
Risk, Reliability and Resilience in Operations Management
- 1st Edition - April 14, 2025
- Imprint: Elsevier
- Editors: Sachin Mangla, Yigit Kazancoglu, Gunjan Soni, Surya Prakash
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 9 8 1 2 - 7
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 9 8 1 3 - 4
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… Read more
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Request a sales quoteRisk, 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.
- Provides a comprehensive overview on the measurement of risk, reliability, and resilience in operations management
- Delves into the practical application of risk, reliability, and resilience management techniques in real-world scenarios, providing case studies and examples that demonstrate how businesses can effectively measure and manage these factors to make informed decisions
- Explores emerging trends, technological advancements, and potential developments that may impact risk measurement, reliability, and resilience
Industry professionals: Professionals working in operations management, supply chain management, risk management, and business continuity management. This includes job roles such as supply chain managers, operations managers, risk managers, and business continuity managers in various sectors, such as manufacturing, logistics, and service industries. Researchers and academics: Researchers and academics in the field of operations management, risk management, and supply chain management. It will provide a comprehensive overview of the measurement of risk, reliability, and resilience in operations management, examine different techniques and their application in real-world scenarios, and provide insights into future directions in this field. Students: Courses in operations management, supply chain management, risk management, and business continuity management at the undergraduate and graduate levels. The book will provide students with a comprehensive understanding of the measurement of risk, reliability, and resilience in operations management and its application in real-world scenarios
2. Risk Assessment Techniques and Management
3. Reliability Management Techniques
4. Resilience in Operations Management
5. Impact of Supply Chain Risk and Supply Chain Finance on Firm Performance: Evidence from Indian SMEs
6. Case on Risk in Operations Management
7. Case on Reliability in Operations Management
8. Case on Resilience in Operations Management
9. Case on Risk and Reliability in Operations Management
10. Modelling approaches for Risk in Operations Management
11. Modelling approaches for Reliability in Operations Management
12. Modelling approaches for Resilience in Operations Management
13. Integrated Modelling of Risk, Reliability and Resilience in Operations Management
14. Conclusion and Future Directions
- Edition: 1
- Published: April 14, 2025
- No. of pages (Paperback): 380
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780443298127
- eBook ISBN: 9780443298134
SM
Sachin Mangla
YK
Yigit Kazancoglu
GS
Gunjan Soni
Dr. Gunjan Soni holds B.E. (Mechanical Engineering) from The University of Rajasthan, M. Tech. (Industrial Engineering) from IIT-Delhi and PhD (Industrial Engineering) from Birla Institute of Technology, Pilani. He is having 19 years of experience and is now serving as an Associate professor (Department of Mechanical Engineering along with Joint faculty at Department of Artificial Intelligence and Data Engineering). At MNIT Jaipur he has developed several new courses such as Applied Machine Learning, Six Sigma, Artificial Intelligence in Manufacturing Systems,
Applied Probability and Statistics at UG and PG level. He has also established Intelligent Automation and Robotics Lab in the Department of Mechanical Engineering. He has published more than 120 papers in various international journals. He has guided 12 PhDs and over 24 Masters’ theses. He is doing four research projects in which two are international and other two are at national level. His major research contributions are in the areas of supply chain optimization, predictive maintenance, and AI applications in manufacturing systems.
SP