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 mult

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FMEA Using Uncertainty Theories and MCDM Methods

FMEA Using Uncertainty Theories and MCDM Methods

Hu-Chen Liu

FMEA Using Uncertainty Theories and MCDM Methods

123

Hu-Chen Liu School of Management Shanghai University Shanghai People’s Republic of China and School of Economics and Management Tongji University Shanghai People’s Republic of China

ISBN 978-981-10-1465-9 DOI 10.1007/978-981-10-1466-6

ISBN 978-981-10-1466-6

(eBook)

Library of Congress Control Number: 2016939575 © Springer Science+Business Media Singapore 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Science+Business Media Singapore Pte Ltd.

Preface

Since its introduction by the NASA in 1960s, failure mode and effect analysis (FMEA) has been extensively used to help assure the safety and reliability of products in various industries. Central to FMEA is the prioritization of failure modes based on risk priority number (RPN), which is calculated by the product of the risk factors occurrence (O), severity (S), and detection (D) scaled by experts with an integer number from 1 to 10. However, the conventional RPN method has been criticized as having many inherent deficiencies, thus affecting its effectiveness and limiting its actual applications. In the processes of risk assessment, FMEA team members may not possess a sufficient level of knowledge regarding the risk analysis problem due to the increasing complexity of products, designs, processes, and/or services. In such cases, they usually have some uncertainty in providing their judgments on the identified failure modes, which makes the results of risk evaluation exhibit the characteristics of uncertainty, fuzziness, and imprecision. Besides, the mathematical formula (i.e., multiplication) adopted for determining the failure priority is questionable and lacks adequate scientific basis. For example, the relative weights of risk factors are n