Simulation of Carbonated Beverages Production Process Using MATLAB

Axel Fabián Solano-de-la-Sala, Fabricio Israel Montenegro-Cobo, Adan Moises Collaguazo-Arellano, Juan Gabriel Mollocana-Lara

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings 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
EditorsMarcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez
PublisherSpringer Science and Business Media Deutschland GmbH
Pages713-728
Number of pages16
ISBN (Print)9783031709807
DOIs
StatePublished - 2024
EventInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 - Ambato, Ecuador
Duration: 6 Nov 202310 Nov 2023

Publication series

NameLecture Notes in Networks and Systems
Volume797 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
Country/TerritoryEcuador
CityAmbato
Period6/11/2310/11/23

Bibliographical note

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

Keywords

  • Carbonated beverages
  • MATLAB
  • Productivity
  • Quality inspection
  • SimEvents
  • Simulink

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