scholarly journals Implementasi FMEA dalam Menganalisis Risiko Kegagalan Proses Produksi Berdasarkan RPN

2021 ◽  
Vol 20 (2) ◽  
pp. 133
Author(s):  
Raynaldhi Yudha Prasetya ◽  
Suhermanto Suhermanto ◽  
Muryanto Muryanto
Keyword(s):  
Failure Modes ◽  
Risk Priority Number

Pengendalian kualitas merupakan hal yang penting untuk mempertahankan posisi perusahaan di mata konsumen. Pada saat ini permasalahan yang terjadi pada perusahaan masih ada yang di luar dari ketentuan batas. Diketahui di atas angka persentase yang telah ditetapkan oleh perusahaan. Sehingga perusahaan segera melakukan perbaikan agar tidak terjadi waste/yang merugikan perusahaan. Dengan adanya pengendalian kualitas secara baik dan benar, maka akan diperoleh produk yang dapat memenuhi keinginan konsumen. Salah satu tools yang digunakan untuk membantu pengendalian kualitas adalah menggunakan metode Failure Modes and Effects Analysis (FMEA). Penggunaan FMEA mampu mengidentifikasi risiko kegagalan yang terjadi selama proses produksi di TL - 5<strong>.</strong> Tujuan penelitian ini adalah menganalisis moda kegagalan yang menyebabkan terjadi permasalahan dengan menggunakan metode FMEA. Dengan berdasarkan nilai Risk Priority Number (RPN). Selanjutnya emberikan usulan perbaikan untuk produksi selanjutnya. Berdasarkan pengolahan dengan metode FMEA dapat mengidentifikasi moda kegagalan yang terjadi. Dapat diketahui hasil dari penelitian, terdapat 7 moda kegagalan yang perlu diberikan usulan/tindakan.

A Systematized FMEA Practice for Magnet Relays

2010 ◽  
Vol 146-147 ◽  
pp. 757-769
Author(s):  
Ching Ming Cheng ◽  
Wen Fang Wu ◽  
Yao Hsu
Keyword(s):  
New Product Development ◽  
Failure Modes ◽  
New Product ◽  
Risk Priority Number ◽  
Detection Model ◽  
Regulation Function ◽  
Potential Failure ◽  
Weighting Rule ◽  
Rating Criterion

The Design Failure Modes and Effects Analysis (DFMEA) are generally applied to risk management of New Product Development (NPD) through standardization of potential failure modes and effect-ranking of rating criterion with failure modes. Typical 1 to 10 of effect-ranking are widely weighed the priority of classification, that framing effects and status quo senses might cause decision trap happening thus. The FMEA follows considerable indexes which are including Severity, Occurrence and Detection, and need be associated with difference between every two failures individually. However, we suspect that a more systematic construction of the analysis by which failure modes belong is necessary in order to make intellectual progress in this area. Two ways of such differentiation and construction are improvable effect-ranking and systematized indexes; here we resolve for attributes of failures with classification, maturity and experiance of indexes according to an existing rule. In Severity model, the larger differentiation is achieved by separating indexes to the classification of the Law & Regulation, Function and Cosmetic. Occurrence model has its characteristic a reliable ranking indexwhich assists decisionmakers to manage their venture. This is the model most closely associate with product maturity by grouping indexes to the new, extend and series product. Detection model offers a special perspective on cost; here the connections concerned with phase occasion of the review, verification and validation. Such differentiations will be proposed and mapped with the Life Cycle Profile (LCP) to systematize FMEA. Meanwhile, a more reasonable Risk Priority Number (RPN) with the new weighting rule will be worked out for effect-ranking and management system will be integrated systematiclly

VIKOR power law-based customer-oriented FMEA with complete unique risk priority numbers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Randula L. Hettiarachchi ◽  
Pisut Koomsap ◽  
Panarpa Ardneam
Keyword(s):  
Case Studies ◽  
Power Law ◽  
Design Methodology ◽  
Service Sector ◽  
Failure Modes ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Content Type ◽  
Industrial Sectors ◽  
Inherent Problem

