Risk, Reliability and Resilience in Operations Management -

Risk, Reliability and Resilience in Operations Management

Buch | Softcover
350 Seiten
2025
Elsevier - Health Sciences Division (Verlag)
978-0-443-29812-7 (ISBN)
209,95 inkl. MwSt
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.

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. 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. Gunjan Soni is an Assistant Professor in the Department of Mechanical Engineering at Malaviya National Institute of Technology in Jaipur, Rajasthan, India. With over 18 years of teaching experience at both undergraduate and graduate levels, his research interests lie in Predictive Maintenance and the application of Digital Technology in Supply Chain Management. Gunjan has published over 80 papers in peer-reviewed journals, including esteemed publications such as the Journal of Business Research, IEEE Transactions on Engineering Management, Production Planning and Control, Supply Chain Management: An International Journal, Annals of Operations Research, Computers and Industrial Engineering, International Journal of Logistics Research and Applications, and Expert Systems and its Applications. He has also served as a guest editor for several special issues in journals like the International Journal of Logistics Management, Management of Environmental Quality, and the International Journal of Intelligent Enterprise. Surya Prakash is an Associate Professor in Supply Chain and Logistics Management at IIHMR University in Jaipur, India. He holds a Ph.D. in Supply Chain Management from Malaviya National Institute of Technology, Jaipur, and a Master of Engineering in Manufacturing Systems from Birla Institute of Technology and Science, Pilani. Previously, he served as an Associate Professor at BML Munjal University, Gurgaon, and as an Assistant Professor at Northcap University (formerly ITM University), Gurgaon. Dr. Prakash has extensive experience in academia and research, with publications in renowned journals such as Annals of Operations Research, European Journal of Operations Research, Journal of Cleaner Production, Benchmarking: An International Journal, Grey Systems: Theory and Application, and International Journal of Advanced Operations Management. His research interests encompass supply chain management, risk management, network design, robust optimization, Industry 4.0, and operations management. Additionally, he is an expert in IPR realization and serves as a mentor for startups in innovation and technology management.

1. Introduction
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

Erscheint lt. Verlag 1.4.2025
Reihe/Serie Advances in Reliability Science
Verlagsort Philadelphia
Sprache englisch
Maße 152 x 229 mm
Themenwelt Technik Maschinenbau
ISBN-10 0-443-29812-2 / 0443298122
ISBN-13 978-0-443-29812-7 / 9780443298127
Zustand Neuware
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