Title of article :
Comparing MADM and artificial neural network methods for evaluating suppliers in multiple sourcing decision
Author/Authors :
Asgari، Moloud Sadat نويسنده Master of Art in industrial Management, Management Department, Shiraz University, Shiraz, Iran , , Abbasi، Abbas نويسنده Assistant Prof, Shiraz university, Shiraz, Iran ,
Issue Information :
فصلنامه با شماره پیاپی 12 سال 2015
Pages :
10
From page :
193
To page :
202
Abstract :
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.
Journal title :
Decision Science Letters
Serial Year :
2015
Journal title :
Decision Science Letters
Record number :
1885782
Link To Document :
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