摘要：O presente trabalho objetiva analisar o processo de produção de sapatas diamantadas através de simulação computacional e otimização combinatória, avaliando estatisticamente o número de operadores nos processos, fluxo de produção, dentre outras variáveis necessárias para avaliar a dinâmica do sistema e as regras operacionais. A análise destas variáveis visou auxiliar a tomada de decisão necessária para a implantação da ABRASDI, que será a primeira fábrica com tecnologia totalmente brasileira para produção de ferramentas diamantadas. Sua implantação se dirige a atender a alta demanda deste tipo de insumo existente no Brasil, em especial na região Norte Fluminense, onde a empresa será instalada. O modelo de simulação permitiu avaliar diversos cenários complexos do processo de produção de sapatas diamantadas, possibilitando identificar problemas e oportunidades de melhoria antes do inicio das linhas de produção. A utilização de análises estatísticas direcionou o projeto experimental aos fatores realmente decisivos, o que gerou resultados que possibilitaram estimar a capacidade produtiva da empresa e identificação dos cenários considerados ideais, mostrando em quais momentos é vantajoso efetuar a compra de máquinas ou contratação de funcionários. Por sua vez, a otimização possibilitou encontrar configurações mínimas dos recursos em relação à demanda inicial da empresa, diminuindo possíveis gastos com recursos que poderiam ser subutilizados.↓This paper aims to analyze the process of production of abrasive crowns through computer simulation and combinatorial optimization, evaluating statistically the number of operators in the process, production flow, among other variables needed to assess the dynamics of the system and operational rules. The analysis of these variables aimed to assist decision- making necessary for the implementation of the ABRASDI, which will be the first plant with technology totally Brazilian for production of diamond tools. Its implementation is aimed to meet the high demand for the input that exists in Brazil, especially in the North Fluminense, where the company will be installed. The simulation model allowed evaluating different, complex scenarios of the process of manufacturing of abrasive crowns, allowing identifying problems and opportunities for improvement before the start of production lines. The use of statistical analysis directed the experimental design to decisive factors, which generated results that allowed estimating the productive capacity of the company and identifying the scenarios considered ideal, showing at what time it is advantageous to purchase machinery or hiring. In turn, the optimization allowed finding minimum settings of resources in relation to the company's initial demand, reducing potential expenses resources that could be underutilized.Keywords: Simulation, Optimization, Abrasive crowns, Diamond Tools.
其他摘要：This paper aims to analyze the process of production of abrasive crowns through computer simulation and combinatorial optimization, evaluating statistically the number of operators in the process, production flow, among other variables needed to assess the dynamics of the system and operational rules. The analysis of these variables aimed to assist decision- making necessary for the implementation of the ABRASDI, which will be the first plant with technology totally Brazilian for production of diamond tools. Its implementation is aimed to meet the high demand for the input that exists in Brazil, especially in the North Fluminense, where the company will be installed. The simulation model allowed evaluating different, complex scenarios of the process of manufacturing of abrasive crowns, allowing identifying problems and opportunities for improvement before the start of production lines. The use of statistical analysis directed the experimental design to decisive factors, which generated results that allowed estimating the productive capacity of the company and identifying the scenarios considered ideal, showing at what time it is advantageous to purchase machinery or hiring. In turn, the optimization allowed finding minimum settings of resources in relation to the company's initial demand, reducing potential expenses resources that could be underutilized. Keywords: Simulation, Optimization, Abrasive crowns, Diamond Tools.
