Optimisation of Economic Order Quantity Using Neural Networks Approach
نویسندگان
چکیده
منابع مشابه
Optimisation of Economic Order Quantity Using Neural Networks Approach
In this paper, a Back Propagation-Artificial Neural Network (BPANN) has been adapted for predicting the required car parts quantities in a real and major auto parts supplier chain. The conventional approach to determine the parts requirements is the Economic Order Quantity (EOQ) method. The ability of neural models to learn, particularly their capability of handling large amounts of data simult...
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The economic order quantity (EOQ) and the economic production quantity (EPQ) are well-known and commonly used inventory control techniques. The standard results are easy to apply but are based on a number of unrealistic assumptions. