Application of Artificial Neural Networks to Multiple Criteria Inventory Classification

被引：0

作者：

Simunovic, Katica ^{[1
]}

Simunovic, Goran ^{[1
]}

Saric, Tomislav ^{[1
]}

机构：

[1] JJ Strossmayer Univ Osijek, Fac Mech Engn, HR-35000 Slavonski Brod, Croatia

来源：

STROJARSTVO | 2009年 / 51卷 / 04期

关键词：

Analytical hierarchy process; Artificial intelligence; Multiple criteria inventory classfication; Neural network; ABC ANALYSIS; OPTIMIZATION;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Inventory classification is a very important part of inventory control which represents the technique of operational research discipline. A systematic approach 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.

引用

页码：313 / 321

页数：9

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