An artificial neural network model for optimization of finished goods inventory
In this paper, an artificial neural network (ANN) model is developed to determine the optimum level of finished goods inventory as a function of product demand, setup, holding, and material costs. The model selects a feed-forward back-propagation ANN with four inputs, ten hidden neurons and one outp...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2011-04-01
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| Series: | International Journal of Industrial Engineering Computations |
| Subjects: | |
| Online Access: | http://www.growingscience.com/ijiec/Vol2/IJIEC_2011_3.pdf |