scholarly journals Analisis Cacat Produk Baju Muslim Di Pd. Yarico Collection Menggunakan Metode Failure Mode And Effect Analysis

2018 ◽  
Vol 2 (2) ◽  
pp. 43
Author(s):  
Isma Masrofah ◽  
Hariswan Firdaus
Keyword(s):  
Quality Improvement ◽  
Failure Mode ◽  
Failure Modes ◽  
Spare Part ◽  
Spare Parts ◽  
Cutting Process ◽  
Total Production ◽  
Risk Priority Number ◽  
Machine Maintenance ◽  
Pressing Process

Abstract—Yarico Collection Trad. Co. is a company engaged in clothing convection for the last 12 years. One of the problems faced by this company is the number of defective products that exceed the defect tolerance limits set by the company. The company sets a defect limit of 1% of the total production, while in the field the number of defects is 3%. This study aims to find out the priorities of the causes of disability and find out how to reduce the number of defects related to women's Muslim clothing that occur in the cutting process of 20 units from 1250 units, the process of sewing or unifying clothes by 22 units out of 1250 units, the process of closing down 19 units out of 1250 unit, and the pressing process is 14 units out of 1250 units. The researcher used the Failure Mode Effects Analysis (FMEA) method to obtain the most dominant failure mode of production process, the calculation of Risk Priority Number (RPN) generated in the pressing process with RPN 504 value, sewing process with RPN 448 value, the process of stitching stitches with RPN value 392, and the cutting process with the RPN value 384. From the results of the study obtained several proposals according to the highest RPN value to reduce the number of product defects, including: for cutting defects by adding lighting and periodic machine maintenance, for sewing defects scheduled and the use of components that are standard, for defects in obras are made machine maintenance scheduling, the use of spare parts that are standardized, and using a strongbranded needle, for defects in the pressing process by doing good engine maintenance and providing training to workers with use temperature machine according to the type of fabric. Keywords ; product defect, quality improvement, FMEA, RPN Abstrak— PD. Yarico Collection merupakan perusahaan yang bergerak dalam bidang konveksi pakaian selama 12 tahun terakhir. Salah satu permasalahan yang dihadapi oleh perusahaan ini yaitu jumlah produk cacat yang melebihi batas tolerasi cacat yang di tetapkan oleh perusahaan. Perusahaan menetapkan batas cacat yaitu 1 % dari jumlah peroduksi sedangkan dilapangan jumlah cacat sebesar 3 %. Penelitian bertujuan untuk mengatehaui prioritas penyebab cacat dan mengetahui bagaimana cara menurunkan jumlah cacat terkait baju muslim wanita yang terjadi pada proses cutting sebesar 20 unit dari 1250 unit, proses penjahitan atau penyatuan baju sebesar 22 unit dari 1250 unit, proses obras sebesar 19 unit dari 1250 unit, dan pada proses pressing sebesar 14 unit dari 1250 unit. Peneliti menggunakan metode Failure Modes Efect Analysis (FMEA) sehingga didapat mode kegagalan paling dominan diproses produksi, hasil perhitungan Risk Priority Number (RPN) yang dihasilkan pada proses pressing dengan nilai RPN 504, proses penjahitan dengan nilai RPN 448, proses obras jahitan dengan nilai RPN 392, dan pada proses cutting dengan nilai RPN 384. Dari hasil penelitian didapat beberapa usulan sesuai nilai RPN tertinggi untuk menurunkan jumlah cacat produk, diantaranya : untuk cacat cutting dengan melakukan penambahan penerangan serta melakukan perawatan mesin secara berkala, untuk cacat penjahitan melakukan perawatan mesin secara terjadwal serta penggunaan komponen yang sesuai standard, untuk cacat pada obras dibuat penjadwalan perawatan mesin, penggunaan spare part yang sesuai standar, dan menggunakan jarum obras yeng berbahan kuat, untuk cacat pada proses pressing dengan melakukan perawatan mesin yang baik serta memberika pelatihan kepada pekerja dengan penggunaan suhu mesin sesuai jenis kain.Kata Kunci : Cacat Produk, Quality Improvement, FMEA, RPNa 

