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The automotive industry is one of the main drivers of industrial production and is well known for high-quality criteria. In the past, original equipment manufacturers (OEMs) pushed forward the main processes of new vehicle production. Today, OEM transfers a great deal of high-level engineering tasks to suppliers. As automotive industries are highly automated robot lines, constituting serial production in millions, the smallest error in a delivered product/component causes the downtime for the whole line. In these situations, it is necessary to validate another supplier of the same component, which can last a very long time. This paper presents a quality management model for incoming components in the automotive industry which can recognize possible risks in the early phase of the component prototype development. The model is successfully applied in a company that produces components for OEM, which will be presented in the second part of the paper. [ABSTRACT FROM AUTHOR]

Nowadays, in the global market products and services need to have factors that exceed expectations if the manufacturer wants to be one of the leading market players, and they have to fulfill all the basic and customer requirements. Very often there is a large percentage of working time which is wasted in communication in order to clarify misunderstandings, correct mistakes, and sometimes reorganize improper work activities. To avoid these losses, more time has to be spent on analyzing and planning to meet customer requirements. The QFD method is a comprehensive method for quality planning and management in the product creation process. This why it is necessary to perform systematic monitoring and measurement in all processes, primarily on the basis of set goals in terms of time, costs and product quality. The paper presents the use of the QFD method to improve the existing product, a device for automatic pressure adjustment in car tires. According to the QFD methodology, all participants are provided with a system analysis in the realization of products through four phases, from customer requirements to all definitions of the work process. Also, the goal is to achieve a reduction in the number of work instructions. The fourth matrix shows key processes with performance and graded significance. These are processes that require special attention during production design, in order to improve a product and make it meet customer expectations. [ABSTRACT FROM AUTHOR]