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

Author

Listed:
  • Mahmoud A. El-Sharief
  • Omar Salah
  • Mahmoud Heshmat

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.

Suggested Citation

  • Mahmoud A. El-Sharief & Omar Salah & Mahmoud Heshmat, 2023. "ANFIS and regression-based ANOVA for attribute and variable prediction: a case of quality characteristics in the cement bags industry," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 44(3), pages 336-350.
    • Handle: RePEc:ids:ijisen:v:44:y:2023:i:3:p:336-350
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