scholarly journals The Possible Use of the FMEA Method to Ensure Health Safety of Municipal Water

2010 ◽  
Vol 14-15 (1) ◽  
pp. 143-154 ◽  
Author(s):  
Janusz Rak ◽  
Barbara Tchórzewska-Cieślak

The Possible Use of the FMEA Method to Ensure Health Safety of Municipal WaterThe paper presents the adaptation of failure modes and effect analysis (FMEA) to assess risk associated with the possibility of tap water contamination. In the case of drinking water quality, occurring threats include pollution by hazardous substances that have an impact on life-threatening risk, health risk and environmental risk. The main aim of this paper is to develop a methodology to use the FMEA method for water supply system.

Author(s):  
Kapil Dev Sharma ◽  
Shobhit Srivastava

Failure mode and effect analysis is one of the QS-9000 quality system requirement supplements, with a wide applicability in all industrial fields. FMEA is the inductive failure analysis instruments which can be defined as a methodical group of activities intended to recognize and evaluate the potential failure modes of a product/ process and its effects with an aim to identify actions which could eliminate or reduce the chance of the potential failure before the problem occur. The purpose of this paper is to evaluate the FMEA research and application in the Thermal Power Plant Industry. The research will highlight the application of FMEA method to water tubes (WT) in boilers with an aim to find-out all the major and primary causes of boiler failure and reduce the breakdown for continuous power generation in the plant. Failure Mode and Effect Analysis technique is applied on most critical or serious parts (components) of the plant which having highest Risk Priority Number (RPN). Comparison is made between the quantitative results of FMEA and reliability field data from real tube systems. These results are discussed to establish relationships which are useful for future water tube designs.


2014 ◽  
Vol 04 (03) ◽  
pp. 127-135 ◽  
Author(s):  
Mehrzad Ebrahemzadih ◽  
G. H. Halvani ◽  
Behzad Shahmoradi ◽  
Omid Giahi

2020 ◽  
Vol 8 (2) ◽  
pp. 105-113
Author(s):  
Achmaddudin Sudiro

Outpatient services hosted by the hospital have never been absent from public visits. In fact, every year an outpatient visitor is always increasing. This research intends to identify potential failure mode that can  inhibit of every flow of service in the outpatient care unit using the Failure Mode Effect Analysis (FMEA) method. Qualitative research plan using an observation survey approach and in-depth interviews with the outpatient service head Coordinator conducted in February 2020 on the hospital outpatient unit service process. The results of this study Indicate the potential failure mode that has the value of the RPN above the value of cut off point 180 as many as six out of ten failure modes. Firstly, the check is not on schedule (360), secondly, the patient lags a turn call order Check (270), third, Specific drug failure is not available (245), fourth, general patient protests with the price of the drug (224), fifth, the patient is void to poly (196), the sixth patient registrant online missed sequence number queue (180). Based on the results of the research, hospitals are expected to follow up with the results of this research by conducting a redesign of the process that occurs today using the FMEA to maintain service quality.


Author(s):  
Evan Mandala Putra ◽  
Sri Mukti Wirawati ◽  
Pugy Gautama

This study aims to analyze defects in the sheet production process in the 301 Corrugator area by analyzing the total number of sheets produced and the number of sheets that have been damaged over a certain period of time using the Statistical Process Control (SPC) method and Failure Modes and Effect Analysis (FMEA). Based on the research results, there are 6 defects, namely untidy cuts, wrinkled sheets, uneven surface, curved sheets, uneven sides, loose sheet layers. The most dominant defect is uneven surface, which is 185.141 Kg or 60%. Based on the value of the RPN table, the product defect that has the highest value is the loose sheet layer with an RPN value of 245 from the calculation stage of the RPN value, a suggestion is made to reduce defects resulting from the loose sheet layer. From the stage of making improvements, the company should prioritize and focus on the types of disabilities and types of disabilities that have the highest RPN ranking when using the Failure Mode and Effect Analysis (FMEA) method.


Author(s):  
Andi Trias Aryanto ◽  
Tuwanku Aria Auliandri

Increasingly fierce competition make quality becomes a more value in the eyes of consumers. Keeping quality of being a need for companies to be able to stay in business. PT. Holi Mina Jaya is an Indonesian company that is engaged in marine fish processing. One of the flagship products offered are Fillet Skin On Red Mullet. The purpose of this study was to identify factors disability that occurs in the product Red Mullet Fillet Skin On analysis of the seven basic tools of quality and propose improvements to the failure modes and effects analysis (FMEA). The study focused on the stages of production that have a direct impact on the finished products includes receiving, filleting, and washing. This study uses five of the seven basic quality tools, which flow charts, check sheets, histograms, cause and effect diagram and Pareto charts to identify defects. For quality improvement proposals using FMEA method by finding the value of the RPN (Risk Priority Number), have described the RPN value calculation by multiplying the value of Severity, Occurrence and Detection. Highest cause of any kind of disability, like any form of meat are less scrupulous employees, and skilled with the value of RPN 120, not fresh fish product defects are less rigorous sorting process HR RPN value by 54, and the last meat is not clean of thorns is less scrupulous employees with RPN at 36. 


