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Abstract(s)
Esta tese investiga a avaliação da maturidade da produção optimizada na fábrica da Catraport, que revelou desafios operacionais significativos devido a um sistema de empurrar e a uma gestão inadequada do armazém. As principais questões incluíam o excesso de stock, a falta de gestão visual, as ineficiências organizacionais, as preocupações com a segurança do transporte e as restrições de espaço, identificadas através de ferramentas como o diagrama de Ishikawa e a análise 5W1H. Foram formulados objectivos SMART para resolver estas questões, centrados na redução dos movimentos de contentores, na melhoria dos sistemas de prateleiras e etiquetagem, na implementação da gestão visual e no reforço das medidas de segurança no prazo de seis meses. Foram desenvolvidos um plano de ação detalhado e um diagrama de Gantt para uma implementação sistemática. O estudo também salientou que os dados médios semanais relativos à eficácia global do equipamento (OEE) têm limitações. Recomenda a passagem para a monitorização em tempo real e a utilização de tecnologias IoT da Internet das coisas e de sistemas SCADA
de controlo de supervisão e aquisição de dados para uma melhor análise. Sugeriu a implementação de um sistema de relatórios visuais e de uma plataforma de dados baseada na nuvem para centralizar os dados operacionais, facilitando a análise das métricas de produção, manutenção e qualidade.
This thesis investigates the maturity assessment of lean manufacturing at Catraport factory revealed significant operational challenges due to a push system and inadequate warehouse management. Key issues included overstocking, lack of visual management, organizational inefficiencies, transport safety concerns, and space constraints, identified through tools like the Ishikawa diagram and 5W1H analysis. SMART objectives were formulated to address these issues, focusing on reducing container movements, enhancing shelving and labeling systems, implementing visual management, and strengthening security measures within six months. A detailed action plan and Gantt diagram were developed for systematic implementation. The study also highlighted that weekly average data for Overall Equipment Effectiveness (OEE) has limitations. It recommends moving to real-time monitoring and using internet of things technologies and Supervisory Control and Data Acquisition systems for better analysis. It suggested an implementation of a visual reporting system and a cloud-based data platform to centralize operational data, making it easier to analyze production, maintenance, and quality metrics.
This thesis investigates the maturity assessment of lean manufacturing at Catraport factory revealed significant operational challenges due to a push system and inadequate warehouse management. Key issues included overstocking, lack of visual management, organizational inefficiencies, transport safety concerns, and space constraints, identified through tools like the Ishikawa diagram and 5W1H analysis. SMART objectives were formulated to address these issues, focusing on reducing container movements, enhancing shelving and labeling systems, implementing visual management, and strengthening security measures within six months. A detailed action plan and Gantt diagram were developed for systematic implementation. The study also highlighted that weekly average data for Overall Equipment Effectiveness (OEE) has limitations. It recommends moving to real-time monitoring and using internet of things technologies and Supervisory Control and Data Acquisition systems for better analysis. It suggested an implementation of a visual reporting system and a cloud-based data platform to centralize operational data, making it easier to analyze production, maintenance, and quality metrics.
Description
Keywords
Lean mangement PDCA Ishikawa 5W1H OEE Smart