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Optimal Production in Vacuum Food Packaging Thermoforming with Linear Programming

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This article presents an optimization model to determine the ideal production distribution in the thermoforming lines of a sausage factory. A linear programming model subject to the simplex method is used to find the production coefficient, determining the ideal workload for three machines involved in the packaging process. The methodology considers common characteristics of the sausage industry, where production programming, thermoforming machines, and their capacities are the ones that directly influence the execution of the experiment. Using the model allows for analyzing the variations of the actual production plan and its effectiveness against the optimized production results. The experiments compared and evaluated the fulfillment of the optimization objective. The modeling was executed with the free software language programming R. A mathematical model was generated that allows evaluating and programming the optimal production in the thermoforming lines to maximize packaging and optimize resources, considering the restrictions of the process. The purpose is to avoid overproduction and misuse of available resources. The results show that the model makes it possible to optimize daily production in the thermoforming lines by 11% for October and 8% for March, equivalent to 5,500 and 3,500 units per day, respectively.
Title: Optimal Production in Vacuum Food Packaging Thermoforming with Linear Programming
Description:
This article presents an optimization model to determine the ideal production distribution in the thermoforming lines of a sausage factory.
A linear programming model subject to the simplex method is used to find the production coefficient, determining the ideal workload for three machines involved in the packaging process.
The methodology considers common characteristics of the sausage industry, where production programming, thermoforming machines, and their capacities are the ones that directly influence the execution of the experiment.
Using the model allows for analyzing the variations of the actual production plan and its effectiveness against the optimized production results.
The experiments compared and evaluated the fulfillment of the optimization objective.
The modeling was executed with the free software language programming R.
A mathematical model was generated that allows evaluating and programming the optimal production in the thermoforming lines to maximize packaging and optimize resources, considering the restrictions of the process.
The purpose is to avoid overproduction and misuse of available resources.
The results show that the model makes it possible to optimize daily production in the thermoforming lines by 11% for October and 8% for March, equivalent to 5,500 and 3,500 units per day, respectively.

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