This article presents a method to evaluate batch production scheduling in a cassava starch production company. The company uses specialized machinery to process cassava. The method is based on a study of the practical operations of the company and the production technologies used, including the construction of a simulation model. The simulation model reflects the technical aspects of the production process and the company’s requirements. The simulation program FlexSim (from FlexSim Software Products, Inc.) was used in the experiments. The proposed method was evaluated using 12 possible scenarios. When comparing the simulated scenarios with the real data, it was concluded that there is an average percentage variation of 0.018%. These results highlight the effectiveness of advanced tools to optimize processes and improve efficiency in cassava starch production. The method was applied directly in a company to improve its performance; Furthermore, it is scalable and can be applied to problems of varying complexity and to production systems of different types and sizes, especially in small and medium-sized companies in the agri-food industries of the region.

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Simulation Model for the Strategic Analysis of a Cassava Starch Production Company: A Case Study

  • Gean Pablo Mendoza-Ortega,
  • Torregroza-Angélica M,
  • Adriana Jaraba-Amaya,
  • Dina Marcela Mejía Gáspar,
  • Rolando López-Martínez

摘要

This article presents a method to evaluate batch production scheduling in a cassava starch production company. The company uses specialized machinery to process cassava. The method is based on a study of the practical operations of the company and the production technologies used, including the construction of a simulation model. The simulation model reflects the technical aspects of the production process and the company’s requirements. The simulation program FlexSim (from FlexSim Software Products, Inc.) was used in the experiments. The proposed method was evaluated using 12 possible scenarios. When comparing the simulated scenarios with the real data, it was concluded that there is an average percentage variation of 0.018%. These results highlight the effectiveness of advanced tools to optimize processes and improve efficiency in cassava starch production. The method was applied directly in a company to improve its performance; Furthermore, it is scalable and can be applied to problems of varying complexity and to production systems of different types and sizes, especially in small and medium-sized companies in the agri-food industries of the region.