The lead time estimation is significant activity in each
corporation that concerns with the breakdown of machines and
maintenance. An integrated algorithm for forecasting weekly
lead time based on Adaptive Neuro-Fuzzy Inference System
(ANFIS) is proposed in this study. First, an ANFIS model is
illustrated for the lead time forecasting simultaneously. The
lowest Mean Absolute Percentage Error (MAPE) value is used to
select the best model. In order to illustrate the applicability and
superiority of the proposed algorithm, the weekly lead time of
Motogen Company in Iran for 70 weeks is used and applied to
the proposed algorithm.
