Abstract
Complex system operations must be mimicked or replicated, and simulations are conducted to predict their behavior. Herein, a discrete event simulation is presented to analyze Tenebrio molitor production using the SIMIO software, which allows the verification and validation of a mathematical model proposed, where temperature, luminosity, and humidity are controlled via simulation. Operation parameters such as the percentages of trays used for reproduction, the maximum capacity of the farm, the minimum weight of a tray for production, and the life cycle of the Tenebrio molitor are considered for the simulation. According to the results, 24 scenarios are evaluated to determine Tenebrio molitor production. The optimal scenario was where the farm had a maximum capacity of 1700 trays. It started with 100 trays, in which 5% were allocated for reproduction, considering that the scenario began with 100 trays; this number is considerably less than the number of trays used in scenarios 10 and 11, which start with 500 trays. The analysis of the proposed production of Tenebrio molitor shows that simulation can be used to control the estimated production.
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The authors are grateful for financing this work with funds from the internal project DI-12-20/REG, and thank Crimson Interactive Pvt. Ltd. (Enago) (https://www.enago.com/es/) for their assistance in manuscript translation and editing.
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Guzman, P., Monsalve, J., Morillo-Torres, D., Aguila, G., Gatica, G. (2022). Projections and Predictive Analysis of Tenebrio Molitor Production Using Simulation Technique. In: Guarda, T., Portela, F., Augusto, M.F. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2022. Communications in Computer and Information Science, vol 1675. Springer, Cham. https://doi.org/10.1007/978-3-031-20319-0_3
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