Automation system for the cleaning of yellow corn in the company 'Inversiones Santana'

Haru Helen Mallco-Segura; Yanira Malena Chavez-Esteban; Samir Genoary Rojas-Santana; Ivan Llactahuaman-Rodriguez; Jhon Rodrigo Ortiz-Zacarias; Herbert Antonio Vilchez-Baca

doi:10.1109/CMAEE58250.2022.00017

Automation system for the cleaning of yellow corn in the company 'Inversiones Santana'

Haru Helen Mallco-Segura, Yanira Malena Chavez-Esteban, Samir Genoary Rojas-Santana, Ivan Llactahuaman-Rodriguez, Jhon Rodrigo Ortiz-Zacarias, Herbert Antonio Vilchez-Baca

Research output: Chapter in Book/Report › Conference contribution › peer-review

2 Scopus citations

Abstract

The demand for yellow corn according to the Ministry of Agrarian Development and Irrigation Midagri in the period 2020, Peru had an annual growth of 4.9%, having a national production of 1.2% of which had to import 3.7%. This work develops the classification of corn grains separating impurities to improve production times in the company 'Inversiones Santana'. For the simulation of the classification of corn grains with impurities, the Factory IO and TIA Portal software was used, where a vision sensor sends to the interactive screen of HMI, to then see the production time in the Anylogic software, for which a working time of 8 hours and 13.8 minutes was obtained initially without the automation proposal. Finally, implementing the improvement proposal, we obtained a recognition for the classification of corn grains to 100% of impurities, improving the production of 120 bags of corn, to be done in 5 hours and 3 minutes, improving by 38.92% the work processes.

Original language	American English
Title of host publication	Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	50-56
Number of pages	7
ISBN (Electronic)	9798350346572
DOIs	https://doi.org/10.1109/CMAEE58250.2022.00017
State	Indexed - 2022
Event	2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022 - Virtual, Online, China Duration: 16 Dec 2022 → 18 Dec 2022

Publication series

Name	Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022

Conference

Conference	2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022
Country/Territory	China
City	Virtual, Online
Period	16/12/22 → 18/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Anylogic
Automation
Bottleneck
Corn kernels
Factory IO
Optimization
Production
Tia Portal

Access to Document

10.1109/CMAEE58250.2022.00017

Cite this

Mallco-Segura, H. H., Chavez-Esteban, Y. M., Rojas-Santana, S. G., Llactahuaman-Rodriguez, I., Ortiz-Zacarias, J. R., & Vilchez-Baca, H. A. (2022). Automation system for the cleaning of yellow corn in the company 'Inversiones Santana'. In Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022 (pp. 50-56). (Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CMAEE58250.2022.00017

Mallco-Segura, Haru Helen ; Chavez-Esteban, Yanira Malena ; Rojas-Santana, Samir Genoary et al. / Automation system for the cleaning of yellow corn in the company 'Inversiones Santana'. Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 50-56 (Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022).

@inproceedings{9e2b911383fa443c86e3729268191296,

title = "Automation system for the cleaning of yellow corn in the company 'Inversiones Santana'",

abstract = "The demand for yellow corn according to the Ministry of Agrarian Development and Irrigation Midagri in the period 2020, Peru had an annual growth of 4.9%, having a national production of 1.2% of which had to import 3.7%. This work develops the classification of corn grains separating impurities to improve production times in the company 'Inversiones Santana'. For the simulation of the classification of corn grains with impurities, the Factory IO and TIA Portal software was used, where a vision sensor sends to the interactive screen of HMI, to then see the production time in the Anylogic software, for which a working time of 8 hours and 13.8 minutes was obtained initially without the automation proposal. Finally, implementing the improvement proposal, we obtained a recognition for the classification of corn grains to 100% of impurities, improving the production of 120 bags of corn, to be done in 5 hours and 3 minutes, improving by 38.92% the work processes.",

keywords = "Anylogic, Automation, Bottleneck, Corn kernels, Factory IO, Optimization, Production, Tia Portal",