PREDICTIVE MAINTENANCE IMPLEMENTATION OF AUTOCLAVE REACTOR AGITATOR

2021 ◽  
Vol 2 (2) ◽  
pp. 23-26
Author(s):  
Oktafianus Toding ◽  
Dayal Gustopo Setiadjit ◽  
Fuad Achmadi
Keyword(s):  
Failure Modes ◽  
Spare Parts ◽  
Machine Maintenance ◽  
Low Performance ◽  
Minor Losses ◽  
Tapioca Flour ◽  
Alternative Solutions ◽  
A Company ◽  
Machine Unavailability ◽  
Autoclave Reactor

Machines are an important factor in the industrial world to produce a product in a company. PT. XYZ is a company engaged in the food industry for sweeteners processed from tapioca flour and corn flour where, through research observations, data is obtained that there are problems that are often faced such as damage to the Agitator Autoclave machine, unavailability of spare parts ( spare parts) needed when there is a breakdown and a breakdown schedule for maintenance workers who have to work overtime. The purpose of this study is to determine the current condition of machine maintenance to reduce damage or failures, the level of machine effectiveness and provide alternative solutions to increase machine effectiveness. The research method used is quantitative using the Overall Equipment Effectiveness (OEE) method, Six Big Losses, Failure Modes and Effects Analysis. The results of the study resulted in an Overall Equipment Effectiveness (OEE) value of 75.07%. The low OEE value on the Agitator Autoclave machine is due to the low performance factor because the engine speed does not match its ideal speed and also the low idle and minor losses in the losses factor caused by frequent breakdowns. Suggestions and suggestions that can be recommended are to periodically evaluate machines and replace old machines.

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.

Risk Informed Work Selection

2021 ◽  
Author(s):  
Frederic Anthony Corsiglia ◽  
Hani Haidar ◽  
Andrew Duncan Frost
Keyword(s):  
Life Cycle ◽  
Failure Mode ◽  
Failure Modes ◽  
Risk Estimation ◽  
Risk Identification ◽  
Spare Parts ◽  
International Standards ◽  
Design Parameters ◽  
Integrity Management ◽  
Criticality Assessment

Abstract Asset integrity management is a life cycle concept typically initiated in the conceptual and detailed design phase of projects. Parallel with the development of equipment and system lists, the process of building maintenance job plans starts. Tools, such as criticality assessment, are used to identify the type of engineering deliverable from which the maintenance job plan is built. For a large majority of equipment and systems, original equipment manufacturer (OEM) recommended or fleet inspection, maintenance and testing (IMT) plans are adequate. For a smaller subset, more detailed plans leveraging risk-based inspection (RBI) and reliability-centered maintenance (RCM) concepts are developed building a regime of preventative maintenance focused on data collection in the commissioning and early operation of the facility. For an extremely limited subset of equipment, mostly machinery, but could include pipelines, electrical and product analyzers, the most detailed plans are developed which are highly specific to a particular equipment tag. Criticality assessment is commonly cited as a core process for prioritization of RBI/RCM plan development initially with spare parts inventories and work management later in the life cycle. International standards such as ISO 14224, Petroleum, petrochemical and natural gas industries — Collection and exchange of reliability and maintenance data for equipment, provide a framework for asset hierarchy and taxonomy which will prove to be important during the operating phase of the life cycle where surveillance and corrective maintenance data will be leverage to optimize maintenance job plans. ISO 14224 refers to IEC 60812, Failure modes and effects analysis (FMEA and FMECA), for treatment of Failure Mode Effects and Criticality Assessment (FMECA). To a large extent, ISO 60812 leaves determination of the variables to drive criticality assessment up to the operator saying only that two or more variables should be used. Variables used commonly include consequence of failure, but also maintainability and complexity. Benchmarks for criticality assessment suggest about 10% of equipment merits identification as critical (reference needed). Criticality is important as a foundation to integrity management as work linked to primary function carries an inherited technical characteristic of the equipment and systems. Over time, additional equipment and systems will be added (or removed) from critical equipment lists through continuous improvement processes such as root cause failure analysis (RCFA). With the prioritization of developing maintenance plans through fleet and RBI/RCM processes and their resultant deliverables defined, the detailed plans are identified through collaboration of technical, maintenance and operations staff specialists. Fundamentally, the process involves identification of hazards which can result in impaired primary and secondary functionality, estimation of unmitigated risk, identification of work to mitigate risk, estimation of mitigated risk, calculation of benefit-to-cost and documenting the analysis into the system of record. Consistency in the processes can be assured through application of procedures and references that typically reference a risk matrix. As each hazard is reviewed, there may be multiple failures modes (e.g. hole, crack, rupture) which needs to be considered independently. Consequence assessment is performed for a range of Safety Health Environmental and Security (SHES) scenarios associated with the failure mode. Probability assessment for the scenarios is performed using the available design parameters. The combined consequence and probability form the initial unmitigated risk basis for the scenario. Inspection, maintenance and testing activities are selected by the collaborating specialists with focus of input from technical on probability mitigation, maintenance on cost and operations on benefit. The scenarios is then revisited to document the mitigated risk.

