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Otimização da produção com base na simulação: estudo de caso
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| 6.22 MB | Adobe PDF |
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Abstract(s)
A indústria mundial, contaminada pelas constantes inovações tecnológicas e científicas, tem sofrido ao longo dos tempos transformações, evoluções e revoluções. Esta constante mutação dá-se em resposta às necessidades, cada vez mais exigentes, da sociedade, que despoletam um aumento dos padrões e da exigência das organizações e alimentam o engenho e a arte. Perante este fenómeno desafiante e competitivo torna-se necessária a procura continua da melhoria de processos. O presente trabalho procura estudar e aperfeiçoar um sistema produtivo de uma indústria metalomecânica através da simulação de eventos discretos. Primeiramente introduz-se e contextualiza-se o ambiente industrial observado, criando bases para o seu estudo e avaliação. É dedicada uma secção à construção de uma Process Failure Modes and Effects Analysis (PFMEA), evidenciando a importância da identificação e caracterização de anomalias e desafios nas organizações, no processo de alcançar soluções e melhorias. Em resposta ao desafios identificados construíram-se 9 propostas de melhoria que, através de metodologias variadas, incidiram sobre os temas da saúde e segurança no trabalho, qualidade, gestão organizacional e produtividade. Nesta sequência foram desenvolvidos e simulados modelos em ARENA, que validaram hipóteses de modelos analíticos de balanceamento de linhas e aumentara a eficiência dos processos. Na fundamentação de propostas de melhoria foram ainda apresentados dois exercícios teóricos de apoio à decisão. Um primeiro que explora a hipótese de implementação de um método de gestão de fluxos de trabalho, kanban, e um segundo no âmbito de estudos de viabilidade económica e financeira associados à aquisição de novos equipamentos.
Abstract Influenced by constant technological and scientific innovations, the global industry has undergone transformations, evolutions and revolutions over time. This constant mutation occurs in response to the increasingly demanding needs of society. These needs raise the standards and requirements of organisations that foster ingenuity and artistry. Faced with this challenging and competitive phenomenon, it is necessary to constantly seek to improve and optimise processes. The aim of this thesis is to study and enhance a production system efficiency in a metalworking industry using discrete event simulation. Firstly, the industrial environment under consideration is introduced and contextualised to provide the basis for its study and evaluation. A section is dedicated to the construction of a Process Failure Modes and Effects Analysis PFMEA, highlighting the importance of identifying and classifying anomalies and challenges in organisations to achieve solutions and improvements. In response to the challenges identified, 9 proposals for improvement were constructed, using a variety of methodologies and focusing on health and safety at work, quality, organisational management and productivity. In order to support these proposals, ARENA models were developed and simulated to validate the hypotheses of the analytical models for line balancing and process efficiency improvement. To support the improvement proposals, two theoretical decision support exercises were also presented. The first examines the hypothesis of implementing a workflow management method, Kanban, and the second examines the economic and financial viability of acquiring new equipment.
Abstract Influenced by constant technological and scientific innovations, the global industry has undergone transformations, evolutions and revolutions over time. This constant mutation occurs in response to the increasingly demanding needs of society. These needs raise the standards and requirements of organisations that foster ingenuity and artistry. Faced with this challenging and competitive phenomenon, it is necessary to constantly seek to improve and optimise processes. The aim of this thesis is to study and enhance a production system efficiency in a metalworking industry using discrete event simulation. Firstly, the industrial environment under consideration is introduced and contextualised to provide the basis for its study and evaluation. A section is dedicated to the construction of a Process Failure Modes and Effects Analysis PFMEA, highlighting the importance of identifying and classifying anomalies and challenges in organisations to achieve solutions and improvements. In response to the challenges identified, 9 proposals for improvement were constructed, using a variety of methodologies and focusing on health and safety at work, quality, organisational management and productivity. In order to support these proposals, ARENA models were developed and simulated to validate the hypotheses of the analytical models for line balancing and process efficiency improvement. To support the improvement proposals, two theoretical decision support exercises were also presented. The first examines the hypothesis of implementing a workflow management method, Kanban, and the second examines the economic and financial viability of acquiring new equipment.
Description
Dissertação para obtenção do grau de Mestre em Engenharia Mecânica, na Área de Especialização de Manutenção e Produção
Keywords
Eficiência produtiva ARENA Estudo de caso PFMEA Production efficiency Case study