author = "Mallco-Segura, {Haru Helen} and Chavez-Esteban, {Yanira Malena} and Rojas-Santana, {Samir Genoary} and Ivan Llactahuaman-Rodriguez and Ortiz-Zacarias, {Jhon Rodrigo} and Vilchez-Baca, {Herbert Antonio}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022 ; Conference date: 16-12-2022 Through 18-12-2022",

year = "2022",

doi = "10.1109/CMAEE58250.2022.00017",

language = "American English",

series = "Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Mallco-Segura, HH, Chavez-Esteban, YM, Rojas-Santana, SG, Llactahuaman-Rodriguez, I, Ortiz-Zacarias, JR & Vilchez-Baca, HA 2022, Automation system for the cleaning of yellow corn in the company 'Inversiones Santana'. in Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022. Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 50-56, 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022, Virtual, Online, China, 16/12/22. https://doi.org/10.1109/CMAEE58250.2022.00017

Automation system for the cleaning of yellow corn in the company 'Inversiones Santana'. / Mallco-Segura, Haru Helen; Chavez-Esteban, Yanira Malena; Rojas-Santana, Samir Genoary et al.
Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 50-56 (Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022).

Research output: Chapter in Book/Report › Conference contribution › peer-review

TY - GEN

T1 - Automation system for the cleaning of yellow corn in the company 'Inversiones Santana'

AU - Mallco-Segura, Haru Helen

AU - Chavez-Esteban, Yanira Malena

AU - Rojas-Santana, Samir Genoary

AU - Llactahuaman-Rodriguez, Ivan

AU - Ortiz-Zacarias, Jhon Rodrigo

AU - Vilchez-Baca, Herbert Antonio

PY - 2022

Y1 - 2022

N2 - The demand for yellow corn according to the Ministry of Agrarian Development and Irrigation Midagri in the period 2020, Peru had an annual growth of 4.9%, having a national production of 1.2% of which had to import 3.7%. This work develops the classification of corn grains separating impurities to improve production times in the company 'Inversiones Santana'. For the simulation of the classification of corn grains with impurities, the Factory IO and TIA Portal software was used, where a vision sensor sends to the interactive screen of HMI, to then see the production time in the Anylogic software, for which a working time of 8 hours and 13.8 minutes was obtained initially without the automation proposal. Finally, implementing the improvement proposal, we obtained a recognition for the classification of corn grains to 100% of impurities, improving the production of 120 bags of corn, to be done in 5 hours and 3 minutes, improving by 38.92% the work processes.

AB - The demand for yellow corn according to the Ministry of Agrarian Development and Irrigation Midagri in the period 2020, Peru had an annual growth of 4.9%, having a national production of 1.2% of which had to import 3.7%. This work develops the classification of corn grains separating impurities to improve production times in the company 'Inversiones Santana'. For the simulation of the classification of corn grains with impurities, the Factory IO and TIA Portal software was used, where a vision sensor sends to the interactive screen of HMI, to then see the production time in the Anylogic software, for which a working time of 8 hours and 13.8 minutes was obtained initially without the automation proposal. Finally, implementing the improvement proposal, we obtained a recognition for the classification of corn grains to 100% of impurities, improving the production of 120 bags of corn, to be done in 5 hours and 3 minutes, improving by 38.92% the work processes.

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KW - Bottleneck

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KW - Factory IO

KW - Optimization

KW - Production

KW - Tia Portal

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M3 - Conference contribution

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T3 - Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022

SP - 50

EP - 56

BT - Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022

Y2 - 16 December 2022 through 18 December 2022

ER -

Mallco-Segura HH, Chavez-Esteban YM, Rojas-Santana SG, Llactahuaman-Rodriguez I, Ortiz-Zacarias JR , Vilchez-Baca HA. Automation system for the cleaning of yellow corn in the company 'Inversiones Santana'. In Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 50-56. (Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022). doi: 10.1109/CMAEE58250.2022.00017

Automation system for the cleaning of yellow corn in the company 'Inversiones Santana'

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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