibliometric Analysis. 10.?Innovation Networks in Defense Industry: The Case of Turkish Defense Industry. 11.?Analyzing the Role of Entrepreneurial Ventures in the Defense Sector: A Quantitative Study on Global and Turkish Trends. Section IV:?Artificial Intelligence and Digital Applications. 12.?Artificial Intelligence Methods in Computer Networks. 13.?Leveraging Deep Learning for Accurate Aircraft Classification in Remote Sensing Images. 14.?Image Processing-Based Quality Control System in The Textile Industry. 15.?Adoption of Cybersecurity Technologies in the Digital Era: Factors, Models, and Challenges. 16.?The Nexus Between Common Criteria (ISO/IEC 15408) and IT Governance. Section V:?Defense and Military Applications. 17. How does a technology management-based perspective improve the effectiveness of fire detection systems? A Case Study Using UAV for Military Attacks. 18.?Military Expenditures and Economic Indices: A Comparative Analysis of Developed an...


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AI and Human Expertise for Strategic Decision-Making : The Knowledge 5.0 Approach (Hardcover)

1. The Evolution of Strategic Decision-Making in the Digital Age? ?2. Knowledge Ecosystems for Industry 5.0: From Automation to Humanization? ?3. Artificial Intelligence in Strategic Decision Support System? ?4. Advanced Analytics and Machine Learning for Strategic Insights: Technological Evolution and Social Transformation in the Era of Industrial and Social 5.0? ?5. Quantum Computing and Cloud Technologies in Decision Support? ?6. The Hybrid Intelligence (HI) Framework: Integrating Human and AI Capabilities? ?7. Cognitive Aspects of AI-Human Collaboration in Decision Making? ?8. Building AI-Enhanced Decision Support Systems? ?9. Building Responsible AI: Accountability and Transparency in Algorithmic Systems from a US Perspective? ?10. Creating an AI-Ready Organizational Culture? ?11. Building An AI-Ready Organizational Culture: Leadership, Reciprocity, And Digital Transformation? ?12. Transformation of Human Strategic Business Decision-Making to Artificial Intelligence in the Digital Era: A 5.0 Perspective Approach? ?13. Intelligence and Effectiveness? An empirical analysis of Human?robot Collaboration for Strategic Decision-making in Public Sector Entities? ?14. AI and human expertise for strategic decision-making: The knowledge 5.0 approach in healthcare management? ?15. Healthcare Management and Clinical Decision Support? ?16. Knowledge Management and AI-Driven Development: Balancing Innovation and Labour Security in Africa's Industrial Sectors? ?17. Smart cities and public sector decision-making? ?18. Role of Artificial Intelligence in Knowledge Management for Software Projects? ?19. Smart Sustainable Infrastructure Development (SSID): Leveraging Digital Technologies for Green Energy and Transportation Systems in Sri Lanka? ?20. Future Trends in AI-Enhanced Strategic Decision-Making: A Knowledge 5.0 Perspective

Affordability 2.0 : A How-To Roadmap for Application and Implementation (Hardcover)

1. Affordability 2.0. 2. The Goal. 3. Leadership. 4. Strategy. 5. Enterprises and Systems. 6. Design for Affordability. 7. Targeting and Aiming. 8. Plan and Implementation. 9. People. 10. Process. 11. Performance. 12. Improvement. 13. Sustainment. 14. Where to Start.

Affordability 2.0 : A How-To Roadmap for Application and Implementation (Paperback)

1. Affordability 2.0. 2. The Goal. 3. Leadership. 4. Strategy. 5. Enterprises and Systems. 6. Design for Affordability. 7. Targeting and Aiming. 8. Plan and Implementation. 9. People. 10. Process. 11. Performance. 12. Improvement. 13. Sustainment. 14. Where to Start.

Artificial Intelligence and Smart Innovations : Pioneering a Sustainable Future Through Emerging Technologies (Hardcover)

List of figures. List of tables. List of contributors. Preface. Introduction. 1. Artificial Intelligence Enabled Techniques in Preventive Healthcare for Viksit Bharat 2047. 2. Generative AI in Health Care: Utilizing Implementation Science in Adaptation, Integration & Governance of Generative AI in the Healthcare System. 3. Exploring Machine Learning for Food Hazard Detection: a Comprehensive Approach. 4. A Machine Learning Strategy to Identifying Key Drivers of Employee Churn. 5. IntelliTrack: a Realtime AI Based Employee Attendance and Recognition Solution. 6. Demographic Dynamics in Tech-Driven Retail: Exploring Customer Purchase Intention Amidst Emerging Technologies. 7. Creation of an Interactive In-Store Message Display System for Retail Environments. 8. Servicescape Factors Influencing the Customer's Experience and Customer Satisfaction of Coffee Shops in Australia. 9. AI-Driven Comparative Study for Predicting RUL in Energy Storage Solutions. 10. Service Quality and Customer Satisfaction in AI-Driven Banking: the Mediating Role of Process Automation. 11. Analysis of the Impact and Trends of Artificial Intelligence on the Economy Under the Background of Digital Economy. 12. Evaluating the Effectiveness of AI-Driven Personalization Strategies for Enhancing Customer Engagement in Digital Marketing. 13. Improving Driving Information Interfaceability Among Vehicles Through an Online V2V Dashboard. 14. Sustainable Solid Waste Management in Urban Landscapes: a Pathway to Competitive Eco-Cities in India. 15. The Evolving Landscape of Investment Management: Women, Technology, and Advancement. 16. AI Integration in Finance: Leadership Strategies for Driving Digital Transformation. 17. AgriFin: Agricultural Income and Expense Management. 18. An Analysis of FinTech Integration and Its Impact on Federal Bank's Performance. 19. The Future of Accounting: Integrating AI. Index.

