FMEA Using Uncertainty Theories and MCDM Methods

FMEA Using Uncertainty Theories and MCDM Methods
Springer | Production & Process Engineering | June 24, 2016 | ISBN-10: 9811014655 | 219 pages | pdf | 3.75 mb

Authors: Liu, Hu-Chen
The first book on the improvements of traditional failure mode and effect analysis (FMEA)
Introduces novel FMEA models based on uncertainty theories and multi-criteria decision-making (MCDM) methods
Shares a wealth of concrete examples to illustrate the benefits of the enhanced FMEA models

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

Number of Illustrations and Tables
28 b/w illustrations, 11 illustrations in colour
Quality Control, Reliability, Safety and Risk
Operation Research/Decision Theory
Operations Management

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