МЕТОД ОЦІНКИ РИЗИКІВ У ВИРОБНИЧІЙ ЛАБОРАТОРІЇ МОЛОКОПЕРЕРОБНИХ ПІДПРИЄМСТВІ НА ОСНОВІ LEAN

2021 ◽  
pp. 35-39
Author(s):  
Ю.І. Сеник
Keyword(s):  
Failure Mode ◽  
Risk Priority Number ◽  
Effect Analysis

У роботі розглянуто застосування модифікованого до системи ощадливого виробництва методу оцінки ризиків FMEA для виробничих лабораторій молокопереробних підприємств. Описано алгоритм реалізації failure mode and effect analysis та вказано основні принципи розрахунку S (значимість потенційних збоїв у роботі), O (ймовірність виникнення збою у роботі), D (ймовірність виявлення збою) та RPN (risk priority number). Розглянуто два основні недоліки класичного підходу методики FMEA та для їх усунення використано модифікацію, запропоновану Rapinder Sawhney та ін., яка полягає у використанні інтегрального показника «значення оцінки ризиків». Для аналізу ризиків виробничої лабораторії згідно з модифікованою методикою FMEA вибрано окремий шаблон таблиці, представлений у тексті статті. Він містить як елементи FMEA, так і спосіб вирішення критичних показників згідно з принципами LEAN. Такий підхід до роботи лабораторії є вкрай важливим, адже саме від оперативності та точності проведених досліджень залежатиме можливість уникнення прямих утрат для підприємства та випуску безпечної та якісної продукції.

scholarly journals Identifying preventive maintenance guideline for a combine harvester with application of failure mode and effect analysis technique

2020 ◽  
Vol 319 ◽  
pp. 01004
Author(s):  
Voraya Wattanajitsiri ◽  
Rapee Kanchana ◽  
Surat Triwanapong ◽  
Kittipong Kimapong
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
Preventive Maintenance ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Analysis Technique ◽  
Combine Harvester ◽  
A Chain ◽  
Near Future

The objective of this research was to study a risk assessment of the rice combine harvester using FMEA technique implementation and suggested the procedures to maintain the parts of the rice combine harvester by analyzing the causes of risk assessment of FMEA. The FMEA was also applied to specify failure causes and effects that occurred in the rice harvester. The obtained data were calculated for a risk priority number (RPN) and then sorted to be a descending order. The high RPN part was analyzed for the causes and effects and then suggested a preventive maintenance in near future. The results revealed that the highest RPN of 576 was found when a chain surface was considered and also showed the maximum risk among the considered parts in the rice combine harvester. While, the lowest RPN of 144 was found when a rice sieve part was considered but this RPN was still higher than that of 100 RPN which was required to specify the preventive maintenance.

Development of Computerized Preventive Maintenance Management System with Failure Mode and Effect Analysis for CNC Machine

2014 ◽  
Vol 627 ◽  
pp. 365-371 ◽  
Author(s):  
Em Ardchaya Rungsa ◽  
Somkiat Tangjitsitcharoen
Keyword(s):  
Failure Mode ◽  
Preventive Maintenance ◽  
Management System ◽  
Maintenance Management ◽  
Risk Priority Number ◽  
Cnc Machine ◽  
Effect Analysis ◽  
Cnc Machines ◽  
Intelligent Maintenance ◽  
Maintenance Plan

In order to realize the intelligent maintenance management system, this paper presents a development of computerized preventive maintenance management system (CPMMS) to manage and record the maintenance information in the database for the CNC machines. The failure mode and effect analysis (FMEA) has been utilized to deal with the computerized preventive maintenance management system in this research. The FMEA is analyzed to determine the risk priority number (RPN) of the CNC machines in order to set the preventive maintenance plan as a standard maintenance. The developed program can generate the next schedule of the preventive maintenance plan automatically, which increases the efficiency and decreases the breakdown. It has been proved that the proposed and developed CPMMS with FMEA program can improve the overall equipment effectiveness (OEE). The RPN has been reduced due to a decrease in the severity and the occurrence.

