Blockchain, IoT, and AI Technologies for Supply Chain Management: Apply Emerging Technologies to Address and Improve Supply Chain Management
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[2024]
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| Beschreibung: | xx, 544 Seiten Illustrationen |
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| 245 | 1 | 0 | |a Blockchain, IoT, and AI Technologies for Supply Chain Management |b Apply Emerging Technologies to Address and Improve Supply Chain Management |c edited by Dr. Veena Grover, Dr. B. Balamurugan Balusamy, Dr. Mariofanna Milanova, Dr. A. Yovan Felix |
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Table of Contents About the Authors. xvii Introduction. . xix Chapter 1: Supply Chain Management Strategy and Practices: Traditional vs. Advanced. 1 The Concept of SCM. 5 Traditional SCM. Advanced SCM. 8 11 Transitioning from Traditional to Advanced SCM. . 13 Aligning Supply Chain Objectives with Business Strategy: Business Environment Perspective. 16 Supply Chain Design: Traditional vs. Advanced. 19 Traditional Supply Chain Design. 19 Advanced Supply Chain Design. 20 Technology and Automation in Supply Chain Operations. 22 Inventory Management: Traditional vs. Advanced Approaches. 23 Traditional Inventory Management. 24 Advanced Inventory Management. 25 Transportation and Distribution:
Evolution and Efficiency. 27 Evolution of Transportation. 27 Evolution of Distribution.28 Efficiency Improvements. 28 Resilience and Risk Management in Modern Supply Chain: Safeguarding the Global Flow. 30 iii
TABLE OF CONTENTS Lean Operations in Supply Chain: Optimizing Efficiency and Minimizing Waste. 32 Sustainability and Corporate Social Responsibility in SCM. 35 Future Trends of SCM. Blockchain Technology. 39 40 Artificial Intelligence and Automation.40 Increased Sustainability.41 Agility. 41 Data Protection and Privacy. . 41 E-commerce Integration and Last-Mile Optimization. 41 Conclusion. 42 Chapter 2: Convergence of loT, Artificial Intelligence and Blockchain Approaches for Supply ChainManagement. 45 SCM’s Transformation. 47 Artificial Intelligence. 48 Blockchain. 49 The Internet of
Things. 49 Mastering the Supply Chain Foundations. 50 The Significance of Supply Chain Management. 51 The Seven Components of SCM. 52 Empowering with Blockchain. 55 How Does Blockchain Work?. . 56 Enhancement of Supply Chain Performance Through Blockchain. 57 Traceability. 57 Reliability. 57 Coordinated Transactions. 58 Cost-Effectiveness. 58 iv
TABLE OF CONTENTS Revolutionizing with Internet of Things. 59 The Impact of loT on SCM. 59 Layered Architecture of loT. 60 Features of loT-Based SCM. 61 Issues in Supply Chain Management. 62 Role of loT in SCM. 63 Benefits of loT in SCM. . 65 loT Use Cases in Supply Chains. 67 Al: The Cognitive Catalyst. 68 Demand Prediction. 69 Inventory Management. 71 Supplier Relationship. 72 Logistics Optimization. 74 Warehouse Automation. . 75 Fusion of Technologies.
