A novel application of the EWMA Wilcoxon signed-rank control chart in the animal feed industry

Erna Tri Herdiani (), Mellyana Masa () and Andi Kresna Jaya ()

Edelweiss Applied Science and Technology, 2025, vol. 9, issue 5, 1324-1337

Abstract: Control charts are essential tools in analysis and decision-making for quality control in production processes. This study aims to develop and evaluate the performance of the Exponentially Weighted Moving Average (EWMA) Wilcoxon Signed-Rank nonparametric control chart in monitoring the fat content of animal feed products, specifically at PT Japfa Comfeed Indonesia Tbk Makassar Unit. This study introduces the EWMA Wilcoxon Signed-Rank method as a nonparametric alternative to address the limitations of the classical EWMA, which relies on the assumption of normal distribution. A comparison was conducted with the EWMA Sign control chart to assess its effectiveness in detecting process anomalies with λ parameter variations of 0.05, 0.3, and 0.8. The results indicate that the EWMA Wilcoxon Signed-Rank control chart demonstrates superior anomaly detection capability compared to the EWMA Sign control chart for all tested λ values. This method is more effective in identifying small changes in the animal feed production process. The conclusion of this study is that the EWMA Wilcoxon Signed-Rank control chart has proven to be a more reliable tool for quality control in the animal feed industry. Implementing this method can enhance accuracy in detecting process deviations, thus helping companies maintain product quality consistency.

Keywords: Animal feed quality monitoring; EWMA Wilcoxon signed-rank control chart; Fat content anomaly detection; Nonparametric statistical process control; Small shift detection in non-normal data. (search for similar items in EconPapers)
Date: 2025
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