scholarly journals A FMEA-based Approach to Identify Risk of Damage for Besuki Na-Oogst Tobacco Leaves

2021 ◽  
Vol 10 (2) ◽  
pp. 106-114
Author(s):  
Yuli Wibowo ◽  
Andrew S Rusdianto ◽  
Septy T Wahyuni
Keyword(s):  
Failure Mode ◽  
Risk Control ◽  
Critical Value ◽  
Leaf Damage ◽  
Risk Level ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Tobacco Leaves ◽  
White Spots

Besuki Na-Oogst tobacco is a type of plantation commodity that requires special handling. Improper post-harvest handling increases the risks of being damaged. This study aimed to identify the types of damage to Besuki Na‑Oogst tobacco leaves, analyze the risk level of damage to Besuki Na-Oogst tobacco leaves, and provide recommendations for risk control of tobacco leaves damage. The Failure Mode and Effect Analysis method was applied to Identify the Besuki Na-Oogst tobacco leaves risk damages. This method can determine the value of severity, occurrence, and detection to obtain a critical Risk Priority Number (RPN) that indicates the most critical level of risk. The results showed that the types of damage to Besuki Na-Oogst tobacco leaf classified as having a high-risk impact were perforated leaves, oily leaves, white spots, blue spots, and moldy leaves indicated by RPN values greater than the critical value. If these risks are not appropriately handled, it can decrease the quality of the tobacco leaves, resulting in losses. The risk control of leaf damage is based on risk-causing factors in suggestions for improvements that the management can follow up. Keywords: Besuki Na-Oogst tobacco leaves; critical value; FMEA; risk; RPN   ABSTRAK Tembakau Besuki Na-Oogst merupakan jenis komoditas perkebunan yang memerlukan penanganan khusus. Penanganan pasca panen yang tidak tepat menimbulkan risiko yang tidak diinginkan yaitu daun tembakau menjadi rusak. Penelitian ini bertujuan untuk mengidentifikasi jenis kerusakan daun tembakau Besuki Na-Oogst, menganalisis tingkat risiko kerusakan daun tembakau Besuki Na-Oogst, dan memberikan rekomendasi pengendalian risiko kerusakan daun tembakau. Identifikasi risiko kerusakan daun tembakau Besuki Na-Oogst menggunakan metode Failure Mode and Effect Analysis. Metode ini dapat digunakan untuk menentukan nilai keparahan, kejadian, dan deteksi untuk mendapatkan risk priority number kritis yang menunjukkan tingkat risiko paling kritis. Hasil penelitian menunjukkan bahwa jenis kerusakan pada daun tembakau Besuki Na-Oogst yang tergolong berisiko tinggi adalah daun berlubang, daun berminyak, bercak putih, bercak biru, dan daun berjamur yang ditunjukkan dengan nilai RPN lebih besar dari nilai kritis. Jika risiko tersebut tidak ditangani dengan baik, maka daun tembakau akan mengalami penurunan kualitas yang dapat mengakibatkan kerugian. Pengendalian risiko kerusakan daun tembakau didasarkan pada faktor penyebab risiko berupa saran perbaikan yang dapat ditindaklanjuti oleh pihak perusahaan. Kata kunci: Daun tembakau Besuki Na-Oogst; FMEA; nilai kritis; risiko; RPN

scholarly journals Analisis Penyebab Kegagalan Mesin Wrapping Menggunakan Failure Mode And Effect Analysis di PT. X

2021 ◽  
Vol 2 (1) ◽  
pp. 33
Author(s):  
Candrianto Candrianto ◽  
Rizaldi Sardani ◽  
Rizki Fadhillah Lubis ◽  
M. Zakaria
Keyword(s):  
Failure Mode ◽  
Black Tea ◽  
Risk Priority Number ◽  
Unstable Condition ◽  
Effect Analysis ◽  
Control Team ◽  
Cutting Knife ◽  
Fmea Method