Healthcare ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 544
Author(s):  
Amira Kammoun ◽  
Wafik Hachicha ◽  
Awad M. Aljuaid

Healthcare facilities are facing major issues and challenges. Hospitals continuously search approaches to improve operations quality, optimize performance, and minimize costs. Specifically, an efficient hospital sterilization process (HSP) allows reusable medical devices (RMDs) to be more quickly available for healthcare activities. In this context, this paper describes an integrated approach developed to analyze HSP and to identify the most critical improvement actions. This proposed approach integrates four quality tools and techniques. Firstly, a structured analysis and design technique (SADT) methodology is applied to describe HSP as a hierarchy of activities and functions. Secondly, the failure modes and effects analysis (FMEA) method is used as a risk assessment step to determine which activity processes need careful attention. Thirdly, a cause–effect analysis technique is used as a tool to help identify all the possible improvement actions. Finally, priority improvement actions are proposed using the quality function deployment (QFD) method. To validate the proposed approach, a real sterilization process used at the maternity services of Hedi-Cheker Hospital in the governorate of Sfax, Tunisia, was fully studied. For this specific HSP, the proposed approach results showed that the two most critical activities were (1) improving the coordination between the sterilization service and the surgery block and (2) minimizing the average duration of the sterilization process to ensure the availability of RMDs in time.


JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 77
Author(s):  
Eko Krisdiono ◽  
I Nengah Putra A ◽  
I Made Jiwa Astika ◽  
Bambang Suharjo

The FMEA method is a tool used to identify the consequences or consequences of a system or process failure and reduce or eliminate failure. In determining risk factors and system improvement priorities, traditional FMEA still has weaknesses, where FMEA traditionally places severity factors, occurrence, and detection at the same level of importance, even though in reality different levels of importance and the importance of FMEA assessment teams are ignored.          In this study, the fuzzy method is integrated into FMEA where the severity factor, occurrence, and detection are assessed in linguistic form. In this fuzzy method, the weight of the interests of the FMEA assessment team is taken into account to do ranking and repair priorities. The application of Fuzzy methods to FMEA to determine significant risk factors and prioritizing improvements from various alternatives chosen for the process of repairing KRI in Surabaya Lantamal V, so that it is expected that the application of this method can improve the operational performance of Fasharkan to eliminate or reduce the risks that occur in the repair process ships in the eastern region of the fleet. Keywords: Risk Management, Failure Modes and Effect Analysis (FMEA), Fuzzy Method


2021 ◽  
Vol 13 (4) ◽  
pp. 205-212
Author(s):  
Ilie NICOLIN ◽  
Bogdan Adrian NICOLIN

Failure Mode and Effect Analysis (FMEA) techniques were originally developed by the US Military and have been used as techniques for assessing the reliability and effects of equipment failures. However, the first notable applications of FMEA techniques are related to the impressive development of the aerospace industry in the mid-1960s. FMEA is a methodology for systematically analyzing the failure modes of a project, product or process, prioritizing their importance, identifying system failure mechanisms, analyzing potential failure modes and the effects of these failures, followed by corrective actions, which are applied in the stage of conceptual and detailed design of the product. All approaches to FMEA methods in the scientific literature converge to achieve three goals, namely: the ability to predict the type of failure that may occur, the ability to predict the effects of the failure on system operation, and the establishment of the steps to prevent failure and its effects on the system operation. The FMEA for the project of a nose landing gear analyzes the failure modes of the product and their effects in operation, as a consequence of project deficiencies and identifies or confirms critical functions. To apply the FMEA method to the project of the nose landing gear of a military training aircraft, the following steps need to be accomplished: product description and identification of components; identification of functions; identification of potential ways of failure; estimating the frequency of causes of failure; appreciation of the severity of effects; assessment of difficulties in detecting defects; calculation of the Risk Priority Number (RPN); establishing the measures and corrective actions for the analyzed project.


2021 ◽  
Author(s):  
Chuanxi Jin ◽  
Yan Ran ◽  
Genbao Zhang

Abstract In order to enhance quality and reliability of mechanical and electrical products, the methods of taking corresponding corrective measures to eliminate or alleviate product failure in advance have been widely concerned. Failure mode and effects analysis (FMEA) is a typical prevention reliability analysis method. However, there are some drawbacks in traditional FMEA method. To overcome these drawbacks, we propose a hybrid risk evaluation method, which combines picture fuzzy sets (PFSs), the PF-linear programming model (PF-LPM) method and the PF-weighted aggregated sum product assessment (PF-WASPAS) method. We adopt PFSs to evaluate risks of products. In order to overcome drawback of the traditional distance between PFSs, some new distance measures between PFSs based on the Dice similarity and the Jaccard similarity are proposed by us. The PF-LPM method which considers the subjective weights of risk factors and calculates synthetical deviation with the Dice similarity-based distance is utilized to calculate the weights of risk factors. Moreover, the PFWA operator and the PFWG operator are used by us to fuse experts’ evaluation information. Then, the PF-WASPAS method is utilized to rank failure modes. Finally, an illustrative example with respect to pallet exchange rack is introduced, and the rationality, effectiveness and applicability of the proposed method are verified by a discussion and comparison.


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