PurposeAn inherent problem on risk priority number (RPN) value duplication of traditional failure modes and effect analysis (FMEA) also exists in two customer-oriented FMEAs. One has no unique value, and another has 1% unique values out of 4,000 possible values. The RPN value duplication has motivated the development of a new customer-oriented FMEA presented in this paper to achieve practically all 4,000 unique values and delivering reliable prioritization.Design/methodology/approachThe drastic improvement is the result of power-law and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). By having all three risk factors in a power-law form, all unique values can be obtained, and by applying VIKOR to these power-law terms, the prioritization is more practical and reliable.FindingsThe proposed VIKOR power law-based customer-oriented FMEA can achieve practically all 4,000 unique values and is tested with two case studies. The results are more logical than the results from the other two customer-oriented FMEAs.Research limitations/implicationsThe evaluation has been done on two case studies for the service sector. Therefore, additional case studies in other industrial sectors will be required to confirm the effectiveness of this new customer-oriented RPN calculation.Originality/valueAchieving all 1,000 unique values could only be done by having experts tabulate all possible combinations for the traditional FMEA. Therefore, achieving all 4,000 unique values will be much more challenging. A customer-oriented FMEA has been developed to achieve practically all 4,000 unique risk priority numbers, and that the prioritization is more practical and reliable. Furthermore, it has a connection to the traditional FMEA, which helps explain the traditional one from a broader perspective.

Challenges and Methods in the Quantification of Design Errors and Solution Elements

2004 ◽  
Author(s):  
Lawrence P. Chao ◽  
Kosuke Ishii
Keyword(s):  
Design Process ◽  
Life Cycle Cost ◽  
Quality Function Deployment ◽  
Failure Modes ◽  
Spatial Distance ◽  
Risk Priority Number ◽  
Design Elements ◽  
Process Failure ◽  
Temporal And Spatial ◽  
Process Level

To error-proof the design process, tools such as Design Process Failure Modes and Effects Analysis and Project Quality Function Deployment mitigate risk through thorough understanding of the consequences of both the process-level errors that can occur and the solution elements that mitigate them. However, the quantification of design errors and prioritization of other elements are complicated by the temporal and spatial distance of the decisions from the end-result. This paper discusses measures for design elements in the context of process-based analysis, including the design errors, tasks, and project resources. The Risk Priority Number is the standard measure of criticality of failure modes and their effects. However, alternatives to the traditional RPN have emerged in forms such as expected and life-cycle cost as well as QFD-based techniques. The paper explores the benefits and challenges of these traditional and new measures and concludes with a discussion into converting between the measures.

An Assessment of RPN Prioritization in a Failure Modes Effects and Criticality Analysis

2004 ◽  
Vol 47 (1) ◽  
pp. 51-56 ◽  
Author(s):  
John Bowles
Keyword(s):  
Failure Modes ◽  
Measurement Scale ◽  
Risk Priority Number ◽  
Probability Of Occurrence ◽  
Ordinal Ranking ◽  
Potential Failure ◽  
Different Characteristics ◽  
Criticality Analysis

The Risk Priority Number methodology for prioritizing failure modes is an integral part of the Automobile Failure Modes and Effects Analysis (FMECA) technique. This technique consists of ranking potential failures from 1 to 10 with respect to their severity, probability of occurrence, and likelihood of detection in later tests, and multiplying the numbers. The result is a numerical ranking, called the RPN, on a scale from 1 to 1000. Potential failure modes having higher RPNs are assumed to have a higher design risk than those having lower values. Although this method is well documented and easy to apply, it is seriously flawed from a technical perspective, making the interpretation of the analysis results problematic. Problems with the methodology include: use of ordinal ranking numbers as numeric quantities; lack of continuity in the RPN measurement scale; duplicate RPN values with extremely different characteristics; and varying sensitivity to small changes. Recommendations for an improved methodology are provided.

Multiple failure modes analysis and weighted risk priority number evaluation in FMEA

2011 ◽  
Vol 18 (4) ◽  
pp. 1162-1170 ◽  
Author(s):  
Ningcong Xiao ◽  
Hong-Zhong Huang ◽  
Yanfeng Li ◽  
Liping He ◽  
Tongdan Jin
Keyword(s):  
Failure Modes ◽  
Risk Priority Number ◽  
Multiple Failure Modes

Risk Analysis of Propulsion System based on Similarity Measure and Weighted Fuzzy Risk Priority Number in FMEA

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Hang Zhou ◽  
Yuan-Jian Yang ◽  
Hong-Zhong Huang ◽  
Yan-Feng Li ◽  
Jinhua Mi
Keyword(s):  
Risk Analysis ◽  
Set Theory ◽  
Similarity Measure ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Failure Modes ◽  
Propulsion System ◽  
Second Phase ◽  
Risk Priority Number ◽  
Weight Analysis

Abstract Due to the epistemic uncertainty, it is difficult for the experts to give precise parameter values in Risk Priority Number (RPN) evaluations. To overcome this drawback, a hybrid method is proposed by integrating the concepts of fuzzy set theory, weight analysis and similarity value measure of fuzzy numbers. The analysis process is divided into two phases to identify the hazard source. The first phase uses fuzzy Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA), then the main potential failure modes can be determined. The importance analysis of basic events can be calculated using fuzzy set theory and weight analysis. In the second phase, the multiple failure modes and component correlations are modelled using the Fuzzy Risk Priority Number (FRPN) evaluation and the Similarity Measure Value Method (SMVM). The proposed method has been applied to the risk analysis of a satellite propulsion system to show the effectiveness and applicability.