scholarly journals Environmental risk assessment of low density polyethylene unit using the method of failure mode and effect analysis

2012 ◽  
Vol 18 (1) ◽  
pp. 103-113 ◽  
Author(s):  
Parinaz Salati ◽  
Seyed Jozi
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Environmental Parameters ◽  
Low Density Polyethylene ◽  
Low Density ◽  
Risk Priority Number ◽  
Environmental Aspects ◽  
Effect Analysis

The ninth olefin plan of Arya Sasol Petrochemical Company (A.S.P.C.) is regarded the largest gas Olefin Unit located on Pars Special Economic Energy Zone (P.S.E.E.Z). Considering the importance of the petrochemical unit, its environmental assessment seems necessary to identify and reduce potential hazards. For this purpose, after determining the scope of the study area, identification and measurement of the environmental parameters, environmental risk assessment of the unit was carried out using Environment Failure Mode and Effect Analysis (EFMEA). Using the noted method, sources causing environmental risks were identified, rated and prioritized. Beside, the impacts of the environmental aspects derived from the unit activities as well as their consequences were also analyzed. Furthermore, the identified impacts were prioritized based on Risk Priority Number (RPN) and severity level of the consequences imposed on the affected environment. After performing statistical calculations, it was found that the environmental aspects owing the risk priority number higher than 15 have a high level of risk. Results obtained from Low Density Polyethylene Unit revealed that the highest risk belongs to the emergency vent system with risk priority number equal to 48. It is occurred due to imperfect performance of the reactor safety system leading to the emissions of ethylene gas, particles, and radioactive steam as well as air and noise pollutions. Results derived from secondary assessment of the environmental aspects, through difference in calculated RPN and activities risk levels showed that employing modern methods and risk assessment are have remarkably reduced the severity of risk and consequently detracted the damages and losses incurred on the environment.

scholarly journals Implementation of Failure Mode and Effect Analysis and Fault Tree Analysis in Paper Mill: A Case Study

2020 ◽  
Vol 9 (3) ◽  
pp. 171-176
Author(s):  
Nurul Retno Nurwulan ◽  
Wilcha Anatasya Veronica
Keyword(s):  
Quality Control ◽  
Failure Mode ◽  
Fault Tree Analysis ◽  
Paper Mill ◽  
Control Methods ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Increase Productivity ◽  
Prevention Methods

A good quality control system is important to be implemented to increase productivity and minimize defects in products. One of the quality control methods is failure mode and effect analysis (FMEA). This study uses the FMEA to identify the causes of the defects and recommend the prevention methods to overcome the causes of the defects in an Indonesian paper mill. The risk priority number (RPN) is calculated by multiplying the severity, occurrence, and detection of the failures that have been determined. Unsymmetrical and tainted products are the most dominant defects in the paper mill. An inappropriate machine setting is the cause of unsymmetrical products with the highest RPN of 343. The second highest RPN is problems with bleaching machines that caused tainted products with an RPN value of 216. This study offers suggestions to Indonesian paper mill to prevent and minimize defective products. 

scholarly journals Usulan Pengendalian Kualitas Produksi Benang Carded dengan Metode Six Sigma

2018 ◽  
Vol 4 (1) ◽  
pp. 38
Author(s):  
Abdul Manan ◽  
Firdanis Setyaning Handika ◽  
Ahmad Nalhadi
Keyword(s):  
Production Process ◽  
Failure Mode ◽  
Six Sigma ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Sigma Level ◽  
Mode Effect ◽  
Target Set ◽  
Failure Mode Effect Analysis

