Risk Analysis of Equipment Failure through Failure Mode and Effect Analysis and Fault Tree Analysis

2021 ◽  
Author(s):  
Anand S. Relkar
Keyword(s):  
Risk Analysis ◽  
Failure Mode ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Equipment Failure ◽  
Effect Analysis ◽  
Tree Analysis

scholarly journals ANALISIS RISIKO KECELAKAAN KERJA DENGAN METODE FAILURE MODE AND EFFECT ANALYSIS (FMEA) DAN FAULT TREE ANALYSIS (FTA) UNTUK MENURUNKAN TINGKAT RISIKO KECELAKAAN KERJA (PT. BERKAH MIRZA INSANI)

2020 ◽  
Vol 2 (1) ◽  
pp. 48
Author(s):  
Sofian Bastuti
Keyword(s):  
Natural Gas ◽  
Failure Mode ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Pressure Regulator ◽  
Compressed Natural Gas ◽  
Effect Analysis ◽  
Tree Analysis

PT. Berkah Mirza Insani yang bergerak dibidang pengolahan gas alam menjadi Compressed Natural Gas (CNG) dalam setiap pekerjaan nya selalu mengutamakan Keselamatan dan Kesehatan Kerja (K3) . Penelitian ini mengaplikasikan metode Failure Mode and Effect Analysis (FMEA) didapat RPN tertinggi atau di divisi produksi yang mencakup 8 pekerjaan adalah pada Proses dan langkah pensupplyan CNG ke costumer (operasional PRS) dengan nilai severity 5, occurence 3, detection 4 dan RPN 60. Sedangkan Fault Tree Analysis (FTA) didapat faktor penyebab tingkat risiko tertinggi yaitu Proses dan langkah pensupplyan CNG ke costumer (operasional PRS) saat unloading dan operasional CNG dengan potensi bahaya ledakan Pressure Regulator System (PRS).

scholarly journals Quality Improvement for A Shoe Laundry Using Integration Model of Service Blueprint, Failure Mode and Effect Analysis, and Fault Tree Analysis

2018 ◽  
Vol 218 ◽  
pp. 04006
Author(s):  
Natalia Hartono ◽  
Andry M Panjaitan ◽  
Abram Noel
Keyword(s):  
Service Quality ◽  
Failure Mode ◽  
Service Failure ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Integration Model ◽  
Effect Analysis ◽  
Tree Analysis ◽  
Before And After ◽  
Service Blueprint

Nowadays, shoes are not just a casual footwear. Certain shoes can tell the social class of a person. The increase of shoe prices and social status of wearing expensive shoes became a trigger for the development of shoe laundry services. There were a service quality problems in a shoe laundry in Tangerang, Indonesia. Several methods to improve service quality was studied and it is decided to propose a new model, which is integration model of Service Blueprint, Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). The research starts with identifying the problem with observation and interview, then build Service Blueprint. Based on the fail point that has been identified in Service Blueprint, the FMEA used to find which process is the most dominant cause of failure and the most urgent for improvement. The next step is using FTA to find the root cause of the failure of the dominant cause. After analyzing the FTA, the improvement was proposed and implemented. Service failure before and after implementation was compared to see the improvements. There are 6 suggestion and implemented. After the implementation, the error in each process was measured and it is found a decrease in error in each process.

scholarly journals Analisis Penyebab Kecacatan Produk Weight A Handle Menggunakan Metode Fault Tree Analysis dan Failure Mode and Effect Analysis sebagai Rancangan Perbaikan Produk

2019 ◽  
Vol 12 (2) ◽  
Author(s):  
Yanuar Alfianto
Keyword(s):  
Production Process ◽  
Failure Mode ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Surface Finishing ◽  
Effect Analysis ◽  
Cold Forming ◽  
Tree Analysis ◽  
Failure Tolerance ◽  
Forming Defects

<p align="center">PT. Garuda Metalindo, which is engaged in the manufacturing industry, is currently experiencing a product failure of 2.5% in the production process and this exceeds the failure tolerance set by the company, which amounts to 10 units of 1000 units per process function or about 1% in the production process. Failure tolerance that exceeds the limit so that improvements need to be made to reduce the number of product defects in each production process. This study uses Fault Tree Analysis (FTA) to identify the causes of product defects based on the current production process, the next stage using Failure Mode and Effect Analysis (FMEA) to identify potential failures, modes, potential effects of failure, causes of failure, detection modes, and determine the rating against severity, occurrence, and detection on the risk priority number in the production process. Based on the results of the assessment on the RPN, a cold forming process with a score of 576, surface finishing with a score of 512 was obtained, machining 1 with a score of 441, and machining 2 with a score of 392. Proposed improvements for cold forming defects by monitoring and making checking tools (jigs), defect surface finishing by supervising and making product shelves, machining defects 1 with product inspection and making tools for checking (jig), and replacement of drill bit types, machining defects 2 with lamp and insert replacement and periodic inspection. By applying these proposals it is expected to reduce the level of product disability.</p>

