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FMEA Using Uncertainty Theories and MCDM Methods

Name: FMEA Using Uncertainty Theories and MCDM Methods
Brand: Springer Verlag, Singapore
SKU: 19704295
Price: 132.95 EUR
Availability: InStock
Author: Hu-Chen Liu
ISBN: 9789811093616

Hu-Chen Liu

Jezik

Angleščina

Knjiga Mehka

Koda Libristo: 19704295

Založba Springer Verlag, Singapore, maj 2018

This book offers a thorough and systematic introduction to the modified failure mode and effect anal... Celoten opis

Koda Libristo: 19704295

322 b

132.95 €

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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.

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O knjigi

Polni naslov FMEA Using Uncertainty Theories and MCDM Methods

Avtor Hu-Chen Liu

Jezik

Angleščina

Vezava Knjiga - Mehka

Datum izida 2018

Število strani 219

EAN 9789811093616

ISBN 9789811093616

Koda Libristo 19704295

Založba Springer Verlag, Singapore

Teža 454

Mere 155 x 235 x 13

Kategorije

Economics, Finance, Business & Management > Business & Management > Management & management techniques > Management of specific areas > Production & quality control management

Economics, Finance, Business & Management > Business & Management > Management & management techniques > Management decision making

Technology, Engineering, Agriculture > Mechanical engineering & materials > Production engineering > Industrial quality control

Economics, Finance, Business & Management > Business & Management > Operational research