Academic literature on the topic 'Failure mode and effects analysis (FMEA)'

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Journal articles on the topic "Failure mode and effects analysis (FMEA)"

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Alruqi, Mansoor, Martin Baumers, David Branson, and Robert Farndon. "A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis." Management Systems in Production Engineering 29, no. 3 (June 24, 2021): 165–77. http://dx.doi.org/10.2478/mspe-2021-0021.

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Abstract Failure Mode and Effects Analysis (FMEA) is a systematic approach for evaluating the potential failure modes in a system, and is mainly employed in three distinct tasks labelled: (1) Functional FMEA – evaluating those failures associated with product functional definition, (2) Design FMEA – analysing those failures associated with design definition and (3) Process FMEA – assessing potential failures in manufacturing and assembly processes. The literature review has shown limited works on the field of synchronising these different tasks into a working model. To address this gap, this research developed a framework for integrating these tasks of FMEAs, and then qualitatively validating the proposed framework. This research adopted a semi-structured questionnaire to collect experts’ feedback and validate the proposed framework. The t-test was then employed to evaluate the collected feedback. The findings highlight that the proposed framework is applicable and could facilitate the synchronisation of the different tasks of FMEA. This research presents a methodological approach for executing and synchronising FMEAs. Therefore, the proposed framework is practically relevant as an aid for the practitioners in catching the cascading failures and reducing the relevant impact.
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BOUTI, ABDELKADER, and DAOUD AIT KADI. "A STATE-OF-THE-ART REVIEW OF FMEA/FMECA." International Journal of Reliability, Quality and Safety Engineering 01, no. 04 (December 1994): 515–43. http://dx.doi.org/10.1142/s0218539394000362.

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The Failure Mode and Effects Analysis (FMEA) documents single failures of a system, by identifying the failure modes, and the causes and effects of each potential failure mode on system service and defining appropriate detection procedures and corrective actions. When extended by Criticality Analysis procedure (CA) for failure modes classification, it is known as Failure Mode Effects and Criticality Analysis (FMECA). The present paper presents a literature review of FME(C)A, covering the following aspects: description and review of the basic principles of FME(C)A, types, enhancement of the method, automation and available computer codes, combination with other techniques and specific applications. We conclude with a discussion of various issues raised as a result of the review.
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Krouwer, Jan S. "An Improved Failure Mode Effects Analysis for Hospitals." Archives of Pathology & Laboratory Medicine 128, no. 6 (June 1, 2004): 663–67. http://dx.doi.org/10.5858/2004-128-663-aifmea.

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Abstract Objective.—To review the Failure Mode Effects Analysis (FMEA) process recommended by the Joint Commission on Accreditation of Health Organizations and to review alternatives. This reliability engineering tool may be unfamiliar to hospital personnel. Data Sources.—Joint Commission on Accreditation of Health Organizations recommendations, Mil-Std-1629A, and other articles about FMEA were used. Study Selection.—The articles were selected by a literature search that included Web site–accessible material. Data Extraction.—All articles found were used. Data Synthesis.—The results are based on the articles cited and the author's experience in conducting FMEAs in the medical diagnostics industry. Conclusions.—Fault trees and a list of quality system essentials are recommended additions to the FMEA process to help identify failure mode effects and causes. Neglecting mitigations for failure modes that have never occurred is a possible danger when too much emphasis is placed on improving risk priority numbers. A modified Pareto, not based on the risk priority number, is recommended when there are qualitatively different failure mode effects with different severities. Performing a FMEA that both meets accreditation requirements and reduces the risk of medical errors is an attainable goal, but it may require a different focus.
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Price, C. J., J. E. Hunt, M. H. Lee, and A. R. T. Ormsby. "A Model-Based Approach to the Automation of Failure Mode Effects Analysis for Design." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 206, no. 4 (October 1992): 285–91. http://dx.doi.org/10.1243/pime_proc_1992_206_189_02.

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This paper describes the application of model-based technology in the area of failure mode effects analysis (FMEA). FMEA involves the repetitive application of engineering expertise, and so would seem to be a promising target for automation through knowledge-based systems (KBS) technology. However, in order to decide what would be the effect of a failure in a sub-system, it is necessary to reason about the structure of the sub-system being investigated and to be able to represent and reason about different facets of the way in which the sub-system works. The difficulty of automating this analysis of failure effects for new designs has meant that, in general, automation of the FMEA task has concentrated on only the clerical aspects of FMEA—helping the human expert to keep track of which possible failures have been analysed. The work described in this paper automates the analysis phase of the FMEA process. This should enable the development of computerized aids for the FMEA engineer which will eliminate much of the tediousness of the task.
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Roy, Soumen Kumar, A. K. Sarkar, and Biswajit Mahanty. "Fuzzy risk assessment for electro-optical target tracker." International Journal of Quality & Reliability Management 33, no. 6 (June 6, 2016): 830–51. http://dx.doi.org/10.1108/ijqrm-03-2015-0034.

