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Estudo do desempenho de um processo produtivo do ramo alimentar
| Name: | Description: | Size: | Format: | |
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| 5.09 MB | Adobe PDF |
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Abstract(s)
O presente trabalho incide sobre a análise e melhoria do desempenho de uma linha de
produção de barras proteicas, um produto cada vez mais relevante no setor alimentar devido à
crescente procura por alternativas nutricionais equilibradas. O caso de estudo, iniciou-se com
uma caracterização detalhada do processo produtivo, a partir da qual foi desenvolvido um
modelo de simulação no software JaamSim®, com o objetivo de identificar bottlenecks e testar
diferentes cenários de melhoria. A validação do modelo baseou-se em dados reais recolhidos
numa unidade fabril, garantindo a fiabilidade dos resultados obtidos. Foram analisados oito
cenários, para avaliar o impacto de diferentes estratégias sobre a produtividade e a eficiência
global do processo. Os quatro primeiros correspondem a alterações individuais no processo. Já
os cenários 5 a 8 resultam de combinações entre as estratégias anteriores. Os resultados
demonstram ganhos significativos ao nível da produtividade e da eficiência global do processo,
evidenciando a utilidade da simulação como ferramenta de apoio à tomada de decisão. Este
caso de estudo reforça a importância da integração de metodologias quantitativas no contexto
industrial e apresenta o JaamSim® como uma solução viável e acessível para a análise e
melhoria de processos produtivos.
This work focuses on analyzing and improving the performance of a production line for protein bars, a product that is becoming increasingly important in the food sector due to the growing demand for balanced nutritional alternatives. The case study began with a detailed characterization of the production process, from which a simulation model was developed using JaamSim® software, with the aim of identifying bottlenecks and testing different improvement scenarios. Validation of the model was based on real data collected in a manufacturing unit, guaranteeing the reliability of the results obtained. Eight scenarios were analyzed to assess the impact of different strategies on productivity and overall process efficiency. The first four correspond to individual changes in the process. Scenarios 5 to 8 result from combinations of the previous strategies. The results show significant gains in productivity and overall process efficiency, demonstrating the usefulness of simulation as a tool to support decision-making. This case study reinforces the importance of integrating quantitative methodologies in the industrial context and presents JaamSim® as a viable and accessible solution for analyzing and improving production processes.
This work focuses on analyzing and improving the performance of a production line for protein bars, a product that is becoming increasingly important in the food sector due to the growing demand for balanced nutritional alternatives. The case study began with a detailed characterization of the production process, from which a simulation model was developed using JaamSim® software, with the aim of identifying bottlenecks and testing different improvement scenarios. Validation of the model was based on real data collected in a manufacturing unit, guaranteeing the reliability of the results obtained. Eight scenarios were analyzed to assess the impact of different strategies on productivity and overall process efficiency. The first four correspond to individual changes in the process. Scenarios 5 to 8 result from combinations of the previous strategies. The results show significant gains in productivity and overall process efficiency, demonstrating the usefulness of simulation as a tool to support decision-making. This case study reinforces the importance of integrating quantitative methodologies in the industrial context and presents JaamSim® as a viable and accessible solution for analyzing and improving production processes.
Description
Keywords
Production Process Protein Bars Simulation JaamSim® Efficiency Bottlenecks Optimization Processo produtivo Barras proteicas Simulação Otimização