scholarly journals AN ANALYSIS ON KRI IMPROVEMENT PROJECT IN INDONESIAN NAVAL MAIN BASE NO. V SURABAYA FASHARKAN (NAVY’S BATTLESHIPS MAINTENANCE AND REPAIRING FACILITIES USING FUZZY FMEA METHOD

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 77
Author(s):  
Eko Krisdiono ◽  
I Nengah Putra A ◽  
I Made Jiwa Astika ◽  
Bambang Suharjo
Keyword(s):  
Risk Factors ◽  
Failure Modes ◽  
Significant Risk ◽  
Repair Process ◽  
Eastern Region ◽  
Severity Factor ◽  
Effect Analysis ◽  
Improvement Project ◽  
Fuzzy Method ◽  
Fmea Method

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

scholarly journals An Improving failure Mode and Effect Analysis Method for Pallet Exchange Rack Risk Analysis

2021 ◽  
Author(s):  
Chuanxi Jin ◽  
Yan Ran ◽  
Genbao Zhang
Keyword(s):  
Risk Factors ◽  
Failure Mode ◽  
Evaluation Method ◽  
Failure Modes ◽  
Programming Model ◽  
Distance Measures ◽  
Analysis Method ◽  
Effect Analysis ◽  
Fmea Method ◽  
Picture Fuzzy Sets

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.

scholarly journals Pendekatan Fuzzy FMEA dalam Analisis Faktor Risiko Kecelakaan Kerja

2017 ◽  
Vol 6 (1) ◽  
pp. 29
Author(s):  
Ronald Sukwadi ◽  
Frederikus Wenehenubun ◽  
Tarsina Wati Wenehenubun
Keyword(s):  
Risk Factors ◽  
Fuzzy Logic ◽  
Risk Factor ◽  
Failure Mode ◽  
Failure Modes ◽  
Effect Analysis ◽  
Fuzzy Fmea ◽  
Work Accident ◽  
Work Accidents ◽  
Fmea Method

<p><em>This </em><em>study</em><em> </em><em>aims to</em><em> </em><em>identify and </em><em>analyze </em><em>the </em><em>risk factors </em><em>of</em><em> work accidents</em><em>. </em><em>Failure Mode and Effect Analysis (FMEA) and Fuzzy Logic </em><em>approach are applied</em><em>. </em><em>The information obtained from the workers is expressed using fuzzy linguistics terms, and a FMEA method is proposed to determine the risk priority of failure modes. </em><em>The results </em><em>indicate</em><em> that </em><em>injuries caused when struck by an object are the highest</em><em> risk factor </em><em>of work accident (</em><em>FRPN </em><em>=</em><em> 886</em><em>). Some work improvements are suggested to reduce or eliminate the work risks.</em><em></em></p><p><em>Keywords</em><em>: Risk factor</em><em>s</em><em>, work accident, FMEA, Fuzzy </em></p>

Improving Quality of Surgical Care and Outcomes: Factors Impacting Surgical Site Infection after Colorectal Resection

2014 ◽  
Vol 80 (8) ◽  
pp. 759-763 ◽  
Author(s):  
Virginia Oliva Shaffer ◽  
Caitlin D. Baptiste ◽  
Yuan Liu ◽  
Jahnavi K. Srinivasan ◽  
John R. Galloway ◽  
...  
Keyword(s):  
Risk Factors ◽  
Glucose Level ◽  
Univariate Analysis ◽  
Significant Risk ◽  
Surgical Care ◽  
Surgical Site Infections ◽  
Case Volume ◽  
Improvement Project ◽  
Combining Data

Surgical site infections (SSIs) result in patient morbidity and increased costs. The purpose of this study was to determine reasons underlying SSI to enable interventions addressing identified factors. Combining data from the American College of Surgeons National Surgical Quality Improvement Project with medical record extraction, we evaluated 365 patients who underwent colon resection from January 2009 to December 2012 at a single institution. Of the 365 patients, 84 (23%) developed SSI. On univariate analysis, significant risk factors included disseminated cancer, ileostomy, patient temperature less than 36°C for greater than 60 minutes, and higher glucose level. The median number of cases per surgeon was 36, and a case volume below the median was associated with a higher risk of SSI. On multivariate analysis, significant risks associated with SSI included disseminated cancer (odds ratio [OR], 4.31; P < .001); surgery performed by a surgeon with less than 36 cases (OR, 2.19; P = .008); higher glucose level (OR, 1.06; P 5.017); and transfusion of five units or more of blood (OR, 3.26; P 5.029). In this study we found both modifiable and unmodifiable factors associated with increased SSI. Identifying modifiable risk factors enables targeting specific areas to improve the quality of care and patient outcomes.

scholarly journals Characteristics and risk factors of Plasmodium falciparum malaria in Eastern and Central Nepal

1970 ◽  
Vol 7 (4) ◽  
pp. 378-382 ◽  
Author(s):  
MR Banjara ◽  
W Sirawaraporn ◽  
S Petmitr ◽  
M Imwong ◽  
AB Joshi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Falciparum Malaria ◽  
Central Region ◽  
Significant Risk ◽  
Cross Sectional Study ◽  
Eastern Region ◽  
Limited Information ◽  
Laboratory Assessment ◽  
Cross Sectional ◽  
Central Nepal