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Purpose – The purpose of this paper is to evolve a guideline for scientists and development engineers to the failure behavior of electro-optical target tracker system (EOTTS) using fuzzy methodology leading to success of short-range homing guided missile (SRHGM) in which this critical subsystems is exploited. Design/methodology/approach – Technology index (TI) and fuzzy failure mode effect analysis (FMEA) are used to build an integrated framework to facilitate the system technology assessment and failure modes. Failure mode analysis is carried out for the system using data gathered from technical experts involved in design and realization of the EOTTS. In order to circumvent the limitations of the traditional failure mode effects and criticality analysis (FMECA), fuzzy FMCEA is adopted for the prioritization of the risks. FMEA parameters – severity, occurrence and detection are fuzzifed with suitable membership functions. These membership functions are used to define failure modes. Open source linear programming solver is used to solve linear equations. Findings – It is found that EOTTS has the highest TI among the major technologies used in the SRHGM. Fuzzy risk priority numbers (FRPN) for all important failure modes of the EOTTS are calculated and the failure modes are ranked to arrive at important monitoring points during design and development of the weapon system. Originality/value – This paper integrates the use of TI, fuzzy logic and experts’ database with FMEA toward assisting the scientists and engineers while conducting failure mode and effect analysis to prioritize failures toward taking corrective measure during the design and development of EOTTS.
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Haktanır, Elif, and Cengiz Kahraman. "Interval-valued neutrosophic failure mode and effect analysis." Journal of Intelligent & Fuzzy Systems 39, no. 5 (November 19, 2020): 6591–601. http://dx.doi.org/10.3233/jifs-189121.

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Failure mode and effects analysis (FMEA) is a structured approach for discovering possible failures that may occur in the design of a product or process. Since classical FMEA is not sufficient to represent the vagueness and impreciseness in human decisions and evaluations, many extensions of ordinary fuzzy sets such as hesitant fuzzy sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets, spherical fuzzy sets, and picture fuzzy sets. Classical FMEA has been handled to capture the uncertainty through these extensions. Neutrosophic sets is a different extension from the others handling the uncertainty parameters independently. A novel interval-valued neutrosophic FMEA method is developed in this study. The proposed method is presented in several steps with its application to an automotive company in order to prioritize the potential causes of failures during the design process by considering multi-experts’ evaluations.
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Pino, Felicity A., Darcy K. Weidemann, Lisa L. Schroeder, Damon B. Pabst, and Audrey R. Kennedy. "Failure mode and effects analysis to reduce risk of heparin use." American Journal of Health-System Pharmacy 76, no. 23 (October 17, 2019): 1972–79. http://dx.doi.org/10.1093/ajhp/zxz229.

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Abstract Purpose Failure mode and effects analysis (FMEA) was used to identify safety risks of unfractionated heparin (UFH) use and to develop and implement countermeasures to improve safety. Methods FMEA was used to analyze the transportation, preparation, dispensation, administration, therapeutic monitoring, and disposal of UFH in a tertiary care, freestanding pediatric hospital. The FMEA was conducted in a stepwise fashion. First, frontline staff mapped the different steps within the UFH use process. Next, key stakeholders identified potential failures of each process step. Finally, using calibrated scales, the stakeholders ranked the likelihood of occurrence, severity, and detectability for each potential failure’s cause. The rankings were used to prioritize high-risk areas on which to focus efforts for improvement countermeasures. Results The analysis revealed 233 potential failures and 737 unique potential causes. After ranking of all identified potential causes, 45 were deemed high scoring. Those 45 causes were further refined into 13 underlying contributing causes. To address the contributing causes, selected team members developed 22 countermeasures. The FMEA showed that implementation of the countermeasures reduced the level of mathematical risk. Conclusion FMEA was helpful in identifying, ranking, and prioritizing medication risks in the UFH use process. Twenty-two countermeasures were developed to reduce potential for error in the riskiest steps of the process.
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Shi, Jun Li, Hong Wei Qu, Ya Jun Wang, Yan Qiu Liu, Ke Xin Wang, and Jia Lin Li. "Application of Improved Failure Modes and Effects Analysis in Product Reliability Analysis." Advanced Materials Research 926-930 (May 2014): 3438–41. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3438.

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On the analysis of the disadvantage of traditional Failure Mode and Effect Analysis (FMEA), an improved FMEA based on fuzzy set theory and Analytical Hierarchy Process (AHP) is proposed. In this method, the fuzzy language set and the fuzzy number of Severity (S), Occurrence (O) and Detection (D) are firstly set up, then failure modes are evaluated, and finally the weights of S, O and D are determined by AHP. So, risk priorities of the failure modes can be determined by calculating the modified Risk Priority Number (RPN). Improved FMEA could provide a method for the company to evaluate the reliability analysis of products.
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Dong, Yu Liang, Ye Su, and Cheng Bing He. "Wind Turbine Risk Assessment Using Modified Failure Mode and Effects Analysis." Applied Mechanics and Materials 385-386 (August 2013): 1141–44. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1141.