77 Unifying Supply Chain Models. 77 Transforming Industries with the Convergence of Al, loT, and Blockchain .80 Addressing Challenges and Charting the Future. 83 Futuristic of SCM. 87 Conclusion. 87 Chapter 3: Exploring the Potential of Blockchain in Transforming Supply Chain Financing. 91 The Emergence of Blockchain. 92 Unveiling the Conceptual Framework. 93 Key Participants and Their Driving Forces.94 Resources and Practices: The Building Blocks of Value Creation. 94 Value Creation Mechanisms: Unraveling the Pathways to Success. 95 V
TABLE OF CONTENTS Beyond the Horizon: Challenges and Future Opportunities. 98 Addressing Challenges and Seizing Opportunities. 98 Future Frontiers: Emerging Trends and Potential Applications. 101 Expanding the Conversation: A Deeper Dive into Value Creation. .102 Measuring and Quantifying Value Creation: Beyond Qualitative Analysis. 104 Walmart Leads the Charge. .104 Maersk Streamlines Global Shipping. 104 Emerging Applications: Exploring the Frontiers of Innovation Quantifying 105 Conclusion.106 Chapter 4: Artificial Intelligence Applications for Demand Forecasting and Optimization. 10 Related Work. 111 Dataset Description and Exploratory Data Analysis. 114 Machine Learning Model for Bike Sharing Forecasting. 118 Performance Metrics. 120 Result and
Discussion. 121 Conclusion. 122 Chapter 5: Al-Enabled Supply Chain Planning and Execution: A Pathway to Sustainability. 123 Importance of Sustainability in Supply Chain Management. 125 Practical Applications of Al to Achieve Sustainable SCM. 127 Inventory Optimization. 127 Logistics Optimization. 127 Ethical Supplier Collaboration. 128 Demand Forecasting. 129 Chatbots for Customer Support. 129 vi
TABLE OF CONTENTS Integrating Al for End-to-End Supply Chain Resilience. 130 Models For Managing Supply Chains. 131 Planning and Execution of Al-Enabled Sustainable SCM. 133 Metrics for the Evaluation of Sustainability in SCM. 134 Mondelez Case - Net Zero 2050; Thè Role of Sustainable Sourcing. 135 Role of Sustainable Sourcing. . 136 Al Integration. 137 Sustainable Supply Chain Management. Country Delight Case: Using Tech to Build a Farm-To-Home Supply Chain of Milk. .137 138 Al-Powered Operational Excellence. 138 Sustainable Supply Chain Practices. 139 Impact Amid Challenges and Growth. 139 Issues Using Al to Facilitate a Sustainable Supply Chain.140 Conclusion. 144 Chapter 6: Leveraging IOT in Supply Chain Sustainability: A Provenance
Perspective. .147 Internet of Things. 148 A Look Back. How We Define loT. 152 153 Supply Chain Management and Logistics and the loT. 154 Locating Goods and Shipments in Real Time. 154 Monitoring Storage Conditions. 154 Better Estimation of Arrival Time. 155 Improved Contingency Planning and Risk Mitigation.155 Locating Goods in Storage. 155 Triggering Post-Arrival Administrative Tasks. 156 Raised Profile. 156 vii
TABLE OF CONTENTS Teams Work Together More Effectively. 156 Maximizing Asset Utilization. . . 157 Improved Customer Experience. 157 Better Inventory Management. .157 Regulatory Compliance. 158 Process Automation. 158 loT Use Cases in Logistics and Supply Chain. 158 Smart Warehouse. . 159 Remote Container Management. 159 Predictive Maintenance Solution. 159 loT Applications in SCM. 160 Using loT to Control the Supply Chain. 163 Applications of loT in the Management of Supply Chains. 166 Keeping Track of Assets. . 166 Forecasting and Planning for Inventory.167 Viewing in Real
Time. 167 Finance for the Global Supply Chain. 168 Connected Fleets. 168 Predictive Maintenance.168 Compliance with Regulations. 169 Relationships with Vendors. 169 Help for Customers. 169 Blockchain Integration for Traceability. 170 Cold Chain Management. 170 Problems with loT Implementation. 171 Actions to Reduce Risks and the Best Ways to Deal with Problems. . 172 Future Directions. 175 Conclusion.176 viii