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 Kualitas Produk Labu Ukur Menggunakan Fault Tree Analysis (FTA) dan Failure Mode Effect Analysis (FMEA) di CV. X

2021 ◽  
Vol 1 (1) ◽  
pp. 36-42
Author(s):  
Krida Cipta N ◽  
Aviasti ◽  
Dewi Shofi Mulyati
Keyword(s):  
Failure Mode ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Total Production ◽  
Laboratory Equipment ◽  
Effect Analysis ◽  
Tree Analysis ◽  
Central Java ◽  
Product Defect

Abstract. Quality control is activities to be able to improve, maintain and improve the quality of the products produced. Because it controls the quality, it is very important to improve the quality of the products produced. Can improve the quality expected by all elements of the company can be obtained as expected. CV. X is a company established in the city of Bandung in 2003, Jakarta, Bogor and Central Java. The company is engaged in the production of various laboratory equipment such as erlenmayer, test tubes, drip pipettes, measuring flasks and measuring cups. The number of pumpkin production in 2016 was 2218, in 2017 as many as 2429 and in 2018 as many as 2871. Of the total production, the level of defect of pumpkin products measured an increase in 2016 of 3.5%, in 2017 amounted to 4.3% and in 2018 of 5.3%. The level of product defect exceeds the target or determined by the company for smoothness of 2%, it is necessary to improve the quality of product defects in the flask. Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA) can be used to analyze and provide solutions to improve the quality of defective products. Based on the processing and analysis of the data obtained on the type of defective form is not appropriate is the operator who is not careful with the value of RPN 120, the cause of screen printing defects that consider cleanliness, less careful, dirty work area, the user uses the operator to reverse the setting with the RPN value 144, causing damage back / broken ie operator settings change, less careful and less tidy work station with a value of RPN 240. Abstrak. Pengendalian kualitas merupakan aktivitas-aktivitas untuk dapat menjaga, mempertahankan dan dapat meningkatkan kualitas dari produk yang dihasilkan. Oleh karena hal tersebut pengendalian kualitas memiliki peranan sangat penting dalam terciptanya produk yang berkualitas. Sehingga tujuan yang diharapkan oleh seluruh elemen perusahaan dapat tercapai. CV. X merupakan perusahaan yang didirikan di Kota Bandung pada tahun 2003, berbasis usaha kecil menengah dengan pangsa pasar meliputi wilayah Bandung, Jakarta, Bogor dan Jawa Tengah. Perusahaan ini bergerak dalam produksi berbagai macam alat-alat laboratorium seperti erlenmayer, tabung reaksi, pipet tetes, labu ukur dan gelas ukur. Jumlah produksi labu ukur pada tahun 2016 adalah 2218, pada tahun 2017 sebanyak 2429 dan pada tahun 2018 sebanyak 2871 . Dari jumlah produksi tersebut, tingkat kecacatan produk labu ukur mengalami peningkatan yaitu pada tahun 2016 sebesar 3.5%, tahun 2017 sebesar 4,3% dan tahun 2018 sebesar 5,3%. Tingkat kecacatan produk sudah melewati ambang batas dari yang diharapkan perusahaan sebesar 2 % sehingga diperlukan upaya unuk mengatasi masalah kecacatan produk pada labu ukur . Fault Tree Analysis (FTA) dan Failure Mode and Effect Analysis (FMEA) dapat digunakan untuk menganalisis dan memberikan solusi terhadap perbaikan kualitas produk cacat. Hasil dari data yang telah diolah dan dianalisa, faktor penyebab kecacatan bentuk tidak sesuai yaitu operator kurang hati-hati dengan nilai RPN 120, penyebab cacat sablon yaitu perhatian terhadap kebersihan kurang, kurang hati-hati, stasiun kerja kotor, intensitas penggunaan alat tinggi, kurangnya pengawasan dan operator mengabaikan setting dengan nilai RPN 144, penyebab cacat retak/pecah yaitu operator mengabaikan aturan setting, kurang hati-hati dan stasiun kerja kurang rapi dengan nilai RPN 240.

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