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
- Cover image
- Title page
- Copyright
- Table of Contents
- Chapter 1 Toward a holistic perspective on risk, resilience, and reliability in operations management
- 1.1 Introduction
- 1.2 Literature review
- 1.3 Risks in operations management
- 1.4 Resilience in operations management
- 1.5 Reliability in operations management
- 1.6 Contribution of the book chapters
- 1.7 Discussion
- 1.8 Implications
- 1.9 Conclusion
- References
- Chapter 2 A guide to end users on supply chain risk modeling and management
- 2.1 Introduction
- 2.2 Risks in supply chain
- 2.3 Implications
- 2.4 Future perspectives
- 2.5 Conclusion
- References
- Chapter 3 Supply chain risk modeling through inventory aggregation under uncertain scenarios: An integrated framework
- 3.1 Introduction
- 3.2 Materials and methods
- 3.3 Results
- 3.4 Formal analysis and investigation, validation, calculation, and expression of results
- 3.5 Discussion and evaluation
- 3.6 Conclusion
- References
- Chapter 4 Risk assessment of electric vehicle supply chain in India using fuzzy analytical hierarchical process
- 4.1 Introduction
- 4.2 Literature review
- 4.3 Research methodology
- 4.4 Results
- 4.5 Implications
- 4.6 Conclusion
- References
- Chapter 5 Impact of supply chain risk and supply chain finance on firm performance: Evidences from Indian SMEs
- 5.1 Introduction
- 5.2 Materials and methods
- 5.3 Formal analysis and investigation, validation, calculation and expression of results
- 5.4 Discussion and evaluation
- 5.5 Conclusion
- References
- Chapter 6 Risk mitigation in industrial robot selection for packing: AHP–MOORA framework in practice
- 6.1 Introduction
- 6.2 Literature review
- 6.3 Problem statement
- 6.4 Methodology
- 6.5 Solution approaches
- 6.6 Results and discussion
- 6.7 Conclusions and future research
- References
- Chapter 7 Operational risk and resilience: Insights from banking case studies
- 7.1 Introduction
- 7.2 Understanding operational risk
- 7.3 Trends revolutionizing risk management in banking
- 7.4 Case study analysis
- 7.5 Prospects of risk management in banking
- 7.6 Enhancing model-risk management in the post-COVID-19 era for banking models
- 7.7 Role of corporate governance
- 7.8 Recommendations
- 7.9 Practical implications
- 7.10 Conclusion
- References
- Chapter 8 Analysis of risk factors in millets supply chain using interpretive structural modeling approach
- 8.1 Introduction
- 8.2 Literature review
- 8.3 Decision-making criteria
- 8.4 Model development
- 8.5 Model solution
- 8.6 Limitation and future scope
- References
- Chapter 9 Artificial intelligence applications in supply chain risk management for reliable operations
- 9.1 Introduction
- 9.2 SCM areas
- 9.3 Conceptual models in AISCRM
- 9.4 AISCRM models: conclusive remarks
- 9.5 Suggestive remarks on AISCRM
- 9.6 Conclusion
- References
- Chapter 10 Attention-based convolutional gated recurrent unit model for turbofan engine remaining useful life prediction
- 10.1 Introduction
- 10.2 Literature review
- 10.3 Dataset description
- 10.4 Construction of the prediction model
- 10.5 Results and discussion
- 10.6 Conclusion
- References
- Chapter 11 Integrating human factors in inspection planning of wind turbines
- 11.1 Introduction
- 11.2 Human factors
- 11.3 Performance shaping factors
- 11.4 Mitigation strategies for HE due to PSFs
- 11.5 Conclusion
- References
- Chapter 12 Integrating human reliability factors in supply chain resilience frameworks
- 12.1 Introduction
- 12.2 Brief literature review
- 12.3 Proposed integrated framework
- 12.4 Case study
- 12.5 Enhancing supply chain resilience in the food and beverage industry: a case of Fresh-Bites
- 12.6 Conclusions and future directions
- References
- Chapter 13 Can we achieve resilient supply chain performance without sacrificing business profitability? A practitioner's perspective
- 13.1 Introduction
- 13.2 Literature summary
- 13.3 Value case details
- 13.4 Summary and conclusions
- References
- Chapter 14 Supply chain resilience in context to healthcare sector: An overview
- 14.1 Introduction
- 14.2 Literature review
- 14.3 Methodology
- 14.4 Results
- 14.5 Discussion and implication
- 14.6 Conclusion
- References
- Chapter 15 Cyber-physical fusion architecture: To mitigate risk for resilient supply chain
- 15.1 Introduction
- 15.2 Literature review of disruptive technologies in SCM