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Aiming at the problem that the failure history data available from wind turbine are scarce and often accompanied with a high degree of uncertainty, the risk assessment using traditional failure mode and effects anaysis (FMEA) may not be well-suited. A wind turbine risk assessment method based on modified FMEA is proposed. The method introduces grey theory into traditional FMEA and use the degree of relation to rank risk level. The method is then used to assess the risk of a 1.5MW wind turbine. It is proved that this method can rank the risks of main failure modes.The assessment results can be used as a support for risk based maintenance decisions.
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Zheng, Haixia, and Yongchuan Tang. "Deng Entropy Weighted Risk Priority Number Model for Failure Mode and Effects Analysis." Entropy 22, no. 3 (February 28, 2020): 280. http://dx.doi.org/10.3390/e22030280.

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Failure mode and effects analysis (FMEA), as a commonly used risk management method, has been extensively applied to the engineering domain. A vital parameter in FMEA is the risk priority number (RPN), which is the product of occurrence (O), severity (S), and detection (D) of a failure mode. To deal with the uncertainty in the assessments given by domain experts, a novel Deng entropy weighted risk priority number (DEWRPN) for FMEA is proposed in the framework of Dempster–Shafer evidence theory (DST). DEWRPN takes into consideration the relative importance in both risk factors and FMEA experts. The uncertain degree of objective assessments coming from experts are measured by the Deng entropy. An expert’s weight is comprised of the three risk factors’ weights obtained independently from expert’s assessments. In DEWRPN, the strategy of assigning weight for each expert is flexible and compatible to the real decision-making situation. The entropy-based relative weight symbolizes the relative importance. In detail, the higher the uncertain degree of a risk factor from an expert is, the lower the weight of the corresponding risk factor will be and vice versa. We utilize Deng entropy to construct the exponential weight of each risk factor as well as an expert’s relative importance on an FMEA item in a state-of-the-art way. A case study is adopted to verify the practicability and effectiveness of the proposed model.
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Dissertations / Theses on the topic "Failure mode and effects analysis (FMEA)"

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Baitar, Rami. "Riskanalys av elsystem med funktions-FMEA." Thesis, KTH, Data- och elektroteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146712.

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Riskanalysverktyget failure mode and effects analysis (FMEA) som analyserar kompo-nenter och signaler är beroende av att designen av fordonets elsystem finns tillgängligt och utförs därför sent i utvecklingsprocessen av elsystem. Detta medför att vissa fel inte analyseras i tid och kanske måste designas bort i efterhand vilket kan leda till ökad sy-stemkomplexitet samt längre och dyrare utvecklingsprocesser.Målet med examensarbetet är att genom en litteraturstudie ta reda på om det finns me-toder eller arbetssätt som gör att Scania tidigt i utvecklingsprocessen av elsystem kan genomföra funktionsanalyser i sitt riskanalysarbete med FMEA samt analysera dessa.Resultatet av detta examensarbete visar att det är möjligt att påbörja FMEA-arbetet tidigt i utvecklingsprocessen av elsystem om ingenjörerna utgår från ett funktionsperspektiv i riskanalysarbetet där de listar och rangordnar de funktioner som tillsammans realiserar en eller flera funktionaliteter samt deras felmoder, feleffekter, feldetektering, allvarlighet, sannolikhet och frekvens. Med hjälp av en FFMEA kan ingenjörerna tidigt i utveck-lingsprocessen av elsystem snabbt och effektivt hantera de identifierade säkerhetskritiska funktionerna.En befintlig funktionalitet på Scania har brutits ned i funktioner och en FFMEA har genomförts på dessa som en demonstration på hur en FFMEA kan genomföras och se ut.
The risk analysis tool failure mode and effects analysis (FMEA) that analyzes the com-ponents and signals of a electrical system is design dependent and are therefore per-formed late in the development process of electrical systems. This could lead to that some errors are not analyzed in time and may need to be designed away which can lead to increased system complexity as well as longer and more expensive development proc-esses.The objective of this study is that through a literature review identify if there are any methods or approaches that enables Scania to implement a functional hazard analyzes early in the development process of electrical systems and to analyze these.The results of this thesis shows that it is possible to start the FMEA process early in the development process of the electrical system if the engineers have a functional perspec-tive in mind when performing the risk analysis where they list and rank the functions that is provided by the electrical system and their failure modes, failure effects, failure de-tection, severity, probability and occurrence.By using a function based FMEA, the engineer(s) can identify and promptly handle the safety critical functions early in the development process of a electrical system.A existing functionality at Scania has been broken down into functions and a functional hazard analysis has been performed on these as a demonstration of how a function based FMEA can be carried out and look like.
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Shebl, Nada Atef. "Promoting patient safety using Failure Mode and Effect Analysis (FMEA)." Thesis, University College London (University of London), 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.517951.

