Springer FMEA Using Uncertainty Theories and MCDM Methods

This book offers a thorough and systematic introduction to the modified failure mode and effect analysis (FMEA) models based on uncertainty theories (e.g. fuzzy logic, intuitionistic fuzzy sets, D numbers and 2-tuple linguistic variables) and various multi-criteria decision making (MCDM) approaches such as distance-based MCDM, compromise ranking MCDM and hybrid MCDM, etc. As such, it provides essential FMEA methods and practical examples that can be considered in applying FMEA to enhance the reliability and safety of products and services. The book offers a valuable guide for practitioners and researchers working in the fields of quality management, decision making, information science, management science, engineering, etc. It can also be used as a textbook for postgraduate and senior undergraduate students. From the Back Cover This book offers a thorough and systematic introduction to the modified failure mode and effect analysis (FMEA) models based on uncertainty theories (e.g. fuzzy logic, intuitionistic fuzzy sets, D numbers and 2-tuple linguistic variables) and various multi-criteria decision making (MCDM) approaches such as distance-based MCDM, compromise ranking MCDM and hybrid MCDM, etc. As such, it provides essential FMEA methods and practical examples that can be considered in applying FMEA to enhance the reliability and safety of products and services. The book offers a valuable guide for practitioners and researchers working in the fields of quality management, decision making, information science, management science, engineering, etc. It can also be used as a textbook for postgraduate and senior undergraduate students. About the Author Hu-Chen Liu received his MSc degree in Industrial Engineering from Tongji University, Shanghai, China, in 2010, and his PhD in Industrial Engineering and Management from Tokyo Institute of Technology in 2013. He is currently an Associate Professor at the School of Management, Shanghai University. His main research interests include quality and reliability management, multi-criteria decision making, Petri Net theory and applications, and healthcare operation management. He has published more than 60 papers in these areas in leading journals, such as IIE Transactions, IEEE Transactions on Cybernetics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Reliability, the International Journal of Production Research, Engineering Applications of Artificial Intelligence, and Computers & Industrial Engineering. He has engaged in numerous scientific research projects at both the national and provincial level, including those for the National Natural Science of Foundation of China, Shanghai Young Eastern Scholar Program, and Shanghai Pujiang Program. Dr. Liu is a member of the INFORMS Quality Statistics and Reliability Section; the IEEE Transactions on Reliability, IEEE Transactions on Systems, Man, and Cybernetics, and IEEE Engineering in Medicine and Biology groups; the Japan Ergonomics Society; and the China Association for Quality.