Interval-valued neutrosophic failure mode and effect analysis

2020 ◽  
Vol 39 (5) ◽  
pp. 6591-6601
Author(s):  
Elif Haktanır ◽  
Cengiz Kahraman
Keyword(s):  
Fuzzy Sets ◽  
Failure Mode ◽  
Neutrosophic Sets ◽  
Effect Analysis ◽  
Automotive Company ◽  
Fmea Method ◽  
Uncertainty Parameters ◽  
Picture Fuzzy Sets ◽  
Structured Approach ◽  
Interval Valued

Failure mode and effects analysis (FMEA) is a structured approach for discovering possible failures that may occur in the design of a product or process. Since classical FMEA is not sufficient to represent the vagueness and impreciseness in human decisions and evaluations, many extensions of ordinary fuzzy sets such as hesitant fuzzy sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets, spherical fuzzy sets, and picture fuzzy sets. Classical FMEA has been handled to capture the uncertainty through these extensions. Neutrosophic sets is a different extension from the others handling the uncertainty parameters independently. A novel interval-valued neutrosophic FMEA method is developed in this study. The proposed method is presented in several steps with its application to an automotive company in order to prioritize the potential causes of failures during the design process by considering multi-experts’ evaluations.

scholarly journals An Improving failure Mode and Effect Analysis Method for Pallet Exchange Rack Risk Analysis

2021 ◽  
Author(s):  
Chuanxi Jin ◽  
Yan Ran ◽  
Genbao Zhang
Keyword(s):  
Risk Factors ◽  
Failure Mode ◽  
Evaluation Method ◽  
Failure Modes ◽  
Programming Model ◽  
Distance Measures ◽  
Analysis Method ◽  
Effect Analysis ◽  
Fmea Method ◽  
Picture Fuzzy Sets

Abstract In order to enhance quality and reliability of mechanical and electrical products, the methods of taking corresponding corrective measures to eliminate or alleviate product failure in advance have been widely concerned. Failure mode and effects analysis (FMEA) is a typical prevention reliability analysis method. However, there are some drawbacks in traditional FMEA method. To overcome these drawbacks, we propose a hybrid risk evaluation method, which combines picture fuzzy sets (PFSs), the PF-linear programming model (PF-LPM) method and the PF-weighted aggregated sum product assessment (PF-WASPAS) method. We adopt PFSs to evaluate risks of products. In order to overcome drawback of the traditional distance between PFSs, some new distance measures between PFSs based on the Dice similarity and the Jaccard similarity are proposed by us. The PF-LPM method which considers the subjective weights of risk factors and calculates synthetical deviation with the Dice similarity-based distance is utilized to calculate the weights of risk factors. Moreover, the PFWA operator and the PFWG operator are used by us to fuse experts’ evaluation information. Then, the PF-WASPAS method is utilized to rank failure modes. Finally, an illustrative example with respect to pallet exchange rack is introduced, and the rationality, effectiveness and applicability of the proposed method are verified by a discussion and comparison.

FMEA method in operational reliability of forest harvesters

2020 ◽  
Vol 11 (1) ◽  
pp. 29-38
Author(s):  
Ján Kováč ◽  
Pavol Ťavoda ◽  
Jozef Krilek ◽  
Pavol Harvánek
Keyword(s):  
Failure Mode ◽  
Working Conditions ◽  
Operational Reliability ◽  
Human Potential ◽  
Information Analysis ◽  
Effect Analysis ◽  
Operational Conditions ◽  
Its Analysis ◽  
Fmea Method ◽  
Operational Data

AbstractThe article deals with the research of operational reliability of forest felling machines by FMEA method (Failure Mode and Effect Analysis). It describes collection of operational data and its analysis. It explains the procedure of realization for the method FMEA in the organization. Harvesters John Deere 1070D in the Company Lesy SR B. Bystrica were chosen for this research. The research was held in real operational conditions. Application of the FMEA method allows flexibility in case of unexpected situations and optimization of human potential abilities. FMEA tool is a tool preventing outages operational reliability and preventive tool for ensuring the maintenance of facilities. The method of information analysis mentioned below is simple ale precise enough for implementation in real working conditions.