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Goodland, James. "The Development of a Manufacturing Failure Mode Avoidance Framework for Aerospace Manufacturing." Thesis, University of Bradford, 2016. http://hdl.handle.net/10454/16280.

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In order to remain competitive in the global market businesses are under ever increasing pressure to ramp up production rates whilst simultaneously improving cost effectiveness to allow continued profitable growth. This requirement is particularly challenging in high value manufacturing which is characterised by expensive product and manufacturing systems and relatively low production volume. This thesis introduces a method for the design of robust and reliable manufacturing processes through the prevention of identified potential failure modes that is based on the principles of the existing Failure Mode Avoidance framework used for automotive system design. The tools and techniques that exist in the literature are reviewed in order to understand the best practice, and subsequently a Manufacturing Failure Mode Avoidance framework is designed. This framework is demonstrated through two unique case studies conducted in a real life manufacturing environment in order to validate its appropriateness to provide robust countermeasures to failure which will allow right first time manufacture. The outcomes of the implementations are discussed, conclusions drawn and opportunities for further research are provided.
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Düsing, Christa, and David Prust. "Supplementary failure mode and effect analysis (FMEA) for safety application standards DIN EN ISO 13849 safety function-fmea." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71272.

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In the automotive industry, the Safety Function-FMEA according to ISO 26262 and its application to functional safety relevant systems is a well-established process in the form of Automotive Safety Integrity Levels (ASILs). These represent the failure mitigation that must be applied to ensure an acceptable residual risk of malfunctioning behaviour. The DIN EN ISO 13849 (ISO 13849) already describes a process to reduce risks for machines which starts with a Hazard And Risk Analysis (HARA) as described in DIN EN ISO 12100 and concludes with the Safety Requirements Specification (SRS). The SRS is a functional and technical safety concept defining requirements and guidelines to make sure the design conforms to defined safety goals. ISO 13849 lists important faults and failures for various technologies. The defined Safety Functions (SFs) can be classified in corresponding categories that lead to the particular hardware/system structure. This applies to mechatronic systems consisting of at least one sensor, one control unit and one actuator to monitor the system and effect a response in case of failure. Compared to the methods described in ISO 13849, the Safety Function-FMEA allows systematic identification of additional failures resulting from combinations of effects, rather than only listing the main failure causes. Based on the complexity of the machines it is highly recommended to perform a Safety Function-FMEA as a complementary method to assess and improve the overall safety of machinery.
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Ferroni, Matteo Alberto <1985&gt. "ESEO spacecraft: FMEA (Failure Mode and Effects Analysis) and FDIR (Fault Detection Isolation and Recovery)." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7455/.

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The purpose of the present doctoral activities concern the reliability of electronic systems and their fault tolerance. The main field of application whose is addressed this research is the aerospace industry, in particular it has been developed around the E.S.E.O. (European Student Earth Orbiter) spacecraft/mission. The implementation of COTS (Components Off The Shell) electronic components, military industrial grade, ensured a considerable saving in terms of costs with minimal impact on the final performance of the system. In order to reach the objective: the mission success (operative spacecraft for at least six months), it has been performed an FMEA analysis at system and subsystem level and a full test campaign useful to define and develop the hierarchical and distributed FDIR strategy here exposed.
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Fraracci, Alessandro. "Model-based failure-modes-and-effects analysis and its application to aircraft subsystems /." Heidelberg : Akad. Verl.-Ges. [u.a.], 2010. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=018771234&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Rehman, Anique Ur. "Object Oriented Failure Mode and Effect Analysis (OO-FMEA) : Analysis on Cooling System in Hybrid Vehicles." Thesis, Karlstads universitet, Avdelningen för fysik och elektroteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-36683.

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Development of fault free systems and their risk assessment, in early phase of development were set in 1950s, which later on used as standardise techniques for safety and reliability issues in products. Failure Modes and Effect Analysis (FMEA) introduced as one of them and still considers a much reliable technique to identify and mitigate risks in early phase of system designing even though systems become complex now days. This report presents an extension to Failure Mode and Effect Analysis (FMEA), in such a way that it can be applied for safety analysis of complex systems; both for hardware and software development using object oriented approach. A systematic approach for validation and identification of failure modes were used in this method using system architecture; a complete boundary diagram with the behaviour of the system in logical, physical and attribute objects. Behaviour of selected objects were analysed using FMEA methodology with the help of system designing team, where validation and verification processes highlights possibility of redesigning or modifying component. Cabin cooling system for hybrid vehicle is used as a case study for this purpose.
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Gonçalves, Arnaldo. "Um estudo da implementação da FMEA (failure mode and effects analysis) sob a otica de gerenciamento de projetos." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264207.

