Processo para redução de inconsistências em análise de falhas: estudo de caso na indústria automotiva

• Autor(a) principal: Batista, Luis Antonio Arruda [UNESP]
• Data de Publicação: 2016
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://hdl.handle.net/11449/155414; http://www.athena.biblioteca.unesp.br/exlibris/bd/capelo/2017-05-08/000882859.pdf
• topic: Controle de processo; Confiabilidade (Engenharia); Falha de sistema (Engenharia); Indústria automobilística; Automobile industry and trade

The Process FMEA is an analytical method of failure analysis which is widely diffused in the automotive industry. Organizations often elaborate FMEAs of their process, or by increase reliability of their operations through failure prevention, or just for complying with the normative requirements of the automotive quality management systems. Meantime, even existing this familiarity with the method, the companies often are not be able to perform effective FMEAs. Corporative questions contribute to this background, but mainly, technical and conceptual difficulties are presented as major reason why teams develop FMEAs filled with inconsistent data, becoming the worksheet inaccurate and far from the reality of the process. Therefore, the purpose of this work is to develop a process for reducing the most common inconsistencies carried out by teams during the development of FMEA. Through the use of pre-worksheets, designed to be more intuitive which the traditional FMEA worksheet, is intended to reduce the technical difficulties shown by the teams during the elaboration of the failure analysis, simplifying the understanding of the relationship between cause and effect inside FMEA. A case study is conducted, consisting in the application of this method in a revision work of Process FMEA in a Tier 1 company in the automotive supply chain. It was observed that the application of this FMEA's inconsistencies reduction process provides quantitative achievements, in terms of data volume transcribed to the FMEA worksheet, and also qualitative achievements, with information described in a accurate and consistent way, allowing the elaboration of an effective FMEA in order to be applied in the risk management of the process