Projections and Predictive Analysis of Tenebrio Molitor Production Using Simulation Technique

Pablo Guzman, Jocelyn Monsalve, Daniel Morillo-Torres, Gonzalo Aguila, Gustavo Gatica

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaAdvanced Research in Technologies, Information, Innovation and Sustainability - Second International Conference, ARTIIS 2022, Revised Selected Papers
EditoresTeresa Guarda, Filipe Portela, Maria Fernanda Augusto
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas31-43
Número de páginas13
ISBN (versión impresa)9783031203183
DOI
EstadoPublicada - 2022
Evento2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022 - Santiago de Compostela, Espana
Duración: 12 sep. 202215 sep. 2022

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1675 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022
País/TerritorioEspana
CiudadSantiago de Compostela
Período12/09/2215/09/22

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