scholarly journals Failure Mode and Effect Analysis (Fuzzy FMEA) Implementation for Forklift Risk Management in Manufacturing Company PT.XYZ

2019 ◽  
Vol 528 ◽  
pp. 012027 ◽  
Author(s):  
Muhammad Ragil Suryoputro ◽  
Khairizzahra ◽  
Amarria Dila Sari ◽  
Nawang Wahyu Widiatmaka
Keyword(s):  
Risk Management ◽  
Failure Mode ◽  
Effect Analysis ◽  
Fuzzy Fmea ◽  
Manufacturing Company

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.

Project risk management using fuzzy failure mode and effect analysis and fuzzy logic

2015 ◽  
Vol 20 (2) ◽  
pp. 207 ◽  
Author(s):  
Emad Roghanian ◽  
Nazanin Moradinasab ◽  
Elham Nabipoor Afruzi ◽  
Rahman Soofifard
Keyword(s):  
Risk Management ◽  
Fuzzy Logic ◽  
Failure Mode ◽  
Project Risk Management ◽  
Project Risk ◽  
Effect Analysis

scholarly journals PENGUJIAN SUHU LEMARI ES DENGAN METODE TERINTEGRASI FUZZYFAILURE MODE AND EFFECT ANALYSIS (FUZZY-FMEA)

2018 ◽  
Vol 18 (1) ◽  
pp. 9
Author(s):  
Tri Widianti ◽  
Himma Firdaus
Keyword(s):  
Failure Mode ◽  
Power Source ◽  
Effect Analysis ◽  
Fuzzy Fmea

Failure Mode and Effect Analysis (FMEA) banyak diimplementasikan untuk analisis risiko baik di bidang manufaktur maupun jasa. Permasalahan yang sering timbul pada implementasi FMEA yaitu sulitnya menentukan peringkat risiko karena kesamaan nilai RPN. Samanya nilai RPN menimbulkan kesulitan bagi pengambil keputusan untuk memprioritisasi risiko yang harus ditindaklanjuti. Logika fuzzy merupakan logika matematis yang dapat digunakan untuk memperbaiki kelemahan FMEA. Sehingga, tujuan penelitian ini adalah integrasi FMEA dengan logika fuzzy sebagai upaya perbaikan terhadap metode FMEA. Tujuan lainnya adalah implementasi  integrasi Fuzzy-FMEA pada lingkup pengujian suhu lemari es. Implementasi Fuzzy-FMEA pada pengujian ini dilakukan sebagai tindakan pencegahan terhadap risiko kegagalan pada pengujian yang dipersyaratkan oleh SNI ISO/IEC 17025:2008. Studi kasus pengujian suhu pada lemari es ini dipilih karena lemari es merupakan salah satu produk yang diwajibkan untuk memperoleh Sertifikat Produk Penggunaan Tanda SNI (SPPT-SNI) yang mengacu pada standar SNI IEC 60335-2-7:2009. Selain itu, penerapan Fuzzy-FMEA pada konteks pengujian sampai saat ini belum ditemukan. Hasil analisis dengan Fuzzy-FMEA menunjukkan bahwa risiko kegagalan paling tinggi pada proses pengujian suhu lemari es paling tinggi terjadi pada mode kegagalan: power source tibatiba shut down dengan nilai RPN 5,8887.

scholarly journals Analisis Risiko Produksi Daging Sapi di Rumah Potong Hewan Menggunakan Metode Fuzzy FMEA (Studi Kasus di RPH X)

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Sucipto Sucipto ◽  
Dimas Reditya Laksmana Putra ◽  
Mas'ud Effendi
Keyword(s):  
Failure Mode ◽  
Effect Analysis ◽  
Operational Procedure ◽  
Fuzzy Fmea ◽  
Reward And Punishment

