Uma nova abordagem à seleção de variáveis para o planeamento de experiências
Uma nova abordagem à seleção de variáveis para o planeamento de experiências
Índice
1. Introdução
2. Diretrizes para o Planeamento de Experiências (DoE)
3. Abordagens para a fase de planeamento pré-experimental
4. Exemplo de aplicação industrial
5. Seleção de fatores e respetivas gamas
6. Conclusão
Este artigo aborda a fase dos testes prévios à condução do Planeamento de Experiências (DOE), usando pela primeira vez uma ferramenta da área dos sistemas de engenharia para uma melhor definição do problema de qualidade a analisar, permitindo também uma melhor seleção dos fatores controláveis e respetivos níveis e gamas operatórias. Esta nova ferramenta, baseada numa amplamente conhecida ferramenta de sistemas de engenharia chamada Matriz de Estrutura de Projeto (DSM), foi denominada como Matriz de Não-Conformidades (NCM), sendo uma matriz que sistematiza as não-conformidades originadas ao longo da linha de produção, destacando as inter-relações entre elas de uma forma estruturada. O artigo também aborda as principais diretrizes a ter em conta quando se realizam os testes prévios ao desenho de experiências escolhido, tendo como base uma caso de estudo real de um processo de fabricação de bens de consumo, i.e. aerossóis em folha-de-flandres. Esta nova proposta permite uma modelação holística de todo o sistema de produção, tendo-se revelado uma ferramenta valiosa para uma aplicação mais eficaz do DoE.
Muhammad Arsalan Farooq is a Ph.D. researcher at the Engineering Faculty of University of Porto under the framework of MIT Portugal Program (MPP). His Ph.D. work, which is sponsored by COLEP (a consumer goods industry), is to apply engineering systems approaches for quality improvement of manufacturing systems. He is currently pursuing his research at Massachusetts Institute of Technology in the USA as part of the MPP. He has worked with Indus Motor Company (Toyota) and GlaxoSmithKline after graduation. His áreas of interest include process and product quality improvement, design of experiments, six sigma, statistical techniques and analysis, project management.
Henriqueta Nóvoa has received a Ph.D. from the Engineering Faculty of the University of Porto in 2000 and she is an Assistant Professor at the Industrial and Engineering Department of the University of Porto. She has worked as a production test engineer at Texas Instruments Portugal for 6 years before joining the University (1983-1989).
Her research interests are in the areas Strategic Planning of Information Systems and, more recently, Quality Management and Statistical Methods for Quality Improvement.
Sérgio Tavares got his Ph.D. from University of Porto in context of MIT-Portugal Program in 2011. Currently, he is senior researcher at Institute of Mechanical Engineering and Industrial Management and his experience has accumulated in different places including HZG in Germany, University of Pisa in Italy, Massachusetts Institute of
Technology in USA and at Airbus in Germany. His research interests include advanced manufacturing processes, computational mechanics, and fatigue and fracture mechanics.
António Araújo has received a PhD from the Engineering Faculty of the University of Porto in 2014. He works since 2013 as consultant for Ford´s John Andrews Development Centre in Cologne, Germany, while part time teaching at the Mechanical Engineering Department of the University of Porto in the MIT-Portugal Program. Heworked previously 4 years as full time Invited Professor at the MIT-Portugal Program, 10 years at the Toyota Formula 1 team in Cologne and 3 years at the European Space Agency in the Netherlands.
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Matriz de Não-Conformidades, Planeamento de Experiências, Testes pré-experimentais.
