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.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780443298127
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Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780443298127
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