Designing a process quality control framework using Monte Carlo simulation

Jean P. Morán-Zabala; Juan M. Cogollo-Flórez

doi:10.15446/dyna.v90n229.107557

Publicado

2023-10-26

Designing a process quality control framework using Monte Carlo simulation

Diseño de un sistema de control de calidad de procesos usando simulación Monte Carlo

DOI:

https://doi.org/10.15446/dyna.v90n229.107557

Palabras clave:

decision making framework; Monte Carlo simulation; process variables analysis; quality control improvement (en)
sistema de toma de decisiones; simulación Monte Carlo; análisis de variables de procesos; mejoramiento del control de la calidad (es)

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Autores/as

Jean P. Morán-Zabala Instituto Tecnológico Metropolitano – ITM, Medellín, Colombia https://orcid.org/0000-0002-0929-248X
Juan M. Cogollo-Flórez Instituto Tecnológico Metropolitano – ITM, Medellín, Colombia https://orcid.org/0000-0002-6101-3134

Resumen (en)
Resumen (es)

Quality control seeks to collect and analyze large amounts of data to take appropriate corrective actions and ensure that products or services meet quality requirements. This study proposed a methodological framework to analyze the quality control process employing Monte Carlo simulation. The methodology consists of four steps: (i) Establishment of probability distributions, (ii) Construction of the mathematical model, (iii) Running the simulation, and (iv) Analysis of the results. The application of the methodological framework in a carbonated beverage production made it possible to ensure with 99% confidence that one of the most important quality characteristics of the product, the degrees Brix, varies in a range of ± 0.02. The results show the methodology allows to broadly map the process variables behavior and to make decisions on optimal levels for quality monitoring and control.

El Control de Calidad busca recoger y analizar grandes cantidades de datos para iniciar las acciones correctivas adecuadas, garantizando que los productos o servicios cumplen los requisitos de calidad. Este trabajo propone un marco metodológico para analizar el proceso de control de calidad mediante Simulación Monte Carlo. La metodología consta de cuatro pasos: (i) Determinación de las distribuciones de probabilidad, (ii) Construcción del modelo matemático, (iii) Ejecución de la simulación, and (iv) Análisis de resultados. La aplicación del marco metodológico en una producción de bebidas carbonatadas permitió asegurar con un 99% de confianza que una de las características de calidad más importantes del producto, los grados Brix, varía en un rango de ± 0.02. Los resultados muestran que la metodología permite mapear en forma amplia el comportamiento de las variables del proceso y tomar decisiones sobre niveles óptimos para el monitoreo y control de la calidad.

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Cómo citar

IEEE

[1]

J. P. Morán-Zabala y J. M. Cogollo-Flórez, «Designing a process quality control framework using Monte Carlo simulation», DYNA, vol. 90, n.º 229, pp. 19–24, oct. 2023.

ACM

[1]

Morán-Zabala, J.P. y Cogollo-Flórez, J.M. 2023. Designing a process quality control framework using Monte Carlo simulation. DYNA. 90, 229 (oct. 2023), 19–24. DOI:https://doi.org/10.15446/dyna.v90n229.107557.

ACS

(1)

Morán-Zabala, J. P.; Cogollo-Flórez, J. M. Designing a process quality control framework using Monte Carlo simulation. DYNA 2023, 90, 19-24.

APA

Morán-Zabala, J. P. & Cogollo-Flórez, J. M. (2023). Designing a process quality control framework using Monte Carlo simulation. DYNA, 90(229), 19–24. https://doi.org/10.15446/dyna.v90n229.107557

ABNT

MORÁN-ZABALA, J. P.; COGOLLO-FLÓREZ, J. M. Designing a process quality control framework using Monte Carlo simulation. DYNA, [S. l.], v. 90, n. 229, p. 19–24, 2023. DOI: 10.15446/dyna.v90n229.107557. Disponível em: https://revistas.unal.edu.co/index.php/dyna/article/view/107557. Acesso em: 23 mar. 2026.

Chicago

Morán-Zabala, Jean P., y Juan M. Cogollo-Flórez. 2023. «Designing a process quality control framework using Monte Carlo simulation». DYNA 90 (229):19-24. https://doi.org/10.15446/dyna.v90n229.107557.

Harvard

Morán-Zabala, J. P. y Cogollo-Flórez, J. M. (2023) «Designing a process quality control framework using Monte Carlo simulation», DYNA, 90(229), pp. 19–24. doi: 10.15446/dyna.v90n229.107557.

MLA

Morán-Zabala, J. P., y J. M. Cogollo-Flórez. «Designing a process quality control framework using Monte Carlo simulation». DYNA, vol. 90, n.º 229, octubre de 2023, pp. 19-24, doi:10.15446/dyna.v90n229.107557.

Turabian

Morán-Zabala, Jean P., y Juan M. Cogollo-Flórez. «Designing a process quality control framework using Monte Carlo simulation». DYNA 90, no. 229 (octubre 24, 2023): 19–24. Accedido marzo 23, 2026. https://revistas.unal.edu.co/index.php/dyna/article/view/107557.

Vancouver

1.

Morán-Zabala JP, Cogollo-Flórez JM. Designing a process quality control framework using Monte Carlo simulation. DYNA [Internet]. 24 de octubre de 2023 [citado 23 de marzo de 2026];90(229):19-24. Disponible en: https://revistas.unal.edu.co/index.php/dyna/article/view/107557

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1. Jean Paul Morán-Zabala, Jesus Alejandro Alzate-Grisales, Mario Alejandro Bravo-Ortiz, Mario Andrés Valencia-Diaz, Cristian Giovanny Gómez-Marín, Alejandra Maria Restrepo-Franco, Juan Miguel Cogollo-Flórez. (2024). A simulation-based optimization model for quality control in solid waste collection process. Production, 34 https://doi.org/10.1590/0103-6513.20240021.

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