TABLE OF CONTENTS Chapter 7: Al and Machine Learning in Supply Chain Optimization: Mapping the Territory. 177 Blockchain and IVR Systems. 179 Enhanced Use Authentication Systems. 180 Role-Based Authentication. 182 Literature Survey. . Supply Chain Management. 185 186 Supply Chain Management and Machine Learning. . .188 Blockchain Technology. .193 Interactive Voice Response Systems. 195 Secured Smart Contract Architecture. 199 Machine Learning Algorithm for Detection of Malicious IVR Systems. 199 Smart Contracts and SCM. 211 Prototype for Secured IVRS and Supply Chain Management. 217 Results and Discussion. . 219 Conclusion. . 220 Chapter 8: Blockchain and loT Integration-Based Transparency of Supply Chain
Social Sustainability. . 221 loT in the Digital Revolution. 222 Blockchain to Secure the Digital World. 223 What Is Social Sustainability in a Supply Chain?. 225 Related Research Works. 225 loT and Blockchain Integrated Supply Chain Architecture and Applications. 226 Food Supply Chain. .228 Medical or Pharma Supply Chain. 228 Industrial Supply Chain.229 Radioactive Supply Chain. 229 ix
TABLE OF CONTENTS Why Social Sustainable Supply Chains Need loT and Blockchain. 230 Barriers in Integrating Blockchain and loTTechnologies. 233 Conclusion. 235 Chapter 9: Integrating Blockchain, loT, and Al in Supply Chain Management. 237 Sustainable Supply Chains. Significance in Today’s Business Environment. 239 Key Challenges of Sustainable Supply Chain Management. 241 . Research Design. 242 Blockchain For Supply Chain Sustainability. 243 Improving Sustainability Through Blockchain. 24 Real-World Examples and Case Studies. 244 Environmental and Social Impact. 245 Challenges and Limitations. loT Applications For Sustainability. 247 Examples of loT-Enabled Sustainable Supply Chain. 247 Monitoring Environmental Conditions and Asset
Tracking. 249 Real-Time Data and Supply Chain Efficiency. 249 Security and Privacy Considerations.250 Al’s Contribution To Sustainability. . 251 Real-World Examples and Case Studies. 251 Demand Forecasting, Optimization, and Resource Management.252 Al and Sustainability Goals. 252 Predictive Maintenance for Sustainability. 253 Ethical Implications of Al in Supply Chain Sustainability. 254 Comparative Analysis. Strengths and Weaknesses of Blockchain, loT, and Al in the Supply Chain. X 255 25
TABLE OF CONTENTS Cost-Effectiveness and Scalability of Blockchain, loT, and Al in the Supply Chain. 257 Integration Opportunities and Challenges. 257 Future Trends and Recommendations. 259 Emerging Trends and Developments. 259 For Supply Chain Practitioners. 260 For Policymakers. 261 For Researchers. Conclusion. 2 Chapter 10: Challenges of Supply Chain Management Post COVID-19. 265 Defining Supply Chain Management.267 Importance of Effective Supply Chain Management. 268 Impact of COVID-19 on Global Supply Chains. 270 Challenges Faced by Supply Chains Post COVID-19. 272 Disrupted Commodities and Supply Chain. 273 High-Tech
Products. 273 Disrupted International Logistics. 276 Mitigation Strategies for Supply Chain Challenges. 281 Digital Transformation and Technology Integration. 281 Adoption of Advanced Analytics and Al: Enhancing Predictive Capabilities. 283 loT and Blockchain in Supply Chain Management: Revolutionizing Transparency and Traceability. 285 Illustrative Example: Pharmaceutical Industry Evolution. .287 Future Implications and Challenges. .287 Introduction to Supplier Diversification and Sourcing Strategies. 287 Reducing Dependency on Single Suppliers. 288 Regionalization and Nearshoring. 289 xi
TABLE OF CONTENTS Robust Risk Management Frameworks: Safeguarding the Supply Chain Resilience. 290 Agile and Flexible Supply Chain Structures: Navigating Dynamic Business Realities. 292 Practical Lessons Learned from the COVID-19 Experience: Navigating Disruptions and Building Resilience 295 Case Studies and Real-World Examples: Extracting Wisdom from Experience. 295 Importance of Collaboration and Communication: Foundation for Resilient Supply Chains. . 297 Building Adaptive and Resilient Supply Chains: A Strategic Imperative. 300 Conclusion.302 Chapter 11: Autonomous Vehicles and Delivery Robots in SCM. 305 Inbound and Outbound Logistics in SCM.306 Trade Services and Their Impact on Supply Chains. 307 Adopting SCM in Product Delivery. .311 Industry 4.0 and Its Impact on SCM.315 Investigations on System Integration.316 Case Study:
