Mensuração de desempenho para análise da estratégia competitiva na manufatura aditiva industrial

• Autor(a) principal: Nogueira, Plinio Assis França
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Manancial - Repositório Digital da UFSM
• dARK ID: ark:/26339/0013000009p8r
• Texto Completo: http://repositorio.ufsm.br/handle/1/23727
• topic: Manufatura; Manufatura aditiva; Processos; Abordagem multicritério; Indicadores de desempenho; Sistema de mensuração de desempenho; Manufacturing; Additive manufacturing; Process; Key performance indicators; Performance measurement system; CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO

The evolution and application of new manufacturing processes contribute to the progress of production systems, product development and change in the supply chain. Additive manufacturing, conceived in the 60s and put into practice in the 80s, can provide a complete form of today's production systems. From the point of view of product development in the industry or due to the aspect related to the supply chain, the use of this technology opens a new path that allows for the optimization and shortening of the time between the entry of a production request and the delivery of the product will provide greater customer contact to production processes. The objective of the work focuses on developing a performance measurement model for an analysis of the Value Chain as a competitive strategy in the use of additive manufacturing in the Brazilian industry. The work is theoretically supported through a broad bibliographic review carried out in the bases identified as being relevant to the research topic, in addition to books, articles and materials produced by independent companies and governments. In this sense, it uses the Key Performance Indicators (KPIs) and the multi-criteria decision support approach to build the measurement model. The results obtained were achieved from the practical application of the measurement system developed, where it was possible, through a qualitative scale, to identify a performance index capable of positioning the business model regarding the use and application of additive manufacturing.