Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben

2016 | Buch

FMEA Kapitel lesen Erstes Kapitel lesen

FMEA Using Uncertainty Theories and MCDM Methods

verfasst von: Hu-Chen Liu

Verlag: Springer Singapore

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

Einloggen, um Zugang zu erhalten
insite
SUCHEN

Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter

FMEA and Its Improvements

Frontmatter
Chapter 1. FMEA
Abstract
Failure mode and effect analysis (FMEA), first developed as a formal design methodology in the 1960s by the aerospace industry, is a systematic methodology designed to identify known and potential failure modes and their causes, and the effects of failure on the system or end users, to assess the risk associated with the identified failure modes and prioritize them for proactive interventions, and to carry out corrective actions for the most serious issues to enhance the reliability and safety of products and processes, designs, or services.
Hu-Chen Liu
Chapter 2. FMEA Using Uncertainty Theories and MCDM Methods
Abstract
To resolve the shortcomings of the conventional RPN method, a great number of studies have been conducted on the improvement of FMEA and a variety of alternative approaches have been proposed.
Hu-Chen Liu

FMEA Based on Distance-Based MCDM Methods

Frontmatter
Chapter 3. FMEA Using Intuitionistic Fuzzy Hybrid Weighted Euclidean Distance Operator
Abstract
The concept of intuitionistic fuzzy sets (IFSs) is a generalization of fuzzy sets (Zadeh 1965) and was first introduced by Atanassov (1986). The IFS, characterized by membership function, non-membership function, and hesitancy (indeterminancy) function, can depict the fuzzy character of data more comprehensively and is more useful in dealing with vagueness and uncertainty.
Hu-Chen Liu
Chapter 4. FMEA Using Interval 2-Tuple Hybrid Weighted Distance Measure
Abstract
The interval 2-tuple linguistic representation method (Zhang 2012) is a useful computational model for computing with words, which has the capability of expressing different types of decision makers’ assessment information and has been widely used in many real-world engineering and management problems. Moreover, via this method, decision makers can express their preferences by the use of linguistic term sets with different granularity of uncertainty.
Hu-Chen Liu
Chapter 5. FMEA Using Fuzzy Evidential Reasoning and GRA Method
Abstract
Two most important issues of FMEA are the acquirement of FMEA team members’ diversity assessments and the determination of risk priorities of the identified failure modes.
Hu-Chen Liu
Chapter 6. FMEA Using D Numbers and Grey Relational Projection Method
Abstract
As stated in Chap. 5, two critical issues of FMEA are the representation and handling of various types of risk assessments and the determination of risk priorities of failure modes.
Hu-Chen Liu

FMEA Based on Compromise Ranking MCDM Methods

Frontmatter
Chapter 7. FMEA Using Fuzzy VIKOR Method
Abstract
Fuzzy set theory is a way of addressing vague concepts, which provides a means for representing uncertainty involved in the real situation.
Hu-Chen Liu
Chapter 8. FMEA Using Intuitionistic Fuzzy Hybrid TOPSIS Approach
Abstract
In Chap. 3, the theory of intuitionistic fuzzy sets (IFSs) has been proven to be useful for FMEA to deal with the vagueness and uncertainty existed in the risk-evaluating process. The technique for order preference by similarity to ideal solution (TOPSIS), proposed by Hwang and Yoon (1981), is one of the well-known MCDM methods and has been extensively applied to various engineering and management fields.
Hu-Chen Liu

FMEA Based on Other MCDM Methods

Frontmatter
Chapter 9. FMEA Using Fuzzy DEMATEL Technique
Abstract
The decision-making trial and evaluation laboratory (DEMATEL) technique is a comprehensive method that supports MCDM problems in building and analyzing a structural model involving causal relationships between components of a system.
Hu-Chen Liu
Chapter 10. FMEA Using Fuzzy Digraph and Matrix Approach
Abstract
The digraph and matrix approach (Rao and Gandhi 2002; Baykasoglu 2014) is based on graph theory and matrix algebra and has some desirable properties, such as “ability to model criteria interactions” and “ability to generate hierarchical models,” for solving complex decision-making problems. Considering the wide usage of fuzzy set theory and the advantages of digraph and matrix approach, Liu et al. (2014) proposed a new FMEA model, which uses fuzzy digraph and matrix approach for risk evaluation and prioritization of failure modes.
Hu-Chen Liu
Chapter 11. FMEA Using Fuzzy MULTIMOORA Method
Abstract
The MULTIMOORA method (Brauers and Zavadskas 2010) is a recently introduced MCDM method based on the multi-objective optimization by ratio analysis (MOORA) (Brauers and Zavadskas 2006). Due to its characteristics and capabilities, the use of MULTIMOORA method has been increasing in the literature. In Liu et al. (2014), the authors proposed a new risk priority model by applying fuzzy set theory and MULTIMOORA method for failure modes assessment and ranking in FMEA. The risk factors and their relative weights are treated as fuzzy variables and evaluated by using fuzzy linguistic terms and fuzzy ratings. An extended MULTIMOORA method is used to determine the risk ranking of the failure modes that have been identified. The new risk priority model can be a useful tool for determining the ranking orders of the identified failure modes in FMEA and taking preventive actions for safety and reliability improvement.
Hu-Chen Liu

FMEA Based on Hybrid MCDM Methods

Frontmatter
Chapter 12. FMEA Using Combination Weighting and Fuzzy VIKOR Method
Abstract
Due to its characteristics and capabilities, the VIKOR method has been employed by Liu et al. (2012) to resolve the risk evaluation problem under fuzzy environment. To overcome the shortcomings and enhance the assessment capability of FMEA, Liu et al. (2015) further presented a hybrid MCDM approach for risk analysis based on combination weighting and fuzzy VIKOR method. Combination of fuzzy analytic hierarchy process (AHP) and entropy method is applied for risk factor weighting in the proposed approach. The risk priorities of the identified failure modes are obtained through next steps based on fuzzy VIKOR method.
Hu-Chen Liu
Chapter 13. FMEA Combining VIKOR, DEMATEL, and AHP Methods
Abstract
Liu et al. (2015a) developed a hybrid MCDM method for FMEA that combines VIKOR, DEMATEL (decision-making trial and evaluation laboratory), and AHP (analytic hierarchy process).
Hu-Chen Liu
Backmatter
Metadaten
Titel
FMEA Using Uncertainty Theories and MCDM Methods
verfasst von
Hu-Chen Liu
Copyright-Jahr
2016
Verlag
Springer Singapore
Electronic ISBN
978-981-10-1466-6
Print ISBN
978-981-10-1465-9
DOI
https://doi.org/10.1007/978-981-10-1466-6

Neuer Inhalt

    Bildnachweise