ANFIS and regression-based ANOVA for attribute and variable prediction: a case of quality characteristics in the cement bags industry

Mahmoud A. El-Sharief, Omar Salah and Mahmoud Heshmat

International Journal of Industrial and Systems Engineering, 2023, vol. 44, issue 3, 336-350

Abstract: Efficient models are significant to manufacturing systems for the purpose of prediction and performance evaluation. Traditionally, regression models have been widely held for this purpose; recently, soft computing models are widely used. Efficiency of soft computing models depends on the size of the problem dataset. In this paper, we conduct a regression-based ANOVA study and ANFIS for cement bags production. Quality characteristics of bag dimensions are considered. The results show that ANFIS can predict attributes and variables of production lines more than regression-based ANOVA.

Keywords: ANFIS; ANOVA; regression; manufacturing systems. (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:44:y:2023:i:3:p:336-350

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