A Novel spherical fuzzy CRITIC method and its application to prioritization of supplier selection criteria

2021 ◽  
pp. 1-8
Author(s):  
Cengiz Kahraman ◽  
Sezi Cevik Onar ◽  
Başar Öztayşi
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Business Processes ◽  
Multiple Criteria Decision Making ◽  
Decision Matrix ◽  
Neutrosophic Sets ◽  
Numerical Illustration ◽  
Picture Fuzzy Sets

Linguistic terms are quite suitable to make evaluations in multiple criteria decision making problems since humans prefer them rather than sharp evaluations. When linguistic evaluations are used in the decision matrix instead of exact numerical values, fuzzy set theory can capture the vagueness in the linguistic evaluations. Ordinary fuzzy sets have been extended to many new types of fuzzy sets such as intuitionistic fuzzy sets, neutrosophic sets, spherical fuzzy sets and picture fuzzy sets. Spherical fuzzy sets are an extension of picture fuzzy sets whose squared sum of their parameters is at most equal to one. This paper develops a novel spherical fuzzy CRiteria Importance Through Intercriteria Correlation (CRITIC) method and applies it for prioritizing supplier selection criteria. Supplier selection is one of the most critical aspects of any organization since any mistake in this process may cause poor supplier performance and inefficiencies in the business processes. Supplier selection is a multi-criteria decision making problem involving several conflicting criteria and alternatives. A numerical illustration of the proposed method is also given for this problem.

scholarly journals Reliability Analysis of Forest Machines Due to FMEA Method

2018 ◽  
Vol 26 (4) ◽  
pp. 200-206
Author(s):  
Pavol Ťavoda ◽  
Ján Kováč ◽  
Zygmunt Ł Łukaszczyk
Keyword(s):  
Reliability Analysis ◽  
Failure Mode ◽  
Real World ◽  
Operational Reliability ◽  
Reliability Theory ◽  
Human Potential ◽  
Effect Analysis ◽  
Operational Conditions ◽  
Operating Variable ◽  
Fmea Method

Abstract The article deals with the research of operational reliability of forest felling machines with the method FMEA (Failure Mode and Effect Analysis) and its implementation for observed machines in the organization. Forwarders 810D by John Deere were chosen for this research. The research was realized in real operational conditions. Application of the FMEA method allows flexibility in case of unexpected situations and optimization of human potential abilities. FMEA tool is a tool preventing outages operational reliability and preventive tool for ensuring the maintenance of facilities. This paper explores and verifies the operational reliability theory in practical real-world conditions, resulting in a reduction in operating (variable) costs, minimization of failures and readiness and increased performance of observed machines.

scholarly journals Parameters Assessment of the FMEA Method by Means of Fuzzy Logic

2018 ◽  
Vol 2 (Special edition 2) ◽  
pp. 123-132
Author(s):  
Jasminka Bonato ◽  
Martina Badurina ◽  
Julijan Dobrinić
Keyword(s):  
Fuzzy Logic ◽  
Failure Analysis ◽  
Failure Mode ◽  
Mathematical Function ◽  
Analysis Method ◽  
Effect Analysis ◽  
New Approach ◽  
System Failures ◽  
Numerical Indicator ◽  
Fmea Method

The paper aims at presenting the FMEA method based on the fuzzy technique, representing a new approach to the failure analysis and its effects on the observed system. The FMEA (Failure Mode and Effect Analysis) method has assigned the risks a coefficient i.e. a numerical indicator that very clearly defines the degree of risk. The risk is calculated as a mathematical function of RPN which depends on the effects S, probability O that some case will lead to a failure and to a probability that a failure D can not be detected before its effects are realized. RPN = S O D. The FMEA method, based on the fuzzy logic, makes a more reliable evaluation of the observed system failures possible.

Failure mode and effect analysis using interval type-2 fuzzy sets and fuzzy Petri nets

2019 ◽  
Vol 37 (1) ◽  
pp. 693-709 ◽  
Author(s):  
Xiao-Yang Li ◽  
Yun Xiong ◽  
Chun-Yan Duan ◽  
Hu-Chen Liu
Keyword(s):  
Petri Nets ◽  
Fuzzy Sets ◽  
Failure Mode ◽  
Effect Analysis ◽  
Fuzzy Petri Nets ◽  
Interval Type
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