FMEA Using Uncertainty Theories and MCDM Methods [electronic resource] / by Hu-Chen Liu.

By:

Liu, Hu-Chen [author.]

Contributor(s):

SpringerLink (Online service)

Publisher: Singapore : Springer Singapore : Imprint: Springer, 2016Description: XII, 219 p. 39 illus., 11 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789811014666

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

658.56 23

LOC classification:

TA169.7
T55-T55.3
TA403.6

Online resources:

Click here to access online

Contents:

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.

In: Springer eBooksSummary: 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.

Item type:

eBooks

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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.