Comparing MADM and artificial neural network methods for evaluating suppliers in multiple sourcing decision
Comparing MADM and artificial neural network methods for evaluating suppliers in multiple sourcing decision
M. S. Asgari,A. Abbasi
TLDR
The results indicate that ANN could perform relatively better than MADM methods in evaluating and selecting suppliers in multiple sourcing and comparing two efficient and effective methods.
Abstract
Article history: Received July 10, 2014 Accepted December 17, 2014 Available online December 18 2014 This research seeks to examine and introduce an appropriate method for evaluating and selecting suppliers in multiple sourcing and compares two efficient and effective methods, i.e. MADM and ANN for selecting the suppliers. The results of using the methods are compared with each other by using the measurement criteria such as RMSE, NRMSE, and R2 and they indicate that ANN could perform relatively better than MADM methods.