An integrated FMEA approach using Best-Worst and MARCOS methods based on D numbers for prioritization of failures

Failure modes and effects analysis (FMEA) is a useful reliability analysis technique to identify potential failure modes in a wide range of industries. However, the conventional FMEA method is deficient in dealing with the risk evaluation and prioritization method. To overcome the shortcomings, this paper presents a new risk priority model using Best-Worst Method based on D numbers (D-BWM) and the Measurement of Alternatives and Ranking according to COmpromise Solution based on D numbers (D-MARCOS). First, D numbers are used to deal with the uncertainty of FMEA team members’ subjective judgment. Second, the distance-based method is proposed to determine the objective weight of each team member. Then, the D-BWM was used to determine the weight of risk factors. The combination rule of D number theory combined the evaluation information of multiple members into group opinions. Finally, D-MARCOS method is proposed to obtain the risk priority of the failure modes. An example and the results of comparative analysis show the method is effective.

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A Case Study on Improving Intensive Care Unit (ICU) Services Reliability: By Using Process Failure Mode and Effects Analysis (PFMEA)

Global Journal of Health Science ◽

10.5539/gjhs.v8n9p207 ◽

2016 ◽

Vol 8 (9) ◽

pp. 207 ◽

Cited By ~ 5

Author(s):

Taraneh Yousefinezhadi ◽

Farnaz Attar Jannesar Nobari ◽

Faranak Behzadi Goodari ◽

Mohammad Arab

Keyword(s):

Intensive Care ◽

Human Error ◽

Failure Modes ◽

Classification Model ◽

Group Discussions ◽

Team Members ◽

Acceptable Risks ◽

Process Failure ◽

Potential Failure ◽

Fmea Method

INTRODUCTION: In any complex human system, human error is inevitable and shows that can’t be eliminated by blaming wrong doers. So with the aim of improving Intensive Care Units (ICU) reliability in hospitals, this research tries to identify and analyze ICU’s process failure modes at the point of systematic approach to errors.METHODS: In this descriptive research, data was gathered qualitatively by observations, document reviews, and Focus Group Discussions (FGDs) with the process owners in two selected ICUs in Tehran in 2014. But, data analysis was quantitative, based on failures’ Risk Priority Number (RPN) at the base of Failure Modes and Effects Analysis (FMEA) method used. Besides, some causes of failures were analyzed by qualitative Eindhoven Classification Model (ECM).RESULTS: Through FMEA methodology, 378 potential failure modes from 180 ICU activities in hospital A and 184 potential failures from 99 ICU activities in hospital B were identified and evaluated. Then with 90% reliability (RPN≥100), totally 18 failures in hospital A and 42 ones in hospital B were identified as non-acceptable risks and then their causes were analyzed by ECM.CONCLUSIONS: Applying of modified PFMEA for improving two selected ICUs’ processes reliability in two different kinds of hospitals shows that this method empowers staff to identify, evaluate, prioritize and analyze all potential failure modes and also make them eager to identify their causes, recommend corrective actions and even participate in improving process without feeling blamed by top management. Moreover, by combining FMEA and ECM, team members can easily identify failure causes at the point of health care perspectives.

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

SAMRIDDHI A Journal of Physical Sciences Engineering and Technology ◽

10.18090/samriddhi.v8i2.7139 ◽

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.

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

Jurnal Manajemen Kesehatan Indonesia ◽

10.14710/jmki.8.2.2020.105-113 ◽

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.

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Risk Assessment for Failure Mode and Effects Analysis Using the Bonferroni Mean and TODIM Method

Mathematics ◽

10.3390/math7060536 ◽

2019 ◽

Vol 7 (6) ◽

pp. 536 ◽

Cited By ~ 2

Author(s):

Jianghong Zhu ◽

Bin Shuai ◽

Rui Wang ◽

Kwai-Sang Chin

Keyword(s):

Risk Assessment ◽

Failure Mode ◽

Failure Modes ◽

Bonferroni Mean ◽

Psychological Behavior ◽

Analysis Technique ◽

Safety And Reliability ◽

Preference Interdependence ◽

Fmea Method ◽

Grey Relational

As a safety and reliability analysis technique, failure mode and effects analysis (FMEA) has been used extensively in several industries for the identification and elimination of known and potential failures. However, some shortcomings associated with the FMEA method have limited its applicability. This study aims at presenting a comprehensive FMEA model that could efficiently handle the preference interdependence and psychological behavior of experts in the process of failure modes ranking. In this model, a linguistic variable expressed by the interval-valued Pythagorean fuzzy number (IVPFN) is utilized by experts to provide preference information with regard to failure modes’ evaluation and risk factors’ weight. Then, to depict the interdependent relationships between experts’ preferences, the Bonferroni mean operator is extended to IVPFN to aggregate the experts’ preference. Subsequently, an extended TODIM approach in which the dominance degree of failure modes is calculated by grey relational analysis is utilized to determine the risk priority of failure modes. Finally, a practical example concerning the risk assessment of a nuclear reheat valve system is provided to demonstrate the effectiveness and feasibility of the presented method. In addition, a sensitivity analysis and comparison analysis are conducted, and the results show that the preference interdependence and psychological behavior of experts have an important effect on the risk priority of failure modes.

