Abstract

MORAN-ZABALA, Jean P.  and  COGOLLO-FLOREZ, Juan M.. Designing a process quality control framework using Monte Carlo simulation. Dyna rev.fac.nac.minas [online]. 2023, vol.90, n.229, pp.19-24.  Epub Mar 13, 2024. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v90n229.107557.

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.

Keywords : decision making framework; Monte Carlo simulation; process variables analysis; quality control improvement.

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