Original scientific paper
Application of Artificial Neural Networks to Multiple Criteria Inventory Classification
Katica ŠIMUNOVIĆ
; Mechanical Engineering Faculty, J. J. Strossmayer University of Osijek,Slavonski Brod, Croatia
Goran ŠIMUNOVIĆ
; Mechanical Engineering Faculty, J. J. Strossmayer University of Osijek,Slavonski Brod, Croatia
Tomislav ŠARIĆ
; Mechanical Engineering Faculty, J. J. Strossmayer University of Osijek,Slavonski Brod, Croatia
Abstract
Inventory classification is a very important part of inventory control which represents the technique of operational research discipline. A systematicapproach to the inventory control and classification may have a significant influence on company competitiveness. The paper describes the results obtained by investigating the application of neural networks in multiple criteria inventory classification. Various structures of a back-propagation neural network have been analysed and the optimal one with the minimum Root Mean Square error selected. The predicted results are compared to those obtained by the multiple criteria classification using the analytical hierarchy process.
Keywords
Analytical hierarchy process; Artificial intelligence; Multiple criteria inventory classification; Neural network
Hrčak ID:
48243
URI
Publication date:
31.8.2009.
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