PT. X is an industry that produces green tea and black tea. In this study, there are often problems with the wrapping machine due to the age of use and the tight schedule of usage in the wrapping machine. If the machine operates in an unstable condition, it will greatly affect the results of the production. Damaged components such as cutting blades, heating heaters, thermo control and bearings. By using the Failure Mode and Effect Analysis (FMEA) method and also calculating the Risk Priority Number (RPN) value, the highest RPN value to the lowest is obtained, namely Cutting Knife (RPN = 100), Heater (RPN = 90), Thermo Control (RPN = 72) and Bearings (RPN = 36). It can be seen that the cause of damage to the wrapping machine and also the highest RPN calculation is found in the damage to the cutting knife whose RPN value is 100. From the analysis of the damage to the cutting knife, the author provides a suggested repair plan for the company so that it can be implemented in the company which can later improve the quality of the machine to be operated. for the future which cannot be separated from the supervisory role of the operators in charge of their cooperation to improve quality and the quality control team that always monitors quality.

scholarly journals Failure Mode and Effect Analysis (FMEA) for confectionery manufacturing in developing countries: Turkish delight production as a case study

2012 ◽  
Vol 32 (3) ◽  
pp. 505-514 ◽  
Author(s):  
Sibel Ozilgen
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Chemical Contamination ◽  
Risk Priority Number ◽  
Analysis Model ◽  
Production Potential ◽  
Effect Analysis ◽  
Potential Failure

The Failure Mode and Effect Analysis (FMEA) was applied for risk assessment of confectionary manufacturing, in whichthe traditional methods and equipment were intensively used in the production. Potential failure modes and effects as well as their possible causes were identified in the process flow. Processing stages that involve intensive handling of food by workers had the highest risk priority numbers (RPN = 216 and 189), followed by chemical contamination risks in different stages of the process. The application of corrective actions substantially reduced the RPN (risk priority number) values. Therefore, the implementation of FMEA (The Failure Mode and Effect Analysis) model in confectionary manufacturing improved the safety and quality of the final products.

scholarly journals Analisis Efektivitas Mesin Produksi Menggunakan Pendekatan Failure and Mode Effect Analysis dan Logic Tree Analysis

2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Dhita Febriyanti ◽  
Erika Fatma
Keyword(s):  
Failure Mode ◽  
Analytical Methods ◽  
Critical Value ◽  
Manufacturing Plant ◽  
Risk Priority Number ◽  
Logic Tree ◽  
Effect Analysis ◽  
Tree Analysis ◽  
Mode Effect ◽  
Low Performance

This research uses the Overall Equipment Effectiveness (OEE) method to measure the blowing machine effectiveness at the plastic bottle manufacturing plant. This paper investigates losses that gave the biggest impact on machine effectiveness value. Afterwards analytical methods are used in this paper, using Failure Mode and Effect Analysis (FMEA) and Logic Tree Analysis (LTA). Both methods identify as many causes as the failure that can decrease machine effectiveness. OEE value was influenced by low-performance efficiency. Failure that most affect the effectiveness of the machine is shown by factors with the value of Risk Priority Number (RPN) above the critical value.

scholarly journals Analytical performance assessment and improvement by means of the Failure mode and effect analysis (FMEA)

2020 ◽  
Vol 30 (2) ◽  
pp. 250-256
Author(s):  
Leonor Guiñón ◽  
Anna Soler ◽  
Luisa Alvarez ◽  
Aurea Mira ◽  
Josep Lluís Bedini ◽  
...  
Keyword(s):  
Failure Mode ◽  
Measurement Errors ◽  
External Quality Assessment ◽  
Risk Mitigation ◽  
Analytical Performance ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Root Cause ◽  
Analytical Errors

Introduction: Laboratories minimize risks through quality control but analytical errors still occur. Risk management can improve the quality of processes and increase patient safety. This study aims to use the failure mode and effect analysis (FMEA) to assess the analytical performance and measure the effectiveness of the risk mitigation actions implemented. Materials and methods: The measurands to be included in the study were selected based on the measurement errors obtained by participating in an External Quality Assessment (EQA) Scheme. These EQA results were used to perform an FMEA of the year 2017, providing a risk priority number that was converted into a Sigma value (σFMEA). A root-cause analysis was done when σFMEA was lower than 3. Once the causes were determined, corrective measures were implemented. An FMEA of 2018 was carried out to verify the effectiveness of the actions taken. Results: The FMEA of 2017 showed that alkaline phosphatase (ALP) and sodium (Na) presented a σFMEA of less than 3. The FMEA of 2018 revealed that none of the measurands presented a σFMEA below 3 and that σFMEA for ALP and Na had increased. Conclusions: Failure mode and effect analysis is a useful tool to assess the analytical performance, solve problems and evaluate the effectiveness of the actions taken. Moreover, the proposed methodology allows to standardize the scoring of the scales, as well as the evaluation and prioritization of risks.