- 15.3 Proposed cyber-physical fusion architecture for resilient supply chain
- 15.4 Functional implementation of cyber-physical fusion architecture
- 15.5 Opportunities and future perspectives
- 15.6 Conclusion
- References
- Chapter 16 Disruption management in the Indian steel industry: Enhancing resilience through digital interventions
- 16.1 Introduction
- 16.2 Literature review
- 16.3 Research methodology
- 16.4 Results and discussion
- 16.5 Conclusion
- Acknowledgment
- Interview questions
- References
- Chapter 17 Supply chain resilience: Concepts, strategies, and modeling techniques
- 17.1 Introduction
- 17.2 Uncertainties in supply chain
- 17.3 Supply chain resilience
- 17.4 Quantification/measuring resilience
- 17.5 Strategies for building resilience
- 17.6 Modeling resilience
- 17.7 Conclusion
- References
- Index
- Edition: 1
- Published: April 14, 2025
- No. of pages (Paperback): 380
- No. of pages (eBook): 350
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780443298127
- eBook ISBN: 9780443298134
SM
Sachin Mangla
Sachin Kumar Mangla specializes in Green and Sustainable Supply Chain and Operations, Industry 4.0, Circular Economy, Decision Making, and Simulation. With over five years of teaching experience in Supply Chain and Operations Management and Decision Making, he currently teaches at multiple universities in the UK, Turkey, India, China, France, and others. He is dedicated to conducting and promoting high-quality research and has published/presented numerous papers in esteemed international/national journals such as the International Journal of Production Economics, Journal of Business Research, International Journal of Production Research, Computers and Operations Research, Production Planning and Control, Business Strategy and the Environment, Annals of Operations Research, Transportation Research Part-D, and Transportation Research Part-E. Sachin holds various editorial positions and serves as a Guest Editor for special issues in top-tier journals. Additionally, he is actively involved in multiple research projects focused on various aspects and applications of Circular Economy and Sustainability.
Affiliations and expertise
Professor, OP Jindal Global University, Sonipat, IndiaYK
Yigit Kazancoglu
Yigit Kazancoglu graduated from Eastern Mediterranean University in 2002 and obtained an MBA degree from Coventry University in 2003 and Izmir University of Economics in 2004. He went on to earn a PhD from Ege University. From 2002 to 2005, he worked as a research assistant, followed by a position as an instructor from 2005 to 2008. He served as an assistant professor from 2008 to 2014 and an associate professor from 2014 to 2016 in the Department of Business Administration at Izmir University of Economics. Currently, he holds the position of professor in the Department of Logistics Management at Yasar University. Yigit specializes in logistics management, multi-criteria decision making, supply chain management, forecasting, and total quality management. He has published over a hundred papers in esteemed peer-reviewed journals such as the Journal of Business Research, Production Planning and Control, Journal of Cleaner Production, and Annals of Operations Research.
Affiliations and expertise
Yasar University, Izmir, TurkeyGS
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.
Affiliations and expertise
Malaviya National Institute of Technology, Jaipur, Rajasthan, IndiaSP
Surya Prakash
Dr. Surya Prakash is Associate Professor, Operations Management at Great Lakes Institute of Management, Gurugram, India. He has rich experience of teaching and research at BML Munjal University, IIHMR University Jaipur. He received his Ph.D. in Supply Chain Management from Malaviya National Institute of Technology, Jaipur, India, and master’s in manufacturing systems from the Birla Institute of Technology and Science, Pilani, Rajasthan, India. Dr. Prakash has published research articles in leading OM and SCM journals. He has edited book on risk and reliability in operations management and led FDPs, MDPs and funded research projects. His research interests include supply chain management, network design, robust optimization, Industry 4.0, and decision making in operations management.
Affiliations and expertise
Great Lakes Institute of Management, Gurugram, Haryana, IndiaRead Risk, Reliability and Resilience in Operations Management on ScienceDirect