FMEA Using Uncertainty Theories and MCDM Methods [electronic resource] /
Liu, Hu-Chen.author.
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.
Includes bibliographical references at the end of each chapters.
 FMEA and Its Improvements -- FEMA Based on Distance-Based MCDM Methods -- FEMA Based on Compromise Ranking MCDM Methods -- FEMA Based on Other MCDM Methods -- FEMA Based on Hybrid 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.
Quality control.
Reliability.
Industrial safety.
Operations research.
Decision making.
Production management.
Quality Control, Reliability, Safety and Risk.
Operations Research/Decision Theory.
Operations Management.