Penyembelihan penting dikontrol untuk memproduksi daging sapi yang halal, aman, dan berkualitas. Risiko produksi daging sapi perlu diidentifikasi dan diantisipasi. Penelitian ini bertujuan mengidentifikasi risiko dan memberi usul perbaikan untuk pencegahan dini. Risiko diananlisis menggunakan metode Fuzzy Failure Mode and Effect Analysis (F-FMEA) dengan pembobotan tiap faktor dan kompetensi setiap pakar. Setiap risiko dibuat prioritas dengan Fuzzy Risk Priority Numbers (F-RPN). Hasil penelitian menunjukkan dari 10 risiko terdapat 3 risiko dengan nilai F-RPN tertinggi yaitu pekerja tidak taat aturan, pekerja kurang terampil, dan kondisi fisik daging buruk. Risiko tersebut diberi usul perbaikan berupa penyuluhan dan pelatihan berkala mengenai kehalalan, higienitas, dan mutu daging sapi pada pekerja, pembenahan fasilitas, dan pemberian poster standard operational procedure (SOP) di setiap ruang proses produksi. Selain itu, reward and punishment yang jelas dan tegas penting diterapkan.

Risk and DoE-Based Analytical Failure Mode Effect Analysis (AFMEA) to Simultaneous Estimation of Montelukast Sodium and Bilastine by HPTLC Method Using Enhanced AQbD Approach

2021 ◽  
Author(s):  
Pintu Prajapati ◽  
Jayesh Tamboli ◽  
Ashish Mishra
Keyword(s):  
Risk Management ◽  
Failure Mode ◽  
Failure Modes ◽  
Simultaneous Estimation ◽  
Effect Analysis ◽  
Quality Risk Management ◽  
Montelukast Sodium ◽  
Mode Effect ◽  
Quality Risk ◽  
Failure Mode Effect Analysis

Abstract The fixed-dose combination (FDC) of montelukast sodium (MLS) and bilastine (BIL) is used for monotherapy in the patient with seasonal allergic rhinoconjuctivitis and asthma. According to the upcoming ICH (International Council for Harmonization) Q14 guideline, the development of the analytical method by the implementation of the Analytical Quality by Design (AQbD) approach based on principles of Quality Risk Management (QRM) and design of experiments (DoE) would be a regulatory requirement for the registration of new drug substance and product in ICH countries. Hence, a robust high-performance thin layer chromatography method has been developed, which was not previously reported for simultaneous estimation of MLS and BIL using risk and DoE-based enhanced AQbD approach. The analytical failure mode effect analysis (AFMEA) was started with the identification of potential analytical failure modes followed by their effect analysis by RPN ranking and filtering method. The DoE-based AFMEA was applied for optimization of high-risk analytical failure modes by central composite design using Design-Expert software. The method operable design ranges and control strategy was set for quality risk management throughout the lifecycle of the developed method. The developed method was validated as per ICH Q2 (R1) guideline. The method was applied for the assay of FDC, and results were found in compliance with the labeled claim.

Risk Priority Analysis for Engine Based on Fuzzy Weighted Geometric Mean

2012 ◽  
Vol 463-464 ◽  
pp. 1160-1164 ◽  
Author(s):  
Ying Kui Gu ◽  
Xin Chong Luo ◽  
Shun Yun Tang
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Geometric Mean ◽  
Computational Process ◽  
Occurrence Probability ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Fuzzy Fmea ◽  
Alpha Level ◽  
Theory Failure

Fuzzy risk priority numbers (FRPNs) were proposed for assessment of the probabilistic risk by synthetically using fuzzy set theory, failure mode and effect analysis. The priority rank of failure modes is evaluated by fuzzy risk priority number in the fuzzy failure mode and effect analysis, where occurrence probability ranking, effect severity ranking and detection difficulty ranking are all fuzzy weighted geometric mean, and the FRPN can be computed using alpha-level set and optimization model. An engine example was provided to illustrate the proposed fuzzy FMEA and the detailed computational process of the FRPNs.

Sign in / Sign up

Export Citation Format

Share Document