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Orientador: Olivio Novaski
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica
Made available in DSpace on 2018-08-07T00:10:30Z (GMT). No. of bitstreams: 1 Goncalves_Arnaldo_M.pdf: 2118819 bytes, checksum: 0c6234f8bc0c2d10c55247144bce90c4 (MD5) Previous issue date: 2006
Resumo: A busca contínua pela melhoria de desempenho de produtos, processos, sistemas e serviços, têm obrigado as organizações a experimentar metodologias que gerem melhores índices de desempenho. Aspectos relativos a prazos, custos, qualidade, flexibilidade e confiabilidade são vitais para garantir um diferencial que permita a sua sobrevivência no mercado. A técnica FMEA (Failure Mode and Effect Anaíysis), pela sua relevância em catalisar os processos de entrada (inputs) e os processos de saída {outputs) dos sistemas modernos de administração da ualidade, é vital para o sucesso dos mesmos. A implantação eficaz da FMEA é complexa devido à multidisciplinaridade e às muitas interações necessárias entre os processos, para assegurar que os requisitos dos clientes sejam transformados em características do produto ou serviço. Os objetivos deste trabalho foram: (i) em primeira instância, estudar o estado da arte da técnica FMEA, verificando as interfaces necessárias que garantam a sua efetividade em um sistema de garantia da qualidade e (ii) aplicar e avaliar a contribuição da metodologia de Gerenciamento de Projetos na implantação de uma FMEA, considerando-a como um projeto. O estudo de caso foi realizado em uma empresa do setor automotivo, definindo e monitorando a eficiência da FMEA caracterizada por sessões produtivas e em tempo certo, e a sua eficácia representada pela influência nos custos da qualidade, conformidade do produto e satisfação dos clientes. Os resultados positivos e expressivos obtidos desde a aplicação dos processos do gerenciamento e projetos encorajam o uso desta abordagem na implantação da FMEA para ampliar a sua efetividade
Abstract: The continuous seeking for improvements in products, processes, systems and services, stressed by the fast growing competition, has led the organizations to experiment methodologies which can improve performance figures. Aspects related to costs, timing, quality, flexibility and reliability, are strategic in assuring a differential to survive in the business, with higher competitiviry. These demands oblige the organizations to consider more integration among areas, transcending the technical character to a more holistic approach. The FMEA methodology by providing a linking among a quality management system input and output process is considered by many quality management systems, mandatory and of high relevance. The FMEA implementation is quite complex as involves effective interaction among distinct elements, to assure the customers needs fulfilling through the product or service characteristics. The aims of this work were: (i) in the first instance, to study the state of the art of the FMEA technique, by checking the strategic interfaces with other tools to assure its effectiveness under a quality management system and (ii) to apply and evaluate the contribution of Project Management methodology in the implementation of a FMEA, focusing it as a project. A case study was made in an automotive parts industry, defining and monitoring the FMEA efficiency characterized by productive and in time sessions as well as its efficacy, represented by its influence in quality costs, products conformance and customer satisfaction. The positive and significant results obtained since the application of the new project management processes, encourage the use of this approach in the FMEA implementation to boost its effectiveness
Mestrado
Engenharia de Fabricação
Mestre em Engenharia Mecânica
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Norton, Henry. "Process failure mode & effect analysis (FMEA)method for small to medium sized enterprises (SMES)." Thesis, University of Exeter, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.537876.

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Jidayi, Yakubu Mara. "Reliability improvement of railway infrastructure." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/97047.

