Simulation approach and code functionality assessment using deterministic and Monte Carlo codes system for U-235 core-follow depletion calculation

Al‐Qahtani, Mohammed; Buijs, A.; Day, S.E.

doi:10.1016/j.pnucene.2020.103501

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2023

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“…Improved simulation performance codes and proper prediction are crucial to increase decision accuracy and analysis quality, but they come at a high computational and monetary cost [10]. Consequently, this article develops a methodological framework for process quality control that integrates MCS to determine how variable product quality can be.…”

Section: Introductionmentioning

confidence: 99%

Designing a process quality control framework using Monte Carlo simulation

Morán-Zabala,

Cogollo-Flórez

2023

DYNA

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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.

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Section: Introductionmentioning

confidence: 99%