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.

Evaluating the Risk of Failure on Injection Pump Using Fuzzy FMEA Method

2014 ◽  
Vol 657 ◽  
pp. 976-980 ◽  
Author(s):  
Nicoleta Rachieru ◽  
Nadia Belu ◽  
Daniel Constantin Anghel
Keyword(s):  
Failure Mode ◽  
Traditional Method ◽  
Assessment Model ◽  
Risk Level ◽  
Analysis Method ◽  
Effect Analysis ◽  
Pump Design ◽  
Injection Pump ◽  
Fuzzy Fmea ◽  
Fmea Method

This research is aimed at utilizing failure mode and effect analysis (FMEA) which is a reliability analysis method applicable to rotary injection pump design. In traditional FMEA, Risk Priority Number (RPN) ranking system is used to evaluate, the risk level of failures to rank failures and to prioritize actions. RPN is obtained by multiplying the scores of three risk factors like the Severity (S), Occurrence (O) and Detection (D) of each failure mode. RPN method can not emphasise the nature of the problem, which is multi-attributable and has a group of experts' opinions. Furthermore, attributes are subjective and have different importance levels. In this paper, a framework is proposed to overcome the shortcomings of the traditional method through the fuzzy set theory. Two case studies have been shown to demonstrate the methodology thus developed. It is illustrated a parallel between the results obtained by the traditional method and fuzzy logic for determining the RPNs. We expect that fuzzy FMEA model will assist FMEA team in assess and rank risks more precisely compared with risk assessment model of method.

scholarly journals Opportunities for the applications of FMEA Model in logistics processes in Bulgarian enterprises

2017 ◽  
Vol 8 (1) ◽  
pp. 31-41
Author(s):  
Maria Vodenicharova
Keyword(s):  
Decision Making ◽  
Failure Mode ◽  
Iso 9001 ◽  
Analysis Method ◽  
Effect Analysis ◽  
Manufacturing Plants ◽  
Methods Of Analysis ◽  
Fmea Method

Abstract The article explores the use of FMEA method in the logistics processes in manufacturing plants in Bulgaria. The surveyed enterprises have a system ISO 9001 and apply different methods of analysis and assessment of logistics processes. The purpose of this study is to present a model for improving the reliability of logistics processes through the FMEA (Failure Mode and Effect Analysis) method. An inquiry among 14 organizations in the implementation of FMEA was conducted. The results show that FMEA is not used for assessment in logistics processes and provides useful insights for decision-making to improve the reliability of supply. A framework based on the survey is presented for determining the reliability of logistics processes in manufacturing plants. The study demonstrates the applicability of the method in logistics processes and the role FMEA can play in assessing logistics processes.

Analisa Kegagalan pada Sistem Rem Daihatsu Taft Hiline dengan Menggunakan Metode FMEA (Failure Mode and Effect Analysis)

2018 ◽  
Vol 1 (2) ◽  
pp. 181-190
Author(s):  
Muhammad Sabri ◽  
Muhammad Ramadhansyah Putra
Keyword(s):  
Failure Mode ◽  
Brake System ◽  
Analysis Method ◽  
Effect Analysis ◽  
Driving System ◽  
Braking System ◽  
Road Users ◽  
System Components ◽  
Fmea Method ◽  
Causes Of Failure

Sistem rem merupakan komponen penting dalam setiap kendaraan otomotif yang merupakan sebuah sistem keamanan dalam berkendara bertujuan untuk mengurangi dan menghentikan laju kendaraan dengan cara mengatur laju kendaraan sehingga kendaraan dapat dikemudikan dengan aman. Kegagalan dalam sistem rem memiliki dampak yang sangat fatal bagi pengendara maupun pengguna jalan lain. Oleh Metode yang digunakan menggunakan proses FMEA (Failure Mode and Effect Analysis) untuk menentukan penyebab kegagalan yang terjadi. Tujuan dari penelitian ini untuk menganalisa dan mengidentifikasi kegagalan pada sistem rem.Hasil analisa menggunakan metode FMEA didapat penyebab kegagalan terhadap kegagalan pada komponen sistem rem. Dengan diketahuinya penyebab kegagalan maka dapat dilakukan analisa penilaian terhadap komponen pada sistem rem. Kesimpulan dari penelitian ini adalah kegagalan utama yang terjadi pada sistem rem dapat diakibatkan oleh kondisi fluida rem yang buruk sehingga mempengaruhi kinerja dari tiap – tiap komponen rem. The brake system is an important component in every automotive vehicles. It is a safety driving system aimed to reduce and stop the vehicle by controlling the speed so that the vehicle could be driven safely. Failure in the brake system has a very fatal impact to motorists and other road users. FMEA (Failure Mode and Effect Analysis) Method was using to determine the causes of the failure. The purpose of this study is to analyze and identify failures in braking system. The analysis which was using the FMEA method found the causes of failure of the brake system components. By identifying the causes of failure, the components of the brake system can be analyzed. The conclusion of this study is that the main failure occured in brake system could be caused by poor brake fluid that affects the performance of each brake component.

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.

scholarly journals Pendekatan Fuzzy FMEA dalam Analisis Faktor Risiko Kecelakaan Kerja

2017 ◽  
Vol 6 (1) ◽  
pp. 29
Author(s):  
Ronald Sukwadi ◽  
Frederikus Wenehenubun ◽  
Tarsina Wati Wenehenubun
Keyword(s):  
Risk Factors ◽  
Fuzzy Logic ◽  
Risk Factor ◽  
Failure Mode ◽  
Failure Modes ◽  
Effect Analysis ◽  
Fuzzy Fmea ◽  
Work Accident ◽  
Work Accidents ◽  
Fmea Method

<p><em>This </em><em>study</em><em> </em><em>aims to</em><em> </em><em>identify and </em><em>analyze </em><em>the </em><em>risk factors </em><em>of</em><em> work accidents</em><em>. </em><em>Failure Mode and Effect Analysis (FMEA) and Fuzzy Logic </em><em>approach are applied</em><em>. </em><em>The information obtained from the workers is expressed using fuzzy linguistics terms, and a FMEA method is proposed to determine the risk priority of failure modes. </em><em>The results </em><em>indicate</em><em> that </em><em>injuries caused when struck by an object are the highest</em><em> risk factor </em><em>of work accident (</em><em>FRPN </em><em>=</em><em> 886</em><em>). Some work improvements are suggested to reduce or eliminate the work risks.</em><em></em></p><p><em>Keywords</em><em>: Risk factor</em><em>s</em><em>, work accident, FMEA, Fuzzy </em></p>

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.

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.

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