Background: Very limited information is available on epidemiology of falciparum malaria in Nepal. Such information is very important for malaria control programmes. It is believed that malaria in Eastern region is imported from border districts of India and local transmission follows whereas it is indigenous in Central region. Therefore, the characteristics and risk factors of malaria are believed to be different in Eastern and Central Nepal. Objective: The objective of the study is to describe and compare the characteristics and risk factors of falciparum malaria in Eastern and Central Nepal. Materials and methods: This cross-sectional study was conducted in falciparum malaria endemic districts of Eastern and Central Nepal, during the period 2007 to 2008. We identified and collected information from 106 patients (62 from Eastern and 44 from Central region). Patient examination, clinical and laboratory assessment were done and patients were interviewed using structured questionnaire for malaria related characteristics, risk factors and behaviours. Results: There were significant differences in risk factors and characteristics of falciparum malaria in the Central than the Eastern region. In the Central region, male, illiteracy and thatched roof hut were significant risk factors of falciparum malaria patients as compared to the Eastern region. Visits outside within one months, previous malaria within three months, taking antimalarial before confirmatory diagnosis were significantly higher in patients of the Eastern region as compared to the Central region. Conclusion: Falciparum malaria in Nepal should not be seen as similar entity, and different strategies for prevention and control is needed for its diverse characteristics and endemicity. Key words: Eastern and Central Nepal; falciparum malaria; risk factors DOI: 10.3126/kumj.v7i4.2758 Kathmandu University Medical Journal (2009) Vol.7, No.4 Issue 28, 378-382

Failure Mode and Effect Analysis (FMEA) for Enhancing Reliability of Water Tube Boiler in Thermal Power Plant

2016 ◽  
Vol 8 (02) ◽  
pp. 79-86
Author(s):  
Kapil Dev Sharma ◽  
Shobhit Srivastava
Keyword(s):  
Power Plant ◽  
Failure Mode ◽  
Thermal Power Plant ◽  
Failure Modes ◽  
Thermal Power ◽  
Effect Analysis ◽  
Water Tube ◽  
Potential Failure ◽  
Fmea Method ◽  
Continuous Power

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.

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
Keyword(s):  
Water Contamination ◽  
Failure Modes ◽  
Tap Water ◽  
Supply System ◽  
Hazardous Substances ◽  
Effect Analysis ◽  
Health Safety ◽  
Municipal Water ◽  
Life Threatening ◽  
Fmea Method

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.

scholarly journals Analyzing the risk factors of private–public partnerships for water supply projects using fuzzy synthetic evaluation: a case study of Iranian water supply projects

2017 ◽  
Vol 18 (3) ◽  
pp. 1005-1019
Author(s):  
Jalal Rezaeenour ◽  
Mohammad Mousavi-Saleh ◽  
Abdol Rahman Kolahkaj
Keyword(s):  
Risk Factors ◽  
Water Supply ◽  
Risk Level ◽  
Fuzzy Synthetic Evaluation ◽  
Effect Analysis ◽  
Fmea Method ◽  
Level Of Risk ◽  
Overall Risk ◽  
Synthetic Evaluation

Abstract To compensate for the lack of funds for investment in private sector and infrastructure projects, governments may propose public–private partnerships (PPPs) to be able to use share capital and establish the necessary infrastructure of the country. The current study was undertaken to identify and determine the risk factors in PPPs for water supply projects in Iran. After identifying the risk factors using failure mode and effect analysis (FMEA), the risk priority number of each was assessed. This identified the most critical risk factors, which were then categorized into experimental, legal, financial, and technological subcategories. The fuzzy synthetic evaluation (FSE) technique and FMEA method were then blended and the FSE technique was modified for measuring the overall risk level. The computational results show that the levels of risk were ranked as follows (highest to lowest): financial, experimental, technological and legal. The level of risk in the financial subcategory was 6.11, in the experimental was 6.05 and in the technological and legal was 5.94 and 5.83, respectively. The overall risk level in PPPs for Iranian water supply projects considering linguistic variables as the criteria was 5.98, which is high. This level of risk confirms the applicability and suitability of the model.

scholarly journals Assessment and Risk Management of Potential Hazards by Failure Modes and Effect Analysis (FMEA) Method in Yazd Steel Complex

2014 ◽  
Vol 04 (03) ◽  
pp. 127-135 ◽  
Author(s):  
Mehrzad Ebrahemzadih ◽  
G. H. Halvani ◽  
Behzad Shahmoradi ◽  
Omid Giahi
Keyword(s):  
Risk Management ◽  
Failure Modes ◽  
Effect Analysis ◽  
Fmea Method

scholarly journals Identifikasi Potensi Modus Kegagalan Yang Dapat Menghambat Kelancaran Proses Pelayanan Rawat Jalan Menggunakan Failure Mode Effect Analysis (FMEA) Di Rumah Sakit BM Jakarta Barat

2020 ◽  
Vol 8 (2) ◽  
pp. 105-113
Author(s):  
Achmaddudin Sudiro
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Outpatient Service ◽  
Outpatient Services ◽  
Effect Analysis ◽  
Outpatient Unit ◽  
Mode Effect ◽  
Potential Failure ◽  
Fmea Method ◽  
Failure Mode Effect Analysis

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.

scholarly journals Analisa defect produk sheet area corrugator 301 menggunakan metode SPC dan FMEA di PT Indah Kiat

2020 ◽  
Vol 12 (3) ◽  
pp. 332
Author(s):  
Evan Mandala Putra ◽  
Sri Mukti Wirawati ◽  
Pugy Gautama
Keyword(s):  
Process Control ◽  
Production Process ◽  
Statistical Process Control ◽  
Failure Mode ◽  
Failure Modes ◽  
Uneven Surface ◽  
Statistical Process ◽  
Effect Analysis ◽  
Product Defect ◽  
Fmea Method

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.

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