Artificial Intelligence and Risk Analysis in Projects (Paperback, 1)

Foreword. Introduction. CHAPTER 1. The environment of risk analysis in projects. CHAPTER 2. The key role of project managers ? risk management and strategic leadership. CHAPTER 3. The risk management environment in a project. CHAPTER 4. Statistics for risk analysis: fundamentals for data-driven decision-making. CHAPTER 5. A framework for managing risks in projects. CHAPTER 6. How to create a risk plan. CHAPTER 7. Risk identification ? strategies for detecting and anticipating potential problems. CHAPTER 8. The quantitative risk analysis process. CHAPTER 9. Economic evaluation of projects Monte Carlo? a case study. CHAPTER 10. Decision optimisation with decision trees, EMV analysis, and Bowtie. CHAPTER 11. The arrival of artificial intelligence in risk management. CHAPTER 12. AI-assisted Monte Carlo simulation ? from deterministic model to probabilistic analysis. Bibliography. Index.

Artificial Intelligence and Risk Analysis in Projects (Hardcover, 1)

Foreword. Introduction. CHAPTER 1. The environment of risk analysis in projects. CHAPTER 2. The key role of project managers ? risk management and strategic leadership. CHAPTER 3. The risk management environment in a project. CHAPTER 4. Statistics for risk analysis: fundamentals for data-driven decision-making. CHAPTER 5. A framework for managing risks in projects. CHAPTER 6. How to create a risk plan. CHAPTER 7. Risk identification ? strategies for detecting and anticipating potential problems. CHAPTER 8. The quantitative risk analysis process. CHAPTER 9. Economic evaluation of projects Monte Carlo? a case study. CHAPTER 10. Decision optimisation with decision trees, EMV analysis, and Bowtie. CHAPTER 11. The arrival of artificial intelligence in risk management. CHAPTER 12. AI-assisted Monte Carlo simulation ? from deterministic model to probabilistic analysis. Bibliography. Index.

Understanding Waste : A Multidisciplinary Introduction (Paperback)

1. Definitions: The Contours of Waste 2. Materialities: Physical Properties and Social Constructions of Waste 3. Governance: Local Governments at the Heart of Waste Management 4. Geography: Waste Mobilities and Spatial Justice 5. Economy: Organisational Rationales for Waste 6. Work: Shifted, Overlooked and Stigmatised 7. Epistemology: Waste as a Ground for Knowledge

Intelligent Automated Defect Detection : AI Solutions for Roads, Welding, and Industrial Inspection (Hardcover)

1 Introduction?SECTION I: Roads?2 Optimized CNN for Real-Time Road Crack Mapping 3 Deep Learning for Efficient Road Damage Detection?SECTION II Digital X-Radiography?4 AI-Powered Weld Assessment with Digital Radiography 5 Weld Defect Analysis via Digital Radiography and Deep Learning 6 Explainable Real-Time Object Detection in 2D Radiography?SECTION III Arc Stud Welding?7 Explainable Defect Classification in Arc Stud Welding 8 Machine Learning in Automotive Stud Weld Defect Classification??SECTION IV Ultrasonic Testing?9 AI-Driven Weld Inspection with Ultrasonic B-Scans 10 SAM for Weld Defect Detection in Ultrasonic B-Scans 11 Synthetic Data-Driven Weld Defect Classification?

Networked Business : Charting Digitally Enabled Business Collaboration (Hardcover, 3 ed)

Chapter 1 Setting the Scene. Chapter 2 The Practical Context. Chapter 3 Classifying Networked Business. Chapter 4 The BOAT Framework. Chapter 5 Business Aspect. Chapter 6 Organization Aspect. Chapter 7 Architecture Aspect. Chapter 8 Technology Aspect. Chapter 9 Analyzing and designing scenarios. Chapter 10 Networked Business Strategy. Chapter 11 Concluding Remarks.

Networked Business : Charting Digitally Enabled Business Collaboration (Paperback, 3 ed)

Chapter 1 Setting the Scene. Chapter 2 The Practical Context. Chapter 3 Classifying Networked Business. Chapter 4 The BOAT Framework. Chapter 5 Business Aspect. Chapter 6 Organization Aspect. Chapter 7 Architecture Aspect. Chapter 8 Technology Aspect. Chapter 9 Analyzing and designing scenarios. Chapter 10 Networked Business Strategy. Chapter 11 Concluding Remarks.