Risk, Reliability and Resilience in Operations Management examines measurement tools and techniques and their real-world application. The book provides a resource that is needed to help solve complex business operations and global supply chains and their important requirements for the accurate measurement of risk, reliability, and resilience to inform decisions and reduce risk. In addition, the book discusses advancements in technology and data analytics, with final sections covering the COVID-19 pandemic and how it has put greater emphasis on the importance of risk, reliability, and resilience in business operations.
This book provides a timely overview of measurement techniques and their application in operations management, offering insights into future directions in this field.
1. Cover image - p. i 2. Title page - p. iii 3. Copyright - p. iv 4. Table of Contents - p. v 5. Chapter 1 Toward a holistic perspective on risk, resilience, and reliability in operations management - p. 1 6. Chapter 2 A guide to end users on supply chain risk modeling and management - p. 13 7. Chapter 3 Supply chain risk modeling through inventory aggregation under uncertain scenarios: An integrated framework - p. 43 8. Chapter 4 Risk assessment of electric vehicle supply chain in India using fuzzy analytical hierarchical process - p. 69 9. Chapter 5 Impact of supply chain risk and supply chain finance on firm performance: Evidences from Indian SMEs - p. 87 10. Chapter 6 Risk mitigation in industrial robot selection for packing: AHP–MOORA framework in practice - p. 103 11. Chapter 7 Operational risk and resilience: Insights from banking case studies - p. 121 12. Chapter 8 Analysis of risk factors in millets supply chain using interpretive structural modeling approach - p. 155 13. Chapter 9 Artificial intelligence applications in supply chain risk management for reliable operations - p. 183 14. Chapter 10 Attention-based convolutional gated recurrent unit model for turbofan engine remaining useful life prediction - p. 201 15. Chapter 11 Integrating human factors in inspection planning of wind turbines - p. 215 16. Chapter 12 Integrating human reliability factors in supply chain resilience frameworks - p. 227 17. Chapter 13 Can we achieve resilient supply chain performance without sacrificing business profitability? A practitioner's perspective - p. 249 18. Chapter 14 Supply chain resilience in context to healthcare sector: An overview - p. 271 19. Chapter 15 Cyber-physical fusion architecture: To mitigate risk for resilient supply chain - p. 291 20. Chapter 16 Disruption management in the Indian steel industry: Enhancing resilience through digital interventions - p. 313 21. Chapter 17 Supply chain resilience: Concepts, strategies, and modeling techniques - p. 335 22. Index - p. 359
Risk, Reliability and Resilience in Operations Management examines measurement tools and techniques and their real-world application. The book provides a resource that is needed to help solve complex business operations and global supply chains and their important requirements for the accurate measurement of risk, reliability, and resilience to inform decisions and reduce risk. In addition, the book discusses advancements in technology and data analytics, with final sections covering the COVID-19 pandemic and how it has put greater emphasis on the importance of risk, reliability, and resilience in business operations.
This book provides a timely overview of measurement techniques and their application in operations management, offering insights into future directions in this field.
1. Cover image - p. i 2. Title page - p. iii 3. Copyright - p. iv 4. Table of Contents - p. v 5. Chapter 1 Toward a holistic perspective on risk, resilience, and reliability in operations management - p. 1 6. Chapter 2 A guide to end users on supply chain risk modeling and management - p. 13 7. Chapter 3 Supply chain risk modeling through inventory aggregation under uncertain scenarios: An integrated framework - p. 43 8. Chapter 4 Risk assessment of electric vehicle supply chain in India using fuzzy analytical hierarchical process - p. 69 9. Chapter 5 Impact of supply chain risk and supply chain finance on firm performance: Evidences from Indian SMEs - p. 87 10. Chapter 6 Risk mitigation in industrial robot selection for packing: AHP–MOORA framework in practice - p. 103 11. Chapter 7 Operational risk and resilience: Insights from banking case studies - p. 121 12. Chapter 8 Analysis of risk factors in millets supply chain using interpretive structural modeling approach - p. 155 13. Chapter 9 Artificial intelligence applications in supply chain risk management for reliable operations - p. 183 14. Chapter 10 Attention-based convolutional gated recurrent unit model for turbofan engine remaining useful life prediction - p. 201 15. Chapter 11 Integrating human factors in inspection planning of wind turbines - p. 215 16. Chapter 12 Integrating human reliability factors in supply chain resilience frameworks - p. 227 17. Chapter 13 Can we achieve resilient supply chain performance without sacrificing business profitability? A practitioner's perspective - p. 249 18. Chapter 14 Supply chain resilience in context to healthcare sector: An overview - p. 271 19. Chapter 15 Cyber-physical fusion architecture: To mitigate risk for resilient supply chain - p. 291 20. Chapter 16 Disruption management in the Indian steel industry: Enhancing resilience through digital interventions - p. 313 21. Chapter 17 Supply chain resilience: Concepts, strategies, and modeling techniques - p. 335 22. Index - p. 359
