Reliability Analysis of Automotive Magnetorheological Brake: A Qualitative Approach

2014 ◽  
Author(s):  
Satyajit R. Patil ◽  
Suresh M. Sawant
Keyword(s):  
Fault Tree Analysis ◽  
Qualitative Approach ◽  
Reliability Estimation ◽  
Brake System ◽  
Experimental Investigations ◽  
Response Delay ◽  
Effect Analysis ◽  
Failure Data ◽  
Mode Effect ◽  
Failure Mode Effect Analysis

Magnetorheological (MR) brake technology, owing to its reduced response delay, has generated interest for its potential as substitute to conventional hydraulic brakes in a road vehicle. Recently, few investigations have been carried out to assess its application for a mid size car. Finite element studies and experimental investigations have been carried out by researchers. However, reliability aspect of these brakes doesn’t seem to have been explored as yet. This paper makes an attempt to present findings of the qualitative reliability studies on MR brake system for vehicular application. Results of Failure Mode Effect Analysis (FMEA) and Fault Tree Analysis (FTA) have been presented and discussed subsequently. Findings of this analysis, it is believed, shall complement the design process and make it fool proof. It also provides basis for further quantitative reliability estimation, in case of availability of failure data of MR brake system components.

scholarly journals Analisis Pengendalian Mutu pada Proses Produksi Pembuatan Kecap Menggunakan Metode Fault Tree Analysis (FTA) dan Metode Failure Mode Efect Analysis (FMEA)

2020 ◽  
Vol 1 (1) ◽  
pp. 31-44
Author(s):  
Iskandar Zulkarnaen ◽  
Daonil ◽  
Akbar Supriadi
Keyword(s):  
Failure Mode ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Soy Sauce ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Tree Analysis ◽  
Mode Effect ◽  
Fmea Method ◽  
Failure Mode Effect Analysis

ABSTRACT Analysis of Quality Control in the Production Process of Making Soy Sauce Using the Fault Tree Analysis (FTA) Method and the Failure Mode Effect Analysis (FMEA) Method. PT XYZ is an industrial company that produces soy sauce and soy sauce for instant noodle seasoning. In an effort to maintain product quality, the writer tries to analyze every problem of reject burn, reject divert, organoleptic reject, and contaminated reject that exceeds the company standard of 0.50% based on histogram data for May 2018 - April 2019, it is found that organoleptic reject is the highest failure and the main problem is discussed using the fault tree analysis (FTA) method to analyze the root cause of failure, and the failure mode effect analysis (FMEA) method for weighting the severity, occurance and detection values ​​in each of these three issues each problem is calculated to obtain a risk priority number (RPN) value ). From this data, it will be known that the root of the problem is the steam engine temperature value of 144 is the highest value of rpn, and the writer tries to give a proposal to improve the previous total reject 244,425 kg percentage 0.65% and after 69,284 kg percentage 0.36% with the cost before the total repair is Rp. 881,840,120 and after Rp.255,474,078 succeeded in reducing rejects below the standard while reducing costs for Rp.626,366,042. Keyword : Reject, Soy Sauce, FTA, FMEA ABSTRAK Analisis Pengendalian Mutu Pada Proses Produksi Pembuatan Kecap Menggunakan Metode Fault Tree Analysis (FTA) dan Metode Failure Mode Effect Analysis (FMEA). PT XYZ merupakan perusahaan industri yang menghasilkan produk kecap manis dan kecap asin untuk bumbu mie instant. Dalam upaya mempertahankan kualitas produk penulis berusaha untuk menganalisa setiap permasalahan reject gosong, reject divert, reject organoleptik, dan reject terkontaminasi yang melebihi standar perusahan 0,50% berdasarkan data histogram periode mei 2018 – april 2019 didapatkan reject organoleptik menjadi kegagalan tertinggi dan masalah utama yang dibahas dengan menggunakan metode fault tree analysis (FTA) untuk menganalisa akar penyebab kegagalan, dan metode failure mode effect analysis (FMEA) untuk pembobotan nilai severity, occurance dan detection di dalam ketiga hal tersebut setiap permasalah tersebut dihitung hingga mendapatkan nilai risk priority number (RPN). Dari data tersebut selanjutnya akan diketahui akar permasalahan tersebut adalah mesin steam suhu nilai 144 merupakan nilai rpn tertinggi, selanjutnta penulis mencoba memberikan usulan perbaikan sebelumnya total reject 244.425 kg persentase 0.65% dan sesudah 69.284 kg persentase 0.36% denga biaya sebelum perbaikan total Rp. 881.840.120 dan sesudah Rp.255.474.078 berhasil menurunkan reject dibawah standar sekaligus menurunkan biaya pengeluran sebesar Rp.626.366.042. Kata Kunci : Reject, Kecap, FTA, FMEA

scholarly journals Usulan Perbaikan untuk Pengurangan Waste Pada Proses Produksi dengan Metoda Lean Manufacturing

Jurnal PASTI ◽  
2019 ◽  
Vol 13 (2) ◽  
pp. 187
Author(s):  
Rini Fitriyani ◽  
Sahril Saifudin ◽  
Kesyah Margareta
Keyword(s):  
Failure Mode ◽  
Lean Manufacturing ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Plasma Welding ◽  
Effect Analysis ◽  
Tree Analysis ◽  
Mode Effect ◽  
Failure Mode Effect Analysis

