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

Authors: Mahmoud A. El-Sharief; Omar Salah; Mahmoud Heshmat

Addresses: Mechanical Engineering Department, Assiut University, Egypt ' Mechanical Engineering Department, Assiut University, Egypt ' Mechanical Engineering Department, Assiut University, Egypt

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.

DOI: 10.1504/IJISE.2023.132283

International Journal of Industrial and Systems Engineering, 2023 Vol.44 No.3, pp.336 - 350

Received: 25 Dec 2020
Accepted: 23 Aug 2021
Published online: 14 Jul 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article