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 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 Analisa Kinerja Mesin Roughing Stand dengan Menggunakan Metode Overall Equipment Effectiveness (OEE) dan Failure Mode Effect Analysis (FMEA)

2017 ◽  
Vol 3 (2) ◽  
pp. 55
Author(s):  
Hasrul Hasrul ◽  
M. Jihan Shofa ◽  
Heru Winarno
Keyword(s):  
Production Process ◽  
Failure Mode ◽  
Historical Data ◽  
Product Formation ◽  
Risk Priority Number ◽  
Steel Product ◽  
Effect Analysis ◽  
Mode Effect ◽  
Potential Failure ◽  
Failure Mode Effect Analysis

The roughing stand machine functions for steel/product formation and the roll has five stands, and from each position has a different turn. In the production process, this machine also experiences obstacles that hinder the process [of production]. This study aims to determine the value of Overall Equipment Effectiveness (OEE) and analysis of the causes of OEE values have not been maximized based on the review of Failure Mode and Effect Analysis (FMEA). The data used are historical data of roughing stand machines during July 2016-December 2016. Based on the data processing performed, the results of the Overall Equipment Effectiveness (OEE) obtained on the Roughing Stand machine purchased at 57.5. The potential failure priority is base on the order of Risk Priority Number (RPN), the screw up non-working item has the most considerable RPN value (56). Regular lubrication is one way to maximize screw up performance..

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.

scholarly journals Analisis Kualitas Produk Minuman Guna Meningkatkan Performansi Jumlah Produksi Dengan Metode Fmea (Failure Mode And Effects Analysis)

2018 ◽  
Vol 1 (2) ◽  
pp. 153-159
Author(s):  
Listiani Nurul Huda
Keyword(s):  
Production Process ◽  
Failure Mode ◽  
Total Production ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Dominant Type ◽  
Risk Of Failure ◽  
Sterilization Process ◽  
Fmea Method ◽  
And Control

Permasalahan produk cacat menjadi hal yang sangat penting untuk segera diatasi karena dapat menimbulkan kerugian. Produk yang cacat adalah sumber utama pemborosan salah satu penyebabnya akibat proses produksi yang dijalankan tidak sesuai prosedur operasi seperti yang diamati pada salah satu perusahaan penghasil botol minuman sirup. Pada proses sterilisasi botol sering terjadi produk cacat seperti keretakan, sompel bagian atas botol, pecah bagian bawah dan pecah keseluruhan bagian botol. Nilai kecacatan botol dapat mencapai sekitar 10% dari jumlah produksi sehingga mengakibatkan jumlah produksi perusahaan menjadi menurun. Penelitian ini dilakukan untuk mengetahui faktor-faktor apa yang mengakibatkan sering terjadi kecacatan botol. Proses identifikasi potensial kecacatan dilakukan dengan metode Failure Mode and Effect Analysis (FMEA) yang akan menentukan Nilai Resiko Prioritas (RPN) yang merupakan perkalian antara nilai keparahan (severity), kejadian (occurence), dan deteksi (detection). Dari hasil pengamatan diperoleh jenis kecacatan paling dominan pada proses sterilisasi botol adalah retak botol, faktor penyebab kerusakan botol yang disebabkan oleh operator yang kurang konsentrasi dan resiko kegagalan/kecacatan faktor penyebab kecacatan terbesar dalam nilai RPN (Risk Priority Number) sebesar 245. Hal ini mengindikasikan bahwa harus dilakukan penanganan untuk memperkecil kemungkinan terjadinya kecacatan dan dampaknya serta pengendalian deteksinya khusus bagi operator sterilisasi botol. Bentuk penanganan ditentukan oleh kepala tim atau oleh manajemen antara lain melalui inspeksi ketat terhadap pekerja. Defective product problems are very important matters to overcome immediately because they could cause losses. Defective products are the main source of waste; one of the causes was the production process that was not carried out in accordance with operating procedures as observed in one of the companies producing bottles of syrup. In the bottle sterilization process, there were often defective products with cracks, broken parts in the top or bottom or the entire parts of the bottle. The value of bottle defects could reach around 10% of the total production, resulting in a decrease in the company's production. This research was conducted to determine what factors resulted frequent bottle defects. The process of identifying potential disabilities was done by the Failure Mode and Effect Analysis (FMEA) method determining the Priority Risk Value (RPN) which was a multiplication of severity, occurrence, and detection. From the results of the observations, it was obtained that the most dominant type of disability in the bottle sterilization process was bottle cracking due to the lack of concentration of the operators. The risk of failure/disability was the biggest cause of disability in the RPN (Risk Priority Number) value of 245. This indicated that handling must be done to minimize the possibility of disability and its impact and control the detection specifically for bottle sterilization operators. Forms of handling were determined by the head of the team or by management through strict inspections of workers. 

scholarly journals Risk analysis of production process for food SMEs using FMEA method: a case study

2021 ◽  
Vol 331 ◽  
pp. 02010
Author(s):  
Prima Fithri ◽  
Muhammad Rafi ◽  
Pawenary ◽  
A. S. Prabuwono
Keyword(s):  
Human Resources ◽  
Production Process ◽  
Critical Value ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Increase Productivity ◽  
Fmea Method ◽  
Bread Production ◽  
A Company

The increasing development of the industry makes every industry have to compete with other competitors to gain an edge. The advantages of competition are influenced by several factors, one of which is good human resource management. Where if a company has good human resources, it will increase profits indirectly and can increase productivity. This research discusses case studies about the potential dangers of IKM Heppy Bakery’s potential dangers that can harm workers in bread production. The method used is Failure Mode And Effect Analysis (FMEA). Later, the data will be filled and given a rating distinguished into three parts: severity, occurrence, and detection. The data were obtained through questionnaires given to 3 workers at IKM Heppy Bakery and filled in rating values based on the provisions that have been given to the questionnaire. This Value helps determine the Risk Priority Number (RPN) obtained from multiplication between severity, occurrence, and detection. After processing the RPN multiplication data, the highest RPN value was obtained by 193 with the danger factor of the operator overheating and dehydrating due to high temperatures. Furthermore, the calculation of critical Value was obtained by 109. Based on the critical Value obtained seven hazard factors above the critical value, these seven hazard factors need to be improved so that workers do not avoid accidents when conducting the production process.

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.

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