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Simulation of Carbonated Beverages Production Process Using MATLAB

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

Resumen

Carbonated beverages are a product of high consumer demand, for which companies are always looking for new ways to improve their production process, so in this article a comparison of two carbonated beverage bottle inspection processes is proposed that allows us to identify which will be the best option for improvement in the process part, to culminate in the packaging of six bottles per pack, helping us in the MATLAB software with the application of Simulink. The first method will be based on an automated visual inspection system that will inspect 100% of the carbonated beverage production, while the second method just 10% of the bottles will be taken as a sample that will be inspected through human vision. To identify the best option, we will measure the average final production of each process in multiple trials, for which it is intended to find out that implementing an automated visual inspection system for quality inspection helps obtain greater production. The result of the hypothesis test indicates that the mean of Method 1 is greater than that of Method 2, so it is concluded that an automated visual inspection system is more productive than human vision inspection.

Idioma originalInglés
Título de la publicación alojadaProceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application
EditoresMarcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas713-728
Número de páginas16
ISBN (versión impresa)9783031709807
DOI
EstadoPublicada - 2024
EventoInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 - Ambato, Ecuador
Duración: 6 nov. 202310 nov. 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen797 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
País/TerritorioEcuador
CiudadAmbato
Período6/11/2310/11/23

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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