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 Risk analysis of warehouse operation in a power plant through a Modified FMEA

2018 ◽  
Vol 154 ◽  
pp. 01089
Author(s):  
Sri Indrawati ◽  
Kharina Novia Karunia Ningtyas ◽  
Alfina Budi Khoirani ◽  
Riadho Clara Shinta
Keyword(s):  
Power Plant ◽  
Risk Analysis ◽  
Needs Assessment ◽  
Failure Mode ◽  
Failure Modes ◽  
Basic Needs ◽  
Risk Priority Number ◽  
West Java ◽  
Warehouse Operation ◽  
Fmea Method

Currently, electricity becomes basic needs for human’s life sustainability. Most of activities require electricity. Some power plant are demanded to be able to fulfil above necessity by distributing electricity as it required within time. Therefore, to accommodate good performance, it needs assessment on risk analysis, specifically at the warehousing division. A risk analysis is needed for assuring a good performance warehouse. A Modified FMEA method is used to analyse the risk. This method id done by identifying sources and root causes of a problem based on the value of risk priority number (RPN). The research is conducted in an Indonesian power plant, located in West Java. There are 10 types of failure modes. The result shows that the failure mode priority is inventory discrepancies. There are no difference ranking on the most impacted failure to be prioritized using FMEA and modified FMEA method.

Analysing Reliability Aspects of HVAC Systems - A Case

2012 ◽  
Vol 488-489 ◽  
pp. 1813-1817
Author(s):  
Rajiv Kumar Sharma ◽  
Chandan Parbhot ◽  
Sidhant Thakur ◽  
Vivek Thakur
Keyword(s):  
Qualitative Analysis ◽  
Failure Modes ◽  
Reliability Assessment ◽  
Hvac Systems ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Cause Analysis ◽  
Root Cause ◽  
Reliability Characteristics ◽  
Assessment Techniques

The general objective of this work is to analyze the failure of HVAC components in metro trains by using reliability assessment techniques. Various failure causes with respect to the electronic, electrical, hydraulic, pneumatic, software and mechanical components were identified. To improve upon the reliability characteristics of the system, in depth qualitative analysis of all HVAC units is carried out using Root cause analysis (RCA) and failure modes and effect analysis (FMEA) by listing all possible failure modes and their possible causes. Based on FMEA of components, Risk Priority Number (RPN) is calculated.

scholarly journals Controlling Risks in the Compounding Process of Individually Formulated Parenteral Nutrition: Use of the FMECA Method (Failure modes, effects, and Criticality Analysis)

2020 ◽  
Vol 4 (3-4) ◽  
pp. 105-112
Author(s):  
Mathilde Royer ◽  
Maïté Libessart ◽  
Jean-Marc Dubaele ◽  
Pierre Tourneux ◽  
Fréderic Marçon
Keyword(s):  
Intensive Care Unit ◽  
Functional Analysis ◽  
Intensive Care ◽  
Parenteral Nutrition ◽  
Neonatal Intensive Care ◽  
Failure Modes ◽  
Risk Priority Number ◽  
Multidisciplinary Working ◽  
Criticality Analysis

AbstractParenteral nutrition (PN) in the neonatal intensive care unit (NICU) involves a succession of risky processes. The objective was to identify and prioritize the risks associated with PN in order to improve the quality of the pathway. A failure modes, effects, and criticality analysis (FMECA) was used to identify potential PN pathway failure modes. A multidisciplinary working group conducted a functional analysis of the processes, then listed the failure modes (FM). The FM criticality was assessed on a scale from 1 to 5 for occurrence (O), severity (S), and detection (D). The risk priority number (RPN), ranging from 1 to 125, was calculated. The FMECA identified 99 FM (prescription (n=28), preparation (n=48), and administration (n=23)). The median RPN was 12, with scores ranging from 3 to 48. 25 % of the scores had an RPN>21.75.Among them, 12 were associated with prescription FM, 5 were associated with FM related to preparation and 8 were associated with a FM linked to administration. It allowed us to prioritize areas of potential quality improvement for parenteral nutrition of the preterm infant. The results demonstrated the need for the presence of a clinical pharmacist in the NICU to ensure the quality of PN process.

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