A yarn company strives to produce good and quality products, but the production process that is carried out by each person will produce products targeted at a target that has been set at 5%. This study uses the Six Sigma method but only until the improvement stage. The research is to determine the DPMO value and sigma level in the spinning production process, to know what factors cause defects and new parameters to reduce the defect. Based on the results of the study that the DPMO on the type of CD thread in the spinning section is 17,130 and the sigma level is 3,6. The level of sigma that has dominated the Indonesian industry average, but has a defect of 8.7%, the target set at 5%. Damaged and dirty apron, clogged trumpet, and leaky hose are factors that plan defects. Furthermore, with Failure Mode Effect Analysis (FMEA), the highest value of Risk Priority Number (RPN) in tangled defects is that the apron is damaged (140) and clogged trumpet (120), while the highest RPN value is gross dirty, i.e., dirty apron (150) and hose leaking lubricant (120).

scholarly journals ANALISIS PERBAIKAN PROSES PRODUKSI PADA PT SUMBER TEKNIK SENTOSA

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Damar Suryo Bowo
Keyword(s):  
Production Process ◽  
Failure Mode ◽  
Time Function ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Cause And Effect ◽  
Function Mapping

This study aimed to analyze the production process of Dies Forging Piston Wheel Cylinder and to suggest the improvement for the production. The data were analyzed by Time-Function Mapping, Cause and Effect, and Failure Mode and Effect Analysis (FMEA). The findings showed that there were seven production phases of Dies Forging Piston Wheel Cylinder. After figuring out the troubled phase, the next step was searching for the cause and the solution of the problem using FMEA. The FMEA calculation indicated 4 problems i.e. the employees working on another product, vibrating clamp machines, employees producing jig, and unavailability of jig. The main problem was detected based on the highest score of Risk Priority Number (RPN) that calculation indicator was severity, occurrence, and detection. 

scholarly journals Manajemen Risiko Rantai Pasok Ikan Bandeng Kelompok Tani Tambak Bungkak dengan Integrasi Metode Analytic Network Process (ANP) dan Failure Mode and Effect Analysis (FMEA)

2020 ◽  
Vol 22 (2) ◽  
pp. 88-107
Author(s):  
Akhmad Wasiur Rizqi ◽  
Moh Jufriyanto
Keyword(s):  
Failure Mode ◽  
Analytic Network Process ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Analytical Network Process ◽  
Network Process

Ikan bandeng merupakan ikan yang memiliki kaya akan kandungan gizi. Ikan bandeng memiliki kandungan protein yang tinggi dan rendah lemak. Salah satu kelompok yang melakukan budidaya ikan bandeng yaitu kelompok tani tambak bungkak. Kelompok tani ini bergerak penyaluran distribusi pasokan ikan bandeng ke pedagang pengumpul dan industri pengolahan ikan.  Permasalahan yang terjadi pada kelompok tani tersebut yaitu pengelolaan masih tradisional, produktivitas rendah serta risiko rantai pasok seperti harga, lingkungan yang berpengaruh pada proses keberlanjutan bisnisnya. Penelitian ini bertujuan untuk mengidentifikasi risiko-risiko dan melakukan pengendalian risiko pada rantai pasok ikan bandeng. Metode yang digunakan adalah ANP (Analytical Network Process) dan FMEA (Failure Mode and Effect Analysis). Kedua metode tersebut dilakukan integrasi sehingga diperoleh nilai WRPN (weighted risk priority number) untuk prioritas risiko untuk dilakukan perbaikan. Hasil penelitian diperoleh bahwa prioritas tertinggi yaitu risiko produksi dengan nilai WRPN sebesar 186,26. Pengendalian risiko yang dilakukan yaitu edukasi luas lahan budidaya ikan bandeng dan pemberian pinjaman untuk memperluas lahan, pembuatan waduk untuk penampungan air untuk mempermudah pengairan, dan pemberian nutrisi tambahan untuk ikan dan mengatur kondisi air

scholarly journals Perencanaan Perawatan Mesin Welding Mig Pada Produksi Sub Frame Di PT. XYZ Dengan Metode Reliability Centered Maintenance (RCM)