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Failure Modes and Effects Analysis (FMEA) for evaluation of a sugarcane machine failure

MATEC Web of Conferences ◽

10.1051/matecconf/201820401012 ◽

2018 ◽

Vol 204 ◽

pp. 01012

Author(s):

Hilma Raimona Zadry ◽

Dendi Adi Saputra ◽

Agung Budiman Tabri ◽

Difana Meilani ◽

Dina Rahmayanti

Keyword(s):

Failure Modes ◽

Design Stage ◽

Preliminary Treatment ◽

Risk Priority Number ◽

Ergonomic Design ◽

Machine Maintenance ◽

Machine Failure ◽

Potential Failure ◽

Fmea Method ◽

Causes Of Failure

The Failure Modes and Effects Analysis (FMEA) method has been widely recognized as a tool that systematically identifies the consequences and failures of the system or process, and reduces or eliminates the chances of the failure. This study applies that method to evaluate the causes of failure in the use of sugarcane machine that have been designed in the previous studies. FMEA approach anticipated the failures at the design stage, so that a more reliable and ergonomic design can be produced for future sugarcane machine. The potential failure identified from the machine consists of capacity issues, machine maintenance, preliminary treatment, and procedures of use. The study found that capacity issues are the priority problems that cause the machine failure. Then, this study proposed some actions to reduce the risk priority number (RPN) on 12 failures.

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Managing the Unpredictable

Mechanical Engineering ◽

10.1115/1.2008-mar-2 ◽

2008 ◽

Vol 130 (03) ◽

pp. 27-31 ◽

Cited By ~ 2

Author(s):

Robert Bea

Keyword(s):

Quality Control ◽

Failure Modes ◽

Symphony Orchestra ◽

Pediatric Emergency ◽

Hierarchical Organization ◽

Team Members ◽

Proactive Approach ◽

Potential Failure ◽

Engineered Systems ◽

Hospital Pediatric

This paper focuses on case studies regarding Seattle Symphony and hospital pediatric emergency warts for handling the unpredictable situations in different fields. A symphony orchestra is the model of hierarchical organization. The paper emphasizes that the proactive approach attempts to eliminate or mitigate potential failure modes and their consequences through design and training. The reactive approach seeks to learn from previous failures. The paper also discusses that quality assurance is proactive, done before an activity to realize quality goals. Quality control is interactive, undertaken during an activity to ensure that plans achieve the desired result. We can envision interactive crisis management as lifecycle quality control processes that help achieve target quality and reliability in engineered systems. Through hospital emergency study, successful teams transitioned seamlessly from their highly structured everyday organization into loosely structured teams during emergencies. Heedful and respectful interactions characterized the pediatric teamwork. Because they had worked together so long, team members could almost read one another&s minds.

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An Intuitionistic Evidential Method for Weight Determination in FMEA Based on Belief Entropy

Entropy ◽

10.3390/e21020211 ◽

2019 ◽

Vol 21 (2) ◽

pp. 211 ◽

Cited By ~ 6

Author(s):

Zeyi Liu ◽

Fuyuan Xiao

Keyword(s):

Decision Making ◽

Failure Modes ◽

Evidence Theory ◽

Team Members ◽

Domain Experts ◽

Open Issue ◽

Belief Entropy ◽

Potential Failure ◽

The Impact ◽

Effective Analysis

Failure Mode and Effects Analysis (FMEA) has been regarded as an effective analysis approach to identify and rank the potential failure modes in many applications. However, how to determine the weights of team members appropriately, with the impact factor of domain experts’ uncertainty in decision-making of FMEA, is still an open issue. In this paper, a new method to determine the weights of team members, which combines evidence theory, intuitionistic fuzzy sets (IFSs) and belief entropy, is proposed to analyze the failure modes. One of the advantages of the presented model is that the uncertainty of experts in the decision-making process is taken into consideration. The proposed method is data driven with objective and reasonable properties, which considers the risk of weights more completely. A numerical example is shown to illustrate the feasibility and availability of the proposed method.