Integrating TOPSIS and DEMATEL Methods to Rank the Risk of Failure of FMEA

2014 ◽  
Vol 13 (06) ◽  
pp. 1229-1257 ◽  
Author(s):  
Kuei-Hu Chang ◽  
Yung-Chia Chang ◽  
Yu-Tsai Lee
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Iso 9000 ◽  
Decision Makers ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Analysis Techniques ◽  
Risk Of Failure ◽  
Quality Certification ◽  
Order Preference

Failure mode and effect analysis (FMEA) is one of the risk analysis techniques recommended by international quality certification systems, such as ISO 9000, ISO/TS 16949, CE, and QS9000. Most current FMEA methods use the risk priority number (RPN) value to evaluate the risk of failure. The RPN value is the mathematical product of the three parameters of a failure mode that is rated between 1 and 10 in terms of its severity (S), occurrence (O), and detection (D), respectively. However, the RPN method has been found with three main drawbacks: (1) high duplicate RPN values, (2) failure to consider the ordered weights of S, O, and D, and (3) failure to consider the direct and indirect relationships between the failure modes and causes of failure. Therefore, this paper integrates the technique for order preference by similarity to ideal solution (TOPSIS) and the decision-making trial and evaluation laboratory (DEMATEL) approach to rank the risk of failure. A case of an inlet plate ring that has been drawn from a professional mechanical factory is presented to further illustrate the proposed approach. After comparing the result that was obtained from the proposed method with the conventional RPN and DEMATEL methods, it was found that the proposed method can resolve the abovementioned RPN ranking issues and give a more appropriate risk assessment than other listed approaches to provide valuable information for the decision makers.

Failure Mode and Effects Analysis on Control Equipment Using Fuzzy Theory

2013 ◽  
Vol 837 ◽  
pp. 16-21
Author(s):  
Nadia Belu ◽  
Daniel Constantin Anghel ◽  
Nicoleta Rachieru
Keyword(s):  
System Design ◽  
Failure Mode ◽  
Failure Modes ◽  
Fuzzy Theory ◽  
Risk Level ◽  
Risk Priority Number ◽  
Control Equipment ◽  
Wide Range ◽  
Criticality Analysis ◽  
Made In

Failure Mode and Effects Analysis is a methodology to evaluate a system, design, process, machine or service for possible ways in which failures (problems, errors, risks and concerns) can occur and it has been used in a wide range of industries. Traditional method uses a Risk Priority Number to evaluate the risk level of a component or process. This is obtained by finding the multiplication of three factors, which are the severity of the failure (S), the probability/occurrence of the failure (O), and the probability of not detecting the failure (D). There are significant efforts which have been made in FMEA literature to overcome the shortcomings of the crisp RPN calculation. Fuzzy logic appears to be a powerful tool for performing a criticality analysis on a system design and prioritizing failure identified in analisys FMEA for corrective actions. In this paper we present a parallel between the typical and the fuzzy computation of RPNs, in order to assess and rank risks associated to failure modes that could appear in the functioning of control equipment.