2021 ◽  
Vol 6 (1) ◽  
pp. 26-38
Author(s):  
Zulkani Sinaga ◽  
Solihin Solihin ◽  
Mochamad Ardan
Keyword(s):  
Failure Mode ◽  
Time To Failure ◽  
Risk Priority Number ◽  
Mean Time To Failure ◽  
Effect Analysis ◽  
Mean Time Between Failure ◽  
Reliability Centered Maintenance ◽  
Mean Time To Repair ◽  
Mean Time

Pemeliharaan merupakan suatu proses yang dilakukan untuk menjaga keandalan, ketersediaan dan sifat mampu merawat komponen atau mesin. Program pemeliharaan yang efektif dan efisien akan mendukung peningkatan produktifitas sistem produksi. PT. XYZ merupakan perusahaan nasional bergerak dibidang karoseri truck mengalami penurunan produktivitas disebabkan belum adanya strategi perawatan khususnya mesin welding jenis MIG sehingga sering terjadi downtime mesin mengakibatkan proses produksi menjadi terhambat. Berdasarkan alasan tersebut dibutuhkan program pemeliharaan yang efektif dan efisien dengan menerapkan analisis menggunakan metode  Reliability Centered Maintenance (RCM) guna menciptakan metode pemeliharaan yang akurat, fokus, dan optimal dengan tujuan mencapai keandalan yang optimal. Penelitian dilakukan dengan mengikuti langkah-langkah perhitungan berdasarkan Failure Mode and Effect Analysis (FMEA) dan penetapan strategi pemeliharaan dengan dibantu menggunakan software minitab 18. Hasil penelitian diperoleh Risk Priority Number (RPN) untuk komponen wire feeder sebesar 611, dengan pola distribusi waktu normal, nilai parameter median 61,9391 dan standar deviasinya 48,6053, nilai Mean Time To Failure (MTTF) sebesar 61,9391 jam dan selang interval waktu penggantian komponen sebesar 10,1349. Berdasarkan hasil perhitungan performance maintenanace diketahui nilai Mean Time Between Failure (MTBF) antara 31,92 ~ 72,09 jam, Mean Time To Repair (MTTR) anatara 1,19 ~ 1,78 jam dan availability antara 94,67% ~ 98,24%, setelah dilakukan tindakan perawatan pencegahan selama periode tersebut dihasilkan nilai availability sebesar 98,01% artinya kerusakan pada komponen wire feeder dapat teratasi.

scholarly journals Preventive risk analysis in the maintenance of patency of the peripherally inserted central catheter

2019 ◽  
Vol 53 ◽  
Author(s):  
Antônio Fernandes Costa Lima ◽  
Amanda Saba ◽  
Simone Berger ◽  
Silvia Sauaia Bianchini ◽  
Fernando Tobal Berssaneti
Keyword(s):  
Risk Analysis ◽  
Failure Mode ◽  
Failure Modes ◽  
Saline Solution ◽  
Hospital Costs ◽  
Peripherally Inserted Central Catheter ◽  
Central Catheter ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Nursing Professional

ABSTRACT This theoretical and reflexive study analyzed the risks related to the maintenance of patency of the Peripherally Inserted Central Catheter with the use of saline solution in comparison with saline-filled syringes, through the application of the Healthcare Failure Mode and Effect Analysis - HFMEA. The process was mapped, detailing the failure modes of each step. For the calculation of the Risk Priority Number, the severity and probability of the failure modes were analyzed. This analysis gave rise to the severity and probability matrix. Finally, actions to reduce the failure modes in the maintenance of patency were proposed, considering the use of saline-filled syringes in comparison to the use of saline ampoules. It was verified that the use of saline ampoules is associated with a greater risk, since it requires four stages more than saline-filled syringe does not, increasing the risk of contamination and the level of three different risks, which would result in additional hospital costs. The use of the saline-filled syringe would avoid risks that could negatively affect the patient’s health, the nursing professional and the health institution.

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

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