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Analysis of a bakery production system using discrete simulation

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Detalhes bibliográficos
Resumo:The main objective of this study is to analyse different production scenarios of a company, and propose improvements with the use of discrete event simulation. We use a simulation tool, SIMIO software, to reproduce the existing production layout of the company. Our purpose is to gather relevant information about the actual production system behaviour, and to find strategies to increase the production level to meet the market demand. Based on initial simulation model, some production scenarios were developed involving the production of different products. The analysis of the developed models highlighted the need for improvements. Among the obtained results, the creation of different mixed production scenarios allowed to increase the production level while maintaining the current existing resources. The results of this work can be easily implemented in the company in order to increase the production level without increasing costs since they do not involve the purchase of new equipment. In conclusion, this study highlighted the ability of the simulation technique to analyse manufacturing processes throughout the creation of different scenarios providing insights on the production process improving the companies’ productive performance
Autores principais:Geraldes, Carla A.S.
Outros Autores:Setti, Fabiane K.; Almeida, João P.
Assunto:Discrete simulation Manufacturing process Bakery
Ano:2022
País:Portugal
Tipo de documento:documento de conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
Descrição
Resumo:The main objective of this study is to analyse different production scenarios of a company, and propose improvements with the use of discrete event simulation. We use a simulation tool, SIMIO software, to reproduce the existing production layout of the company. Our purpose is to gather relevant information about the actual production system behaviour, and to find strategies to increase the production level to meet the market demand. Based on initial simulation model, some production scenarios were developed involving the production of different products. The analysis of the developed models highlighted the need for improvements. Among the obtained results, the creation of different mixed production scenarios allowed to increase the production level while maintaining the current existing resources. The results of this work can be easily implemented in the company in order to increase the production level without increasing costs since they do not involve the purchase of new equipment. In conclusion, this study highlighted the ability of the simulation technique to analyse manufacturing processes throughout the creation of different scenarios providing insights on the production process improving the companies’ productive performance