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Study about Improving the Quality Process Performance for a Steel Structures Components Assembly Using FMEA Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.822.429 ◽

2016 ◽

Vol 822 ◽

pp. 429-436 ◽

Cited By ~ 3

Author(s):

Cristina Ileana Pascu ◽

Daniel Paraschiv

Keyword(s):

Failure Modes ◽

Action Plan ◽

Steel Structures ◽

Maintenance Program ◽

Working People ◽

Potential Failure ◽

Fmea Method ◽

Quality Of Products

Analysis of failure modes and effects (FMEA) is a method of analyzing the potential failure of a product or process, to develop an action plan aimed at their prevention and increased quality of products, processes and job production environments. As a method of critical analysis, FMEA has very clear objectives aimed at: determination of the weaknesses of a technical system; initiating causes of failure-seeking components; analysis environmental impacts, safety of operation, the product value; provision of corrective actions to remove the causes of the occurrence of defects; provision of a plan to improve product quality and maintenance; determining the needs of technology and modernization of production; increasing the level of communication between departments working people hierarchical levels. FMEA should be used before taking the product. There is no point subsequently, only because customer demands, to achieve FMEA. Therefore, FMEA must be within organizational conduct. Using timely analysis FMEA - Process avoid costly modifications of the technological achievement assembly "stator Housing" by identifying potential defects, avoidance and risk and potential consequences of faults. We studied the potential causes of defects and have proposed improvements. Among these are: implementing and tracking preventive maintenance program; providing specific compliance welding; acquisition of a specialized table seating and download the blank; purchasing a scarfing machine.

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Mechanical analysis and failure modes prediction of composite rock under uniaxial compression

Scientific Reports ◽

10.1038/s41598-021-02331-x ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Jianguang Li ◽

Zhuoqun Yu ◽

Ziyi Zhou ◽

Yanchun Wang ◽

Jiwei Li

Keyword(s):

Mechanical Properties ◽

Stress Distribution ◽

Uniaxial Compression ◽

Construction Projects ◽

Failure Modes ◽

Mechanical Analysis ◽

Compression Tests ◽

Wide Range ◽

Potential Failure ◽

Thin Interlayer

AbstractComposite rocks are easily encountered in a wide range of geotechnical construction projects. Understanding their mechanical properties and failure modes is very important to ensure project quality and safety. This study conducted a mechanical analysis to assess the stress distribution in composite rock with a horizontal interlayer and predicted the possible failure modes. Uniaxial compression tests were carried out on the composite rock samples to reveal their mechanical properties. It was concluded that a composite rock with a thick interlayer failed more easily than a composite rock with a thin interlayer. Four potential failure modes were related to the internal stress distribution under compression and the differences in deformation capacity and strength among the constituent components. The stress distribution derived from the mechanical analysis could explain the failure mechanism very well. These results verified the validity of the mechanical analysis results and improved understanding of the mechanical properties of composite rock with a horizontal interlayer.

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Risk Reduction of Healthcare Workers’ Exposure to COVID-19 using Failure Mode and Effect Analysis

International Journal of Research and Review ◽

10.52403/ijrr.20210761 ◽

2021 ◽

Vol 8 (7) ◽

pp. 436-445

Author(s):

Humberto Guanche Garcell ◽

Farid Ahmad Sohail ◽

Tania M Fernandez Hernandez

Keyword(s):

Infection Control ◽

Failure Mode ◽

Failure Modes ◽

Risk Mitigation ◽

Mitigation Strategies ◽

Mitigation Measures ◽

Risk Environment ◽

Effect Analysis ◽

Wide Range ◽

Potential Failure

Background: The exposure to COVID-19 by staff has a major impact on healthcare system. Objective: identify potential failures related to the exposure of HCWs to COVID-19, evaluate the potential causes and effects, and the actions to mitigate the risk of exposure. Methods: Members of the infection control department, quality department, nursing department, and medical administration were selected as team members to conduct the Failure Mode and Effect Analysis (FMEA). The identification of potential failure modes, causes and effects was conducted in consecutive meetings. Accordingly, were identified actions to reduce the staff exposure to COVID-19. Results: The description of the complex process was conducted including the potential in-hospital and hospital-community interaction for transmission of infection to staff. In eight areas were identified 20 potential failure modes: Hand hygiene, personal protective equipment, detection of sick staff, exposure in common areas, hiring new staff, staff living conditions, and staff knowledge, skill, and perceptions about all other infection control practices. The highest ranked priorities were identified including improper PPE use (556 points), late detection of sick staff (520 points), and poor compliance with infection control practices in common areas (436 points) respectively. The mitigation strategies focused on a wide range of actions to improve the staff education, improve practices and procedures, monitor practices and feedback to staff in a continuous quality improvement cycle. Conclusion: Data presented provides a comprehensive evaluation of the risks and mitigation measures to prevent the staff exposure to COVID-19 conducted in a high-risk environment by a qualified FMEA team. Keywords: failure modes and effect analysis; quality management; risk mitigation; staff exposure; COVID-19; Qatar;

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