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Thesis (MEng)--Stellenbosch University, 2015.
ENGLISH ABSTRACT: The railway transportation system is fundamental in sustaining the economic activities of a country, by providing a safe, reliable and relatively affordable means of transporting people and goods; hence, the need to ensure its ongoing reliability is of paramount importance. The principle and applications of rail reliability have been reviewed, and reliability improvement in rail infrastructure has been investigated using failure mode and effect analysis (FMEA). Reliability improvement is a continuous process that is geared to meeting dynamic changes in operation and stakeholders’ expectations. Recently, growth has occurred in the amount of rail transport traffic utilisation undertaken, together with the degradation of the infrastructure involved. Such deterioration has amplified the operating risks, leading to an inadequacy in rail track maintenance and inspection that should have kept abreast with the changes. The result has been increased rail failures, and subsequent derailments. A case study of the Passenger Rail Agency of South Africa (PRASA) Metrorail maintenance policy was reviewed to evaluate its maintenance strategy and identifying the potential critical failure modes, so as to be able to recommend improvement of its reliability, and, thus, its availability. On the basis of the case study of PRASA Metrorail maintenance strategy and its performance, it is recommended that PRASA Metrorail change its maintenance policy through employing a cluster maintenance strategy for each depot.
AFRIKAANSE OPSOMMING: Die spoorwegvervoerstelsel is fundamenteel om die ekonomiese bedrywighede van ’n land te ondersteun deur die voorsiening van ’n veilige, betroubare en betreklik bekostigbare manier om mense en goedere te vervoer. Dus is dit van die allergrootste belang om die voortgesette betroubaarheid daarvan te verseker. Die beginsels en toepassings van spoorbetroubaarheid is hersien en die betroubaarheidsverbetering van spoorinfrastruktuur met behulp van foutmodus-eneffekontleding (“FMEA”) ondersoek. Betroubaarheidsverbetering is ’n voortdurende proses om tred te hou met dinamiese bedryfsveranderinge sowel as verskuiwings in belanghebbendes se verwagtinge. Die hoeveelheid spoorvervoerverkeer het onlangs beduidend toegeneem, terwyl die betrokke infrastruktuur agteruitgegaan het. Dié agteruitgang het die bedryfsrisiko’s verhoog, en lei tot ontoereikende spoorweginstandhouding en -inspeksie, wat veronderstel was om met die veranderinge tred te gehou het. Dit gee aanleiding tot ’n toename in spoorwegfoute en gevolglike ontsporing. ’n Gevallestudie is van die instandhoudingsbeleid van die Passasierspooragentskap van Suid- Afrika (PRASA) Metrorail onderneem om dié organisasie se instandhoudingstrategie te beoordeel en die moontlike kritieke foutmodusse te bepaal. Die doel hiermee was om verbeteringe in stelselbetroubaarheid en dus ook stelselbeskikbaarheid voor te stel. Op grond van die gevallestudie van die PRASA Metrorail-instandhoudingstrategie en -prestasie, word daar aanbeveel dat PRASA Metrorail sy instandhoudingsbeleid verander deur ’n klusterinstandhoudingsplan vir elke depot in werking te stel.
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Books on the topic "Failure mode and effects analysis (FMEA)"

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Stamatis, D. H. Failure mode and effect analysis: FMEA from theory to execution. Milwaukee, Wisc: ASQC Quality Press, 1995.

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Stamatis, D. H. Failure mode and effect analysis: FMEA from theory to execution. 2nd ed. Milwaukee, WI: ASQ Quality Press, 2004.

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Stamatis, D. H. The ASQ pocket guide to failure mode and effect analysis (FMEA). Milwaukee, Wisconsin: ASQ Quality Press, 2014.

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Company, Ford Motor. Potential failure mode and effects analysis in design: (design FMEA) and for manufacturing and assembly processes(process FMEA) : instruction manual. [s.l.]: Ford Motor Company, 1988.

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Weeden, Marcia M. Failure mode and effects analysis (FMEAs)for small business owners and non-engineers: Determining and preventing what can go wrong. Milwaukee, WI: American Society for Quality, 2015.

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Carlson, Carl. Effective FMEAs: Achieving safe, reliable, and economical products and processes using failure mode and effects analysis. Hoboken, N.J: Wiley, 2012.

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Ann, Moore Rosemond, ed. Social responsibility: Failure mode effects and analysis. Boca Raton: Taylor & Francis, 2010.

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Duckworth, Holly Alison. Social responsibility: Failure mode effects and analysis. Boca Raton, FL: CRC Press/Taylor & Francis, 2010.

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Dale, Barrie G. Failure mode and effects analysis: A study of its use in the motor industry. Manchester: Manchester School of Management, 1989.

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1943-, Jongsma Arthur E., and Myer Rick, eds. The crisis counseling and traumatic events treatment planner. 2nd ed. Hoboken, N.J: Wiley, 2012.

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Book chapters on the topic "Failure mode and effects analysis (FMEA)"

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Göbel, A. "FMEA (Failure Mode and Effects Analysis)." In Risikomanagement und Fehlervermeidung im Krankenhaus, 115–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-38045-7_11.

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Issar, Gilad, and Liat Ramati Navon. "Failure Mode and Effect Analysis (FMEA)." In Management for Professionals, 37–39. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20699-8_9.

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Huang, George Q., and K. L. Mak. "Failure Mode and Effect Analysis (FMEA) Over the WWW." In Internet Applications in Product Design and Manufacturing, 135–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55778-1_9.

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Schmittner, Christoph, Thomas Gruber, Peter Puschner, and Erwin Schoitsch. "Security Application of Failure Mode and Effect Analysis (FMEA)." In Lecture Notes in Computer Science, 310–25. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10506-2_21.

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Park, Jeong-Hyun, Hoyon Kim, and Jong-Heung Park. "FMEA (Failure Mode Effect Analysis) for Maintenance of Mail Sorting Machine." In Communication and Networking, 555–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10844-0_65.

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Alhijazi, Mohamad, Qasim Zeeshan, and Hamed Ghasemian. "Failure Mode and Effect Analysis (FMEA) of Vertical Axis Wind Turbines." In Lecture Notes in Management and Industrial Engineering, 51–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42416-9_6.

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Signoret, Jean-Pierre, and Alain Leroy. "Failure Mode, Effects (and Criticality) Analysis, FME(C)A." In Springer Series in Reliability Engineering, 165–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64708-7_10.