Autonomous Delivery Bots using Al Technology. 325 Legal Challenges.329 Conclusion.330 Chapter 12: Using Blockchain for Sustainable Supply Chain Management in Industry 4.0. 333 The Shifting Paradigm.334 Literature Review. 336 Overview of Sustainable Supply Chain Management.338 Understanding Blockchain Technology. .339 Need for Sustainability and Security in Industry 4.0. 341 Integrating Blockchain with Sustainable Supply Chains. 342 xii
TABLE OF CONTENTS Innovative Applications and Case Studies. 343 The Autopilot Technology of Tesla. 344 IBM Food Trust and Blockchain. 344 Zoom Video Communications During the COVID-19 Pandemic.345 Conclusion. Chapter 13: Managing the Dynamics of New Technologies in the Global Supply Chain. 347 Supply Chain Overview. 349 Service Discovery. 349 Service Selection. 350 Service Composition. . 352 Service Execution. 353 Ethereum Blockchain-Based Design for Semantic Web. . 355 The Drawbacks of Traditional Semantic Web Service Composition Handling. . 35 Cloud Computing Can Be Used in the Blockchain as a Webservice. 357 Blockchain As a Service (BaaS). 358 Advantages of
BaaS. 359 Disadvantages of BaaS. . 360 Software As a Service.360 Platform As a Service.362 Infrastructure as a Service inBlockchain. 364 Conclusion. 365 xiii
TABLE OF CONTENTS Chapter 14: Future Trends and Challenges in Supply Chain Technology. . 367 Role of the Digital Supply Chain. 368 Characteristics of Digital Supply Chain. New Digital Technology in Supply Chain.375 Drone Technology. Warehouse Robotics.377 Machine Learning. 377 Internet of Things *. 378 AR and VR Technology in Supply Chain. 379 Challenges in Managing Digital Supply Chain. 379 Conclusion. „. 380 Chapter 15: Real-World Applications of Generative Al For Data Augmentation. Fundamentals of ‘Data Augmentation’. 384 Generative Al for Data Augmentation. 385 Understanding Generative Al: Unravelling GANs and
VAEs. 386 Generative Adversarial Networks. ,. 388 Variational Autoencoders. 389 Image Data Augmentation. Style Transfer. 392 Super-Resolution Techniques. 392 Conditional GANs for Image Synthesis. 392 Top Three Data Augmentation Libraries in Python for Images. 393 Benefits and Outcomes. 395 Text Data Augmentation. .395 Language Modeling’. 395 Paraphrasing. 396 xiv 372
TABLE OF CONTENTS Text-to-lmage Synthesis. 396 Top Three Data Augmentation Libraries in Python for Text. 397 Benefits and Outcomes. 398 Audio Data Augmentation. .399 Pitch Modulation.;. 399 Genre Transformation. Speech Synthesis. . . 400 Speech Recognition. 400 Benefits and Outcomes. 401 Challenges and Ethical Considerations: Navigating the Generative Landscape. 401 Bias, Fairness, and Transparency. 401 Responsible Development and Deployment. 403 Future Directions and Emerging Trends. Advancements in Generative Models. 404 404 Future Directions and Emerging Trends in Interdisciplinary Applications of
Generative Al. 406 Bridging Divides: Generative Al in Interdisciplinary Applications. 406 Navigating the Horizon: Emerging Trends in Generative Al Applications.408 The Road Ahead: Nurturing Collaborative Innovation. 409 Call to Action. 410 Conclusion. 412 Chapter 16: Revolutionizing Supply Chain Dynamics: A Comprehensive Case Analysis of Synergies in Blockchain, loT, and Al Integration. . 413 Introduction. 414 Purpose Behind the Research. 416 Literature Review. Theoretical Framework. 417 XV
TABLE OF CONTENTS Key Concepts. 418 Challenges with loT, Al, and Blockchain in SCM. 420 Best practices for loT, Al, and Blockchain in SCM. 421 Case Study: Synergistic Assimilation of Al, loT, and Blockchain Technologies in SCM. 423 Description. ;. 424 Analysis. 425 Implication of Study. 426 Future Research Direction. ,. 427 Conclusion. 429 Correction to: Al-Enabled Supply Chain Planning and Execution: A Pathway to Sustainability. Cl References. 431 Index. 523 xvi |
