View article

The life cycle of tile products are decreasing especially for customized products. The demand changes also fluctuate from time to time for each product type. This phenomena created crucial issue in meeting customers’ demands within required due date. The occurrences of uncertain conditions caused the production line performance not able to meet the requirement because they faced uncertain changes in setup time, machinery breakdown time, lead time of manufacturing, and scraps. Hence, an accurate estimation on the production line in the presence of these uncertainties is required. Robust decision making on production line could be made when an accurate estimation of uncertain variables is modeled. Two approaches based on Bayesian inference and adaptive neuro-Fuzzy inference system (ANFIS) were utilized in this study for models development to estimate the effect of uncertain variables of production …