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Zúñiga, Andrés A., João F. P. Fernandes, and P. J. Costa Branco. "A Fuzzy-Based Failure Modes and Effects Analysis (FMEA) in Smart Grids." In Advances in Intelligent Systems and Computing, 507–16. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11890-7_49.

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da Silva, Renan Favarão, and Marco Aurélio de Carvalho. "Anticipatory Failure Determination (AFD) for Product Reliability Analysis: A Comparison Between AFD and Failure Mode and Effects Analysis (FMEA) for Identifying Potential Failure Modes." In Advances in Systematic Creativity, 181–200. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78075-7_12.

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Balaraju, J., M. Govinda Raj, and Ch S. N. Murthy. "Prediction and Assessment of LHD Machine Breakdowns Using Failure Mode Effect Analysis (FMEA)." In Reliability, Safety and Hazard Assessment for Risk-Based Technologies, 833–50. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9008-1_70.

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Conference papers on the topic "Failure mode and effects analysis (FMEA)"

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Foster, Chad R. "Improving Failure Mode and Effects Analysis as a Cognitive Simulation." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70532.

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In this paper the failure mode and effects analysis (FMEA) process is studied as a human simulation. The cognitive challenges of availability bias, probability inconsistency, and experience weighting are reviewed against a large number of actual FMEAs. The challenges are outlined and improvements to the process presented including pooled scoring and the use of the criticality index.
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Di Marco, Patrick, Charles F. Eubanks, and Kosuke Ishii. "Service Modes and Effects Analysis: Integration of Failure Analysis and Serviceability Design." In ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium collocated with the ASME 1995 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/cie1995-0811.

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Abstract This paper describes the integration of Failure Modes and Effects Analysis (FMEA) into a computer-aided tool for Serviceability Design. FMEA is an important yet often neglected design practice that is critical in ensuring the product’s ownership quality. A computer aid that integrates FMEA into other life-cycle design evaluation tool should encourage engineers to use this important methodology more readily. The proposed method, service modes and effects analysis (SMEA) combines the functional block diagram (FBD) and structural graph (LINKER) as design inputs. The user defines functional discrepancies or component failures as service mode inputs, and the tool computes the failure criticality for each mode and life-cycle service costs. The key technology lies in representing the relationship between functions and structure and maintaining the consistency between function and component-based service modes. SMEA builds on our prototype life-cycle design analysis tool, LASeR, which evaluates not only the life-cycle ownership quality but also assemblability and recyclability.
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Nakao, Shogo, Masafumi Shimozawa, and Yasuo Sugure. "Virtual FMEA : Simulation-Based ECU Electrical Failure Mode and Effects Analysis." In SAE 2014 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2014. http://dx.doi.org/10.4271/2014-01-0205.

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Eubanks, Charles F., Steven Kmenta, and Kosuke Ishii. "Advanced Failure Modes and Effects Analysis Using Behavior Modeling." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/dtm-3872.

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Abstract This paper presents a systematic method applicable at the early stages of design to enhance life-cycle quality of ownership: Advanced Failure Modes and Effect Analysis (AFMEA). The proposed method uses behavior modeling to simulate device operations and helps identify failure and customer dissatisfaction modes beyond component failures. The behavior model reasons about conditions that cause departures from normal operation and provides a framework for analyzing the consequences of failures. The paper shows how Advanced FMEA applies readily to the early stages of design and captures failure modes normally missed by conventional FMEA. The result is a systematic method capable of capturing a wider range of failure modes and effects early in the design cycle. An automatic ice maker from a domestic refrigerator serves as an illustrative example.
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RUSSELL, D., K. BLACKLOCK, and M. LANGHENRY. "Failure mode and effects analysis (FMEA) for the Space Shuttle solidrocket motor." In 24th Joint Propulsion Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-3420.

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Valdes, Marcelo E. "Adapting failure mode and effects analysis (FMEA) to select hazard mitigation measures." In 2012 IEEE Petroleum and Chemical Industry Technical Conference (PCIC). IEEE, 2012. http://dx.doi.org/10.1109/pcicon.2012.6549659.

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Banghart, Marc, and Kara Fuller. "Utilizing confidence bounds in Failure Mode Effects Analysis (FMEA) Hazard Risk Assessment." In 2014 IEEE Aerospace Conference. IEEE, 2014. http://dx.doi.org/10.1109/aero.2014.6836222.

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Hein, Phyo Htet, Nate Voris, Jiaying Dai, and Beshoy W. Morkos. "Identifying Failure Modes and Effects Through Design for Assembly Analysis." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86314.

