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A importância do Controlo Estatístico de Processos na Indústria 4.0
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Recentemente, houve uma grande mudança nos hábitos de consumo da sociedade, com a busca por soluções personalizadas e acessíveis. Para atender a essas necessidades, a indústria tem se concentrado em inovar em seus processos de produção, oferecendo maior flexibilidade na personalização dos produtos sem aumentar significativamente os custos. No entanto, mui-tas empresas enfrentam desafios ao usar ferramentas tradicionais como o Controlo Estatístico de Processos para monitorar processos de produção em tempo real, especialmente quando há grandes quantidades de dados, dados não normalmente distribuídos ou muitas variáveis para estudar simultaneamente. A Indústria 4.0 é uma tecnologia que pode complementar o poder do SPC, permitindo monitorar processos em tempo real e detetar problemas imediata-mente. A utilização conjunta dessas ferramentas pode aumentar a eficiência dos processos, permitindo que a equipe de produção tome decisões informadas baseadas em dados, o que pode levar a uma redução de desperdícios e a uma melhoria na qualidade dos produtos.
Nesse contexto, foi feita uma revisão sistemática da literatura utilizando as expressões "Statisical Process Control" e "Industry 4.0", onde foram analisados um total de 21 artigos.
De um modo mais específico, essa análise permitiu concluir que existem 3 grandes utili-zações conjuntas entre o Controlo Estatístico de Processos e as tecnologias da Indústria 4.0, sendo que a primeira descreve como se deve aplicar as ferramentas da Indústria 4.0 num contexto do Controlo Estatístico de Processos, mas não é aplicada na prática. Numa segunda abordagem, é referido como as ferramentas da Indústria 4.0 complementam o Controlo Estatístico de Processos, com pouca automatização. Uma última abordagem, concluiu-se que existem modelos e sistemas que já trabalham com o Controlo Estatístico de Processos e tecnologias da Indústria 4.0 de forma totalmente automatizada.
Recently, there has been a major change in society's consumption habits, with the search for personalized and affordable solutions. To meet these needs, the industry has focused on innovating in its production processes, offering greater flexibility in customizing products with-out significantly increasing costs. However, many companies face challenges when using tra-ditional tools like Statistical Process Control to monitor production processes in real time, es-pecially when there are large amounts of data, data not normally distributed, or many variables to study simultaneously. Industry4.0 is a technology that can complement the power of SPC, allowing you to monitor processes in real time and detect problems immediately. The joint use of these tools can increase the efficiency of processes, allowing the production team to make informed decisions based on data, which can lead to a reduction in waste and an improvement in product quality. In this context, a systematic review of the literature was performed using the expressions "Statisical Process Control" and "Industry 4.0", where a total of 21 articles were analyzed. More specifically, this analysis led to the conclusion that there are 3 major joint uses between Statistical Process Control and the technologies of Industry 4.0, the former of which describes how the tools of Industry4.0 should be applied in the context of Statistical Process Control, but it is not applied in practice. In a second approach, it is referred to as Industry 4.0's tools complement Statistical Process Control, with little automation. A final approach, it was concluded that there are models and systems that already work with the Statistical Control of Processes and technologies of Industry 4.0 in a fully automated way.
Recently, there has been a major change in society's consumption habits, with the search for personalized and affordable solutions. To meet these needs, the industry has focused on innovating in its production processes, offering greater flexibility in customizing products with-out significantly increasing costs. However, many companies face challenges when using tra-ditional tools like Statistical Process Control to monitor production processes in real time, es-pecially when there are large amounts of data, data not normally distributed, or many variables to study simultaneously. Industry4.0 is a technology that can complement the power of SPC, allowing you to monitor processes in real time and detect problems immediately. The joint use of these tools can increase the efficiency of processes, allowing the production team to make informed decisions based on data, which can lead to a reduction in waste and an improvement in product quality. In this context, a systematic review of the literature was performed using the expressions "Statisical Process Control" and "Industry 4.0", where a total of 21 articles were analyzed. More specifically, this analysis led to the conclusion that there are 3 major joint uses between Statistical Process Control and the technologies of Industry 4.0, the former of which describes how the tools of Industry4.0 should be applied in the context of Statistical Process Control, but it is not applied in practice. In a second approach, it is referred to as Industry 4.0's tools complement Statistical Process Control, with little automation. A final approach, it was concluded that there are models and systems that already work with the Statistical Control of Processes and technologies of Industry 4.0 in a fully automated way.
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Controlo Estatístico de Processos Indústria 4.0