Penelitian ini membahas tentang usulan perbaikan untuk pengurangan waste pada proses produksi dengan metoda lean manufacturing. Dalam penelitian ini dihasilkan waste yang paling dominan terdapat pada lini produksi saxophone dengan total skor 3 yaitu defect, dan unnecessary motion dan unnecessary transportation dengan masing – masing skor 2. Sedangkan faktor penyebab yang mempengaruhi pemborosan dapat diketahui dengan menggunakan fault tree analysis ( FTA ) dimana pada waste defect penyebab dasar terjadinya waste adalah hanya ada 2 operator buffing, human eror dan belum adanya jadwal penggantian kompon secara berkala. Sedangkan pada waste unnecessary motion penyebab waste adalah lot keranjang cuci hanya muat 5 pcs dan tidak ada meja untuk operator melakukan pemindahan material. Dan pada waste unnecessary transportation penyebab waste adalah human eror yaitu operator yang mengobrol dan lamanya waktu transportasi yang disebabkan oleh tata letak mesin yang berjauhan. Sedangkan hasil dengan menggunakan metode failure mode effect analysis ( FMEA ) dipilih 3 tindakan yang memiliki nilai RPN paling tinggi. Dimana usulan perbaikan yang terpilih adalah perubahan layout dengan mendekatkan proses plasma welding dengan seam roller, menambah kapasitas keranjang cuci sehingga dapat meminimasi terjadinya gerakan yang berulang pada transportasi, dan menjadwalkan penggantian kompon buffing secara berkala untuk meminimasi kompon yang mengelupas dan menemple pada part karena sudah usang.

scholarly journals Analisis Defect dengan Metode Fault Tree Analysis dan Failure Mode Effect Analysis

2019 ◽  
Vol 2 (2) ◽  
pp. 62-72
Author(s):  
Evan Nugraha ◽  
Rini Mulyani Sari
Keyword(s):  
Production Process ◽  
Failure Mode ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Analysis Method ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Tree Analysis ◽  
Mode Effect ◽  
Failure Mode Effect Analysis

There was a phenomenon that occurred in garment companies, namely the existence of defect products in the production process. In the sewing process, defects occurred with an average percentage of 6,67% in the first three months of early 2019. This 6,67% was a percentage of disability that exceeded the company percentage limit of 5%, thus disrupting the production process. The primary purposed of analyzing the factors of product defects was to find out the causes and solutions to the company. The Fault Tree Analysis method was used to find out the root caused of product defects. Three main problems caused product defects, namely 1) untidy stitches, 2) stitches that exceeded the specified size, and 3) straightened stitches. By using the Failure Mode Effect Analysis method, the three problems were caused by human error and the absence of a Standard Operating Procedure in the production process. As a solution to problems in the company, the Risk Priority Number value was used. From this study the result obtained 1 Risk Priority Number value is the proposed improvement.

Risk analysis of cutting system under intuitionistic fuzzy environment

2020 ◽  
Vol 1 (1) ◽  
pp. 162-173
Author(s):  
Dinesh Kumar Kushwaha ◽  
◽  
Dilbagh Panchal ◽  
Anish Sachdeva ◽  
◽  
...  
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
Thermal Power ◽  
Failure Detection ◽  
Engineering System ◽  
Effect Analysis ◽  
Intuitionistic Fuzzy ◽  
Mode Effect ◽  
Cutting System ◽  
Failure Mode Effect Analysis

Failure Mode Effect Analysis (FMEA) is popular and versatile approach applicable to risk assessment and safety improvement of a repairable engineering system. This method encompasses various fields such as manufacturing, healthcare, paper mill, thermal power industry, software industry, services, security etc. in terms of its application. In general, FMEA is based on Risk Priority Number (RPN) score which is found by product of probability of Occurrence (O), Severity of failure (S) and Failure Detection (D). As human judgement is approximate in nature, the accuracy of data obtained from FMEA members depend on degree of subjectivity. The subjective knowledge of members not only contains uncertainty but hesitation too which in turn, affect the results. Fuzzy FMEA considers uncertainty and vagueness of the data/ information obtained from experts. In order to take into account, the hesitation of experts and vague concept, in the present work we propose integrated framework based on Intuitionistic Fuzzy- Failure Mode Effect Analysis (IF-FMEA) and IF-Technique for Order Preference by Similarity to Ideal Solution (IF-TOPSIS) techniques to rank the listed failure causes. Failure cause Fibrizer (FR) was found to be the most critical failure cause with RPN score 0.500. IF-TOPSIS has been implemented within IF-FMEA to compare and verify ranking results obtained by both the IF based approaches. The proposed method was presented with its application for examining the risk assessment of cutting system in sugar mill industry situated in western Uttar Pradesh province of India. The result would be useful for the plant maintenance manager to fix the best maintenance schedule for improving availability of cutting system.

scholarly journals Application of Failure Mode Effect Analysis (FMEA) to Reduce Downtime in a Textile Share Company.

2018 ◽  
Vol 8 (1) ◽  
pp. 40-46 ◽  
Author(s):  
Tsehaye Dedimas Beyene ◽  
◽  
Sisay Geremew Gebeyehu ◽  
Azemeraw Tadesse Mengistu ◽  
◽  
...  
Keyword(s):  
Failure Mode ◽  
Effect Analysis ◽  
Mode Effect ◽  
Failure Mode Effect Analysis
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