scholarly journals ANALISIS RISIKO KECELAKAAN KERJA PADA PROYEK PEMBANGUNAN DENGAN METODE FMEA DAN HAZOP

2022 ◽  
Vol 5 (1) ◽  
pp. 110-115
Author(s):  
Hanif Farhan Setya Rama ◽  
Adwitya Bhaskara
Keyword(s):  
Failure Mode ◽  
Hazard Analysis ◽  
Risk Level ◽  
Risk Priority Number ◽  
Effect Analysis

Risiko kecelakaan kerja pada proyek konstruksi merupakan risiko yang tinggi, namun terkadang faktor-faktor yang dapat mengurangi kecelakaan kerja masih kurang mendapatkan perhatian. Menurut Peraturan Menteri Pekerjaan Umum Nomor : 05/PRT/M/2014 pada Bab 1 Pasal 1 Sitem Manajemen Keselamatan dan Kesehatan Kerja Konstruksi adalah bagian dari sistem manajemen organisasi pelaksanaan pekerjaan konstruksi dalam rangka pengendalian risiko K3. Penelitian ini menjelaskan tentang perbandingan risiko kecelakaan pelaksanaan suatu proses pembangunan menggunakan dua metode yaitu metode FMEA (Failure Mode and Effect Analysis) dan HAZOP (Hazard Analysis and Operability Study), penerapan penelitian secara kuantitatif penelitian ini adalah dengan melakukan pengamatan langsung di proyek pembangunan lalu menganalisis risiko kecelakaan sesuai dengan data K3 (Keselamatan dan Kesehatan Kerja) dan sesuai dengan hasil pengamatan yang telah dilakukan di Proyek Pembangunan Pasar Johar Selatan, Semarang. Dari hasil analisis dengan metode FMEA diperoleh nilai RPN (Risk Priority Number) 15,39 terdapat pada, pekerjaan pembesian, yaitu pekerja yang tertusuk kawat. Risiko yang terjadi berdasarkan metode HAZOP memiliki Risk Level 7,18 terdapat pada pekerjaan pembesian. Tindakan mitigasi yang dilakukan sesuai dengan metode FMEA dan HAZOP yaitu dengan sering melakukan arahan kepada para pekerja untuk rajin menggunakan APD sesuai standar K3, memberikan penyuluhan tentang pentingnya APD, dan Penataan kepada para pekerja untuk keselamatan kerja.Kata Kunci: FMEA, HAZOP, Risiko Kecelakaan, K3

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.

Evaluating the Risk of Failure on Injection Pump Using Fuzzy FMEA Method

2014 ◽  
Vol 657 ◽  
pp. 976-980 ◽  
Author(s):  
Nicoleta Rachieru ◽  
Nadia Belu ◽  
Daniel Constantin Anghel
Keyword(s):  
Failure Mode ◽  
Traditional Method ◽  
Assessment Model ◽  
Risk Level ◽  
Analysis Method ◽  
Effect Analysis ◽  
Pump Design ◽  
Injection Pump ◽  
Fuzzy Fmea ◽  
Fmea Method

This research is aimed at utilizing failure mode and effect analysis (FMEA) which is a reliability analysis method applicable to rotary injection pump design. In traditional FMEA, Risk Priority Number (RPN) ranking system is used to evaluate, the risk level of failures to rank failures and to prioritize actions. RPN is obtained by multiplying the scores of three risk factors like the Severity (S), Occurrence (O) and Detection (D) of each failure mode. RPN method can not emphasise the nature of the problem, which is multi-attributable and has a group of experts' opinions. Furthermore, attributes are subjective and have different importance levels. In this paper, a framework is proposed to overcome the shortcomings of the traditional method through the fuzzy set theory. Two case studies have been shown to demonstrate the methodology thus developed. It is illustrated a parallel between the results obtained by the traditional method and fuzzy logic for determining the RPNs. We expect that fuzzy FMEA model will assist FMEA team in assess and rank risks more precisely compared with risk assessment model of method.

Sign in / Sign up

Export Citation Format

Share Document