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Design for Assembly (DFA) time estimation method developed by G. Boothroyd and P. Dewhurst allows for estimating the assembly time of artifacts based on analysis of component features using handling and insertion tables by an assembler, who is assumed to assemble the artifact one-part-at-a-time. Using the tables, each component is assigned an assembly time which is based on the time required for the assembler to manipulate (handling time) and the time required for it to interface with the rest of the components (insertion time). Using this assembly time and the ideal assembly time (i.e. the absolute time it takes to assemble the artifact, assuming each component takes the ideal time of three seconds to handle and insert), this method allows to calculate the efficiency of a design’s assembly process. Another tool occasionally used in Design for Manufacturing (DFM) is Failure Modes and Effects Analysis (FMEA). FMEA is used to evaluate and document failure modes and their impact on system performance. Each failure mode is ranked based on its severity, occurrence, and detectability scores, and corrective actions that can be taken to control risk items. FMEA scores of components can address the manufacturing operations and how much effort should be put into each specific component. In this paper, the authors attempt to answer the following two research questions (RQs) to determine the relationships between FMEA scores and the DFA assembly time to investigate if part failure’s severity, occurrence, and detectability can be estimated if handling time and insertion time are known. RQ (1): Can DFA metrics (handling time and insertion time) be utilized to estimate Failure Mode and Effects scores (severity, occurrence, and detectability)? RQ (2): How does each response metric relate to predictor metrics (positive, negative, or no relationship)? This is accomplished by performing Boothroyd and Dewhurst’s DFA time estimation and FMEA on select set of simple products. Since DFA metrics are based on combination of designer’s subjectivity and part’s geometric specifications and FMEA scores are based only on designer’s subjectivity, this paper attempts to estimate part failure severity, occurrence, and detectability less subjectively by using the handling time and insertion time. This will also allow for earlier and faster acquisition of potential part failure information for use in design and manufacturing processes.
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Arunajadai, Srikesh G., Robert B. Stone, and Irem Y. Tumer. "A Framework for Creating a Function-Based Design Tool for Failure Mode Identification." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dtm-34018.

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Knowledge of potential failure modes during design is critical for prevention of failures. Currently industries use procedures such as Failure Modes and Effects Analysis (FMEA), Fault Tree analysis, or Failure Modes, Effects and Criticality analysis (FMECA), as well as knowledge and experience, to determine potential failure modes. When new products are being developed there is often a lack of sufficient knowledge of potential failure mode and/or a lack of sufficient experience to identify all failure modes. This gives rise to a situation in which engineers are unable to extract maximum benefits from the above procedures. In this work we report on a new failure identification scheme and integrate it with a function-based failure identification methodology, which would act as a storehouse of information and experience, providing useful information about the potential failure modes for the design under consideration, as well as enhancing the usefulness of procedures like FMEA. As an example, the method is applied to 41 products and the benefits are illustrated.
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Prasetya, Hendrik Elvian Gayuh, Joke Pratilastiarso, Radina Anggun Nurisma, Sulkan Efendi, and Fifi Hesty Sholihah. "Failure Risk Analysis on Screw Compressor using Failure Mode and Effect Analysis (FMEA) Method." In International Conference on Industrial Technology. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0009445202260232.

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Reports on the topic "Failure mode and effects analysis (FMEA)"

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Borgovini, Robert, Stephen Pemberton, and Michael Rossi. Failure Mode, Effects, and Criticality Analysis (FMECA). Fort Belvoir, VA: Defense Technical Information Center, April 1993. http://dx.doi.org/10.21236/ada278508.

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King, J. Laser Beam Failure Mode Effects and Analysis (FMEA) of the Solid State Heat Capacity Laser (SSHCL). Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1226982.

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Spencer, Cherrill M. Cost Based Failure Modes and Effects Analysis (FMEA) for Systems of Accelerator Magnets. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/813199.

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Huang, Hui-Min, and Thomas Hedberg Jr. Proposed expansion of quality information framework (QIF) standard schema with potential failure mode and effects analysis (FMEA) information model. Gaithersburg, MD: National Institute of Standards and Technology, May 2019. http://dx.doi.org/10.6028/nist.ams.300-7.

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Rhee, Seung, and Cherrill Spencer. Life Cost Based FMEA Manual: A Step by Step Guide to Carrying Out a Cost-based Failure Modes and Effects Analysis. Office of Scientific and Technical Information (OSTI), January 2009. http://dx.doi.org/10.2172/946447.

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Duclos, Ronald, and Ned Shepherd. Structured LSA Task 301. Functional Requirements Icentification. Subtask 301.2.4.1. Failure Mode, Effect & Criticality Analysis (FMECA). Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada257781.

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Rucisnki, R. A. D-Zero Nitrogen Dewar Failure Mode and Effects Analysis and "What-If" Analysis. Office of Scientific and Technical Information (OSTI), December 1990. http://dx.doi.org/10.2172/1031822.

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Kane, S. Failure Mode Effects Analysis for the RHIC Cryogenic Distribution System First Sextant Test Configuration. Office of Scientific and Technical Information (OSTI), December 1996. http://dx.doi.org/10.2172/1119233.

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Colvin, David. Referral Coordination in the Next TRICARE Contract Environment: A Case Study Applying Failure Mode Effects Analysis. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada432682.

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