scholarly journals Pengembangan Sistem Inspeksi Digital Berbasis Macro VBA Excel Dengan Metode Failure Mode And Effects Analysis (FMEA) (Studi Kasus di PT. Meidoh Indonesia)

2021 ◽  
Vol 7 (1) ◽  
pp. 7
Author(s):  
Haudhi Alfi Yasin ◽  
Rianita Puspa Sari
Keyword(s):  
Failure Mode ◽  
Risk Priority Number

Proses pemeriksaan akhir pada perusahaan manufakur merupakan aktivitas pemeriksaan yang dilakukan sebelum produk akan dikirim ke customer. Perkembangan komputerisasi dalam perusahaan merupakan kebutuhan pada saat ini untuk menjalankan aktivitas dalam perusahaan salah satunya perancangan dan pengembangan sistem inspeksi digital. Failure Mode and Effects Analysis (FMEA) merupakan salah satu metode yang dapat dilakukan dalam perbaikan kinerja suatu bisnis dan komponen di dalamnya. FMEA dapat melakukan analisis kesalahan yang akan terjadi pada suatu aktivitas pekerjaan dengan melakukan rating severity, occurrence dan detection untuk menghasilkan nilai Risk Priority Number (RPN). Sehingga, dapat diusulkan perbaikan dari tiap proses untuk mengurangi nilai RPN. Penelitian ini bertujuan untuk menganalisa kesalahan yang mungkin terjadi pada tiap proses pemeriksaan akhir dan usulan perbaikannya dengan menggunakan metode FMEA. Kemudian, dilakukan perancangan sistem inspeksi digital dengan menggunakan Macro VBA Excel. hasil penelitian dengan analisis FMEA ini didapatkan nilai RPN awal pada pekerjaan inspeksi akhir adalah 1019, dengan rekomendasi perbaikan nilai RPN berkurang menjadi 542. ini berarti berkurangnya tingkat kesalahan setelah dilakukan perancangan sistem inspeksi dengan aplikasi Macro VBA Excel. Selain nilai RPN yang berkurang, aplikasi ini juga dapat menghemat waktu pekerjaan dan mengurangi pemakaian kertas di perusahaan. Kata Kunci:  pemeriksaan akhir, sistem inspeksi, Failure Mode and Effects Analysis (FMEA), Macro VBA Excel

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.

scholarly journals Automotive leaf spring design and manufacturing process improvement using failure mode and effects analysis (FMEA)

2020 ◽  
Vol 12 ◽  
pp. 184797902094243
Author(s):  
Tauseef Aized ◽  
Muhammad Ahmad ◽  
Muhammad Haris Jamal ◽  
Asif Mahmood ◽  
Syed Ubaid ur Rehman ◽  
...  
Keyword(s):  
Failure Mode ◽  
Process Improvement ◽  
Manufacturing Process ◽  
Structural Member ◽  
Leaf Spring ◽  
Risk Priority Number ◽  
Human Safety ◽  
Leaf Springs ◽  
Design And Manufacturing ◽  
Quality And Reliability

Nowadays human safety and comfort are the most considerable parameters in designing and manufacturing of a vehicle, that is why every organization ensures the quality and reliability of components used in the vehicle. Leaf spring is also a component of vehicle which plays an important role in human safety and comfort. It acts as a structural member and an integral part of suspension system. It is important to eliminate the failures in designing and manufacturing process of leaf springs because of its importance in functionality and safety of vehicle. In this research, failure mode and effects analysis has been used to analyze and reduce the risks of 42 possible failures that can occur in automotive leaf spring. It starts from determining, classifying, and analyzing all potential failures and then rating them with the help numeric scores. The four numeric scores namely severity, occurrence, detection, and Risk Priority Number (RPN) are used to find the high potential failures of semi-elliptical leaf springs. In the end, actions are recommended for RPN greater than 250, to increase quality and reliably of product.

scholarly journals Deng Entropy Weighted Risk Priority Number Model for Failure Mode and Effects Analysis

Entropy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 280 ◽  
Author(s):  
Haixia Zheng ◽  
Yongchuan Tang
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Failure Mode ◽  
Evidence Theory ◽  
Relative Weight ◽  
Relative Importance ◽  
Risk Priority Number ◽  
Domain Experts ◽  
Entropy Weighted ◽  
Deng Entropy

Failure mode and effects analysis (FMEA), as a commonly used risk management method, has been extensively applied to the engineering domain. A vital parameter in FMEA is the risk priority number (RPN), which is the product of occurrence (O), severity (S), and detection (D) of a failure mode. To deal with the uncertainty in the assessments given by domain experts, a novel Deng entropy weighted risk priority number (DEWRPN) for FMEA is proposed in the framework of Dempster–Shafer evidence theory (DST). DEWRPN takes into consideration the relative importance in both risk factors and FMEA experts. The uncertain degree of objective assessments coming from experts are measured by the Deng entropy. An expert’s weight is comprised of the three risk factors’ weights obtained independently from expert’s assessments. In DEWRPN, the strategy of assigning weight for each expert is flexible and compatible to the real decision-making situation. The entropy-based relative weight symbolizes the relative importance. In detail, the higher the uncertain degree of a risk factor from an expert is, the lower the weight of the corresponding risk factor will be and vice versa. We utilize Deng entropy to construct the exponential weight of each risk factor as well as an expert’s relative importance on an FMEA item in a state-of-the-art way. A case study is adopted to verify the practicability and effectiveness of the proposed model.

EXAMPLE FOR MOBILE ECG HOLTER DESIGN USING FMEA MODEL

2009 ◽  
Vol 21 (01) ◽  
pp. 61-70 ◽  
Author(s):  
I-Chi Chou ◽  
Hsu-Chin Hsueh ◽  
Ren-Guey Lee
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
Portable Device ◽  
Experimental Results ◽  
The Other ◽  
Protection System ◽  
Alarm System ◽  
Risk Priority Number ◽  
Assessment Technique ◽  
Risk Of Injury

This paper describes an approach for evaluating the risk of components used in the Holter. Holter is a portable device for recording patients' electrocardiogram in medicine. Holter might hurt users as a result of a bad design, and might record incorrectly when malfunction happens. To prevent risk of injury, we analyze the potential failures of the Holter based on the Failure Mode and Effects Analysis, which is a risk assessment technique. Then, we calculate the Risk Priority Number (RPN) of each failure. According to the RPN, we give two strategies for reducing the risk. One is protection, and the other is alarm. The protection system is used to prevent hazards of the Holter from incorrect operations by the user, and the alarm system is used to detect the malfunction of the Holter. The experimental results show that the safety of the Holter is improved with these two circuits.

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).

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