Visualization of Key Performance Indicators in the Production System in the Context of Industry 4.0

Carlos A. Garcia; Gustavo Caiza; Diego Guizado; Jose E. Naranjo; Alexandra Ortiz; Paulina Ayala; Marcelo V. Garcia

doi:10.1016/j.ifacol.2023.10.310

Visualization of Key Performance Indicators in the Production System in the Context of Industry 4.0

Carlos A. Garcia, Gustavo Caiza, Diego Guizado, Jose E. Naranjo, Alexandra Ortiz, Paulina Ayala, Marcelo V. Garcia

Grupo de Investigación en Electrónica Control y Automatización (GIECA)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

Industry 4.0 has revolutionized the methods to automate and analyze a process, as is the case of implementing Key Performance Indicators (KPIs) that reflect the correct functioning of a working task. Besides, the use of the Internet of Things (IoT), Cyber-Physical Systems (CPS), and other technologies in Industry 4.0 provide an enormous amount of data. For these reasons, this article presents the design of a methodology that contains stages of process analysis, design, implementation, and validation to obtain an interface that shows key production indicators in a simple and friendly way. The cloud platform receives the information from the machine using OPC and MQTT protocols implemented in a low-cost hardware device without changing the current automation hardware platform.

Idioma original	Inglés
Título de la publicación alojada	IFAC-PapersOnLine
Editores	Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
Editorial	Elsevier B.V.
Páginas	6582-6587
Número de páginas	6
Edición	2
ISBN (versión digital)	9781713872344
DOI	https://doi.org/10.1016/j.ifacol.2023.10.310
Estado	Publicada - 1 jul. 2023
Evento	22nd IFAC World Congress - Yokohama, Japón Duración: 9 jul. 2023 → 14 jul. 2023

Serie de la publicación

Nombre	IFAC-PapersOnLine
Número	2
Volumen	56
ISSN (versión digital)	2405-8963

Conferencia

Conferencia	22nd IFAC World Congress
País/Territorio	Japón
Ciudad	Yokohama
Período	9/07/23 → 14/07/23

Nota bibliográfica

Publisher Copyright:
Copyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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10.1016/j.ifacol.2023.10.310

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Garcia, C. A., Caiza, G., Guizado, D., Naranjo, J. E., Ortiz, A., Ayala, P., & Garcia, M. V. (2023). Visualization of Key Performance Indicators in the Production System in the Context of Industry 4.0. En H. Ishii, Y. Ebihara, J. Imura, & M. Yamakita (Eds.), IFAC-PapersOnLine (2 ed., pp. 6582-6587). (IFAC-PapersOnLine; Vol. 56, N.º 2). Elsevier B.V.. https://doi.org/10.1016/j.ifacol.2023.10.310

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title = "Visualization of Key Performance Indicators in the Production System in the Context of Industry 4.0",

abstract = "Industry 4.0 has revolutionized the methods to automate and analyze a process, as is the case of implementing Key Performance Indicators (KPIs) that reflect the correct functioning of a working task. Besides, the use of the Internet of Things (IoT), Cyber-Physical Systems (CPS), and other technologies in Industry 4.0 provide an enormous amount of data. For these reasons, this article presents the design of a methodology that contains stages of process analysis, design, implementation, and validation to obtain an interface that shows key production indicators in a simple and friendly way. The cloud platform receives the information from the machine using OPC and MQTT protocols implemented in a low-cost hardware device without changing the current automation hardware platform.",

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author = "Garcia, {Carlos A.} and Gustavo Caiza and Diego Guizado and Naranjo, {Jose E.} and Alexandra Ortiz and Paulina Ayala and Garcia, {Marcelo V.}",

note = "Publisher Copyright: Copyright {\textcopyright} 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/); 22nd IFAC World Congress ; Conference date: 09-07-2023 Through 14-07-2023",

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Garcia, CA, Caiza, G, Guizado, D, Naranjo, JE, Ortiz, A, Ayala, P & Garcia, MV 2023, Visualization of Key Performance Indicators in the Production System in the Context of Industry 4.0. En H Ishii, Y Ebihara, J Imura & M Yamakita (eds.), IFAC-PapersOnLine. 2 ed., IFAC-PapersOnLine, n.º 2, vol. 56, Elsevier B.V., pp. 6582-6587, 22nd IFAC World Congress, Yokohama, Japón, 9/07/23. https://doi.org/10.1016/j.ifacol.2023.10.310

Visualization of Key Performance Indicators in the Production System in the Context of Industry 4.0. / Garcia, Carlos A.; Caiza, Gustavo; Guizado, Diego et al.
IFAC-PapersOnLine. ed. / Hideaki Ishii; Yoshio Ebihara; Jun-ichi Imura; Masaki Yamakita. 2. ed. Elsevier B.V., 2023. p. 6582-6587 (IFAC-PapersOnLine; Vol. 56, N.º 2).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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T1 - Visualization of Key Performance Indicators in the Production System in the Context of Industry 4.0

AU - Garcia, Carlos A.

AU - Caiza, Gustavo

AU - Guizado, Diego

AU - Naranjo, Jose E.

AU - Ortiz, Alexandra

AU - Ayala, Paulina

AU - Garcia, Marcelo V.

PY - 2023/7/1

Y1 - 2023/7/1

N2 - Industry 4.0 has revolutionized the methods to automate and analyze a process, as is the case of implementing Key Performance Indicators (KPIs) that reflect the correct functioning of a working task. Besides, the use of the Internet of Things (IoT), Cyber-Physical Systems (CPS), and other technologies in Industry 4.0 provide an enormous amount of data. For these reasons, this article presents the design of a methodology that contains stages of process analysis, design, implementation, and validation to obtain an interface that shows key production indicators in a simple and friendly way. The cloud platform receives the information from the machine using OPC and MQTT protocols implemented in a low-cost hardware device without changing the current automation hardware platform.

AB - Industry 4.0 has revolutionized the methods to automate and analyze a process, as is the case of implementing Key Performance Indicators (KPIs) that reflect the correct functioning of a working task. Besides, the use of the Internet of Things (IoT), Cyber-Physical Systems (CPS), and other technologies in Industry 4.0 provide an enormous amount of data. For these reasons, this article presents the design of a methodology that contains stages of process analysis, design, implementation, and validation to obtain an interface that shows key production indicators in a simple and friendly way. The cloud platform receives the information from the machine using OPC and MQTT protocols implemented in a low-cost hardware device without changing the current automation hardware platform.

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Visualization of Key Performance Indicators in the Production System in the Context of Industry 4.0

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