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| spelling | Blockchain, IoT, and AI Technologies for Supply Chain Management Apply Emerging Technologies to Address and Improve Supply Chain Management edited by Dr. Veena Grover, Dr. B. Balamurugan Balusamy, Dr. Mariofanna Milanova, Dr. A. Yovan Felix Berkeley, CA Apress [2024] xx, 544 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Blockchain Internet of Things Artificial Intelligence Blockchains (Databases) Internet of things Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Internet der Dinge (DE-588)7713781-4 gnd rswk-swf Supply Chain Management (DE-588)4684051-5 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Blockchain (DE-588)1124028595 gnd rswk-swf Supply Chain Management (DE-588)4684051-5 s Blockchain (DE-588)1124028595 s Internet der Dinge (DE-588)7713781-4 s Künstliche Intelligenz (DE-588)4033447-8 s Datenverarbeitung (DE-588)4011152-0 s b DE-604 Grover, Veena edt Balusamy, Balamurugan (DE-588)123627511X edt Milanova, Mariofanna edt Felix, Yovan edt Erscheint auch als Online-Ausgabe 979-8-8688-0315-4 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035260901&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Blockchain, IoT, and AI Technologies for Supply Chain Management Apply Emerging Technologies to Address and Improve Supply Chain Management Blockchain Internet of Things Artificial Intelligence Blockchains (Databases) Internet of things Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Internet der Dinge (DE-588)7713781-4 gnd Supply Chain Management (DE-588)4684051-5 gnd Datenverarbeitung (DE-588)4011152-0 gnd Blockchain (DE-588)1124028595 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)7713781-4 (DE-588)4684051-5 (DE-588)4011152-0 (DE-588)1124028595 |
| title | Blockchain, IoT, and AI Technologies for Supply Chain Management Apply Emerging Technologies to Address and Improve Supply Chain Management |
| title_auth | Blockchain, IoT, and AI Technologies for Supply Chain Management Apply Emerging Technologies to Address and Improve Supply Chain Management |
| title_exact_search | Blockchain, IoT, and AI Technologies for Supply Chain Management Apply Emerging Technologies to Address and Improve Supply Chain Management |
| title_full | Blockchain, IoT, and AI Technologies for Supply Chain Management Apply Emerging Technologies to Address and Improve Supply Chain Management edited by Dr. Veena Grover, Dr. B. Balamurugan Balusamy, Dr. Mariofanna Milanova, Dr. A. Yovan Felix |
| title_fullStr | Blockchain, IoT, and AI Technologies for Supply Chain Management Apply Emerging Technologies to Address and Improve Supply Chain Management edited by Dr. Veena Grover, Dr. B. Balamurugan Balusamy, Dr. Mariofanna Milanova, Dr. A. Yovan Felix |
| title_full_unstemmed | Blockchain, IoT, and AI Technologies for Supply Chain Management Apply Emerging Technologies to Address and Improve Supply Chain Management edited by Dr. Veena Grover, Dr. B. Balamurugan Balusamy, Dr. Mariofanna Milanova, Dr. A. Yovan Felix |
| title_short | Blockchain, IoT, and AI Technologies for Supply Chain Management |
| title_sort | blockchain iot and ai technologies for supply chain management apply emerging technologies to address and improve supply chain management |
| title_sub | Apply Emerging Technologies to Address and Improve Supply Chain Management |
| topic | Blockchain Internet of Things Artificial Intelligence Blockchains (Databases) Internet of things Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Internet der Dinge (DE-588)7713781-4 gnd Supply Chain Management (DE-588)4684051-5 gnd Datenverarbeitung (DE-588)4011152-0 gnd Blockchain (DE-588)1124028595 gnd |
| topic_facet | Blockchain Internet of Things Artificial Intelligence Blockchains (Databases) Internet of things Artificial intelligence Künstliche Intelligenz Internet der Dinge Supply Chain Management Datenverarbeitung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035260901&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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