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Advisor(s)
Abstract(s)
No desenvolvimento de um produto, é crucial transformar necessidades do cliente em parâmetros específicos e mensuráveis, ou seja, em requisitos fundamentais exigidos pelo cliente, usualmente designados por parâmetros críticos para a qualidade. Estes, têm como o objetivo garantir a satisfação do mesmo, bem como a qualidade do produto. Assim, é importante monitorizar e controlar o processo através da implementação do controlo estatístico do processo. Tendo em consideração estas exigências, a organização, IKEA Industry, em que foi realizado o estágio, considerou importante implementar a metodologia de controlo estatístico do processo no desenvolvimento dum novo produto, nomeadamente, a porta Tyssedal Mirror, constituindo o contexto desta dissertação. Esta metodologia compreende várias ferramentas da qualidade que estabelecem ligação entre si. Inicialmente procedeu-se à identificação dos parâmetros críticos para a qualidade, tendo-se sinalizado 12 parâmetros a ter em consideração no processo. Com a descrição exaustiva do processo, através da elaboração do mapa de processo, conclui-se que o processo de montagem da porta é constituído por 30 etapas que englobam num total de 305 variáveis, das quais 223 são de entrada e 82 de saída. O estudo da correlação entre as variáveis de entrada e de saída do processo, através da Matriz Causa-Efeito, resultou em 12 variáveis com maior impacto no processo, que se encontram nas etapas de aplicação da cola quente e cola branca. Dessas variáveis, efetuou-se a Análise de Modos de Falha e Efeitos em que se conclui que os pontos críticos são: o alinhamento do bico da pistola ao rasgo do stile, a quantidade de cola aplicada (quer branca, quer quente) e a altura da pistola em relação ao stile. De forma a reduzir o risco associado, procedeu-se à definição de ações recomendadas. Concluindo, com as ações definidas ainda há um longo caminho a percorrer, desde a sua implementação para estabilizar o processo e avaliar a sua capabilidade até ao acompanhamento do mesmo ao longo do tempo.
When developing a product, it becomes critical to transform the customer`s needs in specific and measurable parameters, that is, in fundamental requirements demanded by customers, usually designated by critical parameters for quality. Consequently, these parameters have as aim to guarantee their satisfaction, as well as their quality. As a result, it becomes important to test and control the process throught the implementation of the statistical process control. Considering these demands, the organization, IKEA Industry, where the internship was performed, considered that it was relevant to implement the methodology of statistical control of the process during the development of a new product, in other words, the Tyssedal Mirror door, which constitutes the context of this dissertation. Such methodology concerns several quality tools which establish relationships with each other. First of all, proceeded the identification of the critical parameters for quality, having highlighted 12 parameters to be considered in process. With the exhaustive description of the process, through the elaboration of the process map, it was concluded that the door assembly process is made up of 30 phases wich include in a total of 305 variables, from which 223 are of input and 82 of output. The study of correlation between the input and the output variables, through the cause-effect matrix, has resulted in 12 variables with greater impact in the process, mainly found in the application stages of hot and white glue. From these variables it was performed the failure mode and effect analysis, where it was concluded where the critical points identified were: the alignment of the glue pistol nozzle to the rip of the stile, the amount of glue (either white or hot) and the heigh of the glue pistol relative to the stile. In order to reduce the risk within associated, it took place the definition of recommended actions. In conclusion, with all the actions defined, there is still a long way to go, since the implementation to stabilize the process, evaluate its capability and to monitor it overtime.
When developing a product, it becomes critical to transform the customer`s needs in specific and measurable parameters, that is, in fundamental requirements demanded by customers, usually designated by critical parameters for quality. Consequently, these parameters have as aim to guarantee their satisfaction, as well as their quality. As a result, it becomes important to test and control the process throught the implementation of the statistical process control. Considering these demands, the organization, IKEA Industry, where the internship was performed, considered that it was relevant to implement the methodology of statistical control of the process during the development of a new product, in other words, the Tyssedal Mirror door, which constitutes the context of this dissertation. Such methodology concerns several quality tools which establish relationships with each other. First of all, proceeded the identification of the critical parameters for quality, having highlighted 12 parameters to be considered in process. With the exhaustive description of the process, through the elaboration of the process map, it was concluded that the door assembly process is made up of 30 phases wich include in a total of 305 variables, from which 223 are of input and 82 of output. The study of correlation between the input and the output variables, through the cause-effect matrix, has resulted in 12 variables with greater impact in the process, mainly found in the application stages of hot and white glue. From these variables it was performed the failure mode and effect analysis, where it was concluded where the critical points identified were: the alignment of the glue pistol nozzle to the rip of the stile, the amount of glue (either white or hot) and the heigh of the glue pistol relative to the stile. In order to reduce the risk within associated, it took place the definition of recommended actions. In conclusion, with all the actions defined, there is still a long way to go, since the implementation to stabilize the process, evaluate its capability and to monitor it overtime.
Description
Keywords
Controlo Estatístico do Processo Tyssedal Mirror Ferramentas da Qualidade Statistical Process Control Quality Tools