STATISTICAL MODELLING AND EVALUATION OF THE STABILITY OF THE TECHNOLOGICAL PROCESS OF COTTON OIL PRODUCTION BY ACID NUMBER INDICATOR ON THE EXAMPLE OF «SHYMKENTMAY» JSC
Authors
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А.Е. Otunshiyeva
Al-Farabi Kazakh National University, Almaty, Kazakhstan
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S.А. Bolegenova
Al-Farabi Kazakh National University, Almaty, Kazakhstan
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S.S. Vetokhin
Belarusian State Technological University, Minsk, Republic of Belarus
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А.N. Nikitenko
Belarusian State Technological University, Minsk, Republic of Belarus
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Zh.К. Shortanbayeva
Al-Farabi Kazakh National University, Almaty, Kazakhstan
DOI:
https://doi.org/10.55956/YTDR9845Keywords:
cottonseed oil, acid value, statistical control, control charts, process stability, Cp, Cpk, SCADA, quality managementAbstract
This article presents the results of statistical modeling conducted to assess the stability of the cotton oil production process at «Shymkentmay» JSC. The main focus of the study was the acid value, a key parameter that directly affects the quality and shelf life of vegetable oil. Process stability was monitored using Shewhart control charts. Additionally, process capability indices Cp and Cpk were calculated and compared with actual production data. Based on these metrics, the nature and extent of process variations at various stages (pressing, filtration, vacuum drying) were identified, allowing the influence of specific operational modes on product quality to be determined. The introduction of statistical control methods improved process stability, ensured consistent quality, and confirmed compliance with national (ST RK) and international (ISO 660) standards. The average acid value of 0.30-0.32 mg KOH/g indicated conformity with regulatory requirements. The article also provides practical recommendations for process optimization, such as raw material quality control, stabilization of temperature regimes, and staff training. These measures aim to enhance product reliability and safety while strengthening consumer confidence.