Evaluating the operational risks of biomedical waste using failure mode and effects analysis

2017 ◽  
Vol 35 (6) ◽  
pp. 593-601 ◽  
Author(s):  
Ying-Chu Chen ◽  
Pei-Yi Tsai
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Risk Priority Number ◽  
Waste Generation ◽  
Biomedical Waste ◽  
The Public ◽  
Severity Rating ◽  
High Severity ◽  
Operational Risks ◽  
Potential Problems

The potential problems and risks of biomedical waste generation have become increasingly apparent in recent years. This study applied a failure mode and effects analysis to evaluate the operational problems and risks of biomedical waste. The microbiological contamination of biomedical waste seldom receives the attention of researchers. In this study, the biomedical waste lifecycle was divided into seven processes: Production, classification, packaging, sterilisation, weighing, storage, and transportation. Twenty main failure modes were identified in these phases and risks were assessed based on their risk priority numbers. The failure modes in the production phase accounted for the highest proportion of the risk priority number score (27.7%). In the packaging phase, the failure mode ‘sharp articles not placed in solid containers’ had the highest risk priority number score, mainly owing to its high severity rating. The sterilisation process is the main difference in the treatment of infectious and non-infectious biomedical waste. The failure modes in the sterilisation phase were mainly owing to human factors (mostly related to operators). This study increases the understanding of the potential problems and risks associated with biomedical waste, thereby increasing awareness of how to improve the management of biomedical waste to better protect workers, the public, and the environment.

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.

Risk Priority Analysis for Engine Based on Fuzzy Weighted Geometric Mean

2012 ◽  
Vol 463-464 ◽  
pp. 1160-1164 ◽  
Author(s):  
Ying Kui Gu ◽  
Xin Chong Luo ◽  
Shun Yun Tang
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Geometric Mean ◽  
Computational Process ◽  
Occurrence Probability ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Fuzzy Fmea ◽  
Alpha Level ◽  
Theory Failure

Fuzzy risk priority numbers (FRPNs) were proposed for assessment of the probabilistic risk by synthetically using fuzzy set theory, failure mode and effect analysis. The priority rank of failure modes is evaluated by fuzzy risk priority number in the fuzzy failure mode and effect analysis, where occurrence probability ranking, effect severity ranking and detection difficulty ranking are all fuzzy weighted geometric mean, and the FRPN can be computed using alpha-level set and optimization model. An engine example was provided to illustrate the proposed fuzzy FMEA and the detailed computational process of the FRPNs.

scholarly journals A Research on Failure Mode and Effect Inquiry on Tea Leaves Processing - Leaf Shredder Machine

2019 ◽  
Vol 8 (9S2) ◽  
pp. 414-416
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Study Data ◽  
Risk Priority Number ◽  
Total Quality ◽  
Tea Leaves ◽  
Effect Analysis ◽  
Entire Process ◽  
Cutting Knife ◽  
Functional Components

India is a large exporter of tea leaves and has industries involving in Tea Leaves processing. There are generally three stages in the processing of tea leaves and many machines are involved that cater to various process to convert the raw tea leaves to usable products. In the first stage there is a machine titled Leaf Shredder that is critical in the process as the entire process is a product based and a breakdown of this machine in particular affects the entire process from that point. This study focuses on the failure modes of the Leaf Shredder machine and its effect. The Total Quality Management (TQM) tool - Failure Mode and Effect Analysis (FMEA) is used in this study. The critical functional components of the Leaf Shredder are five in number. Through the study, data has been collected and the Risk Priority Number has been calculated. Based on the Risk Priority Number value it is seen that the Cutting Knife, Main Shaft and the Bearing are the components that are having a tendency to fail. The Reason of failure was analyzed. From the analysis it is seen that the main cause of failure is due to improper maintenance of the components and unbalancing of the cutting knife weight. A well thought of plan of action to maintain the Tea Leaf Shredder will bring down the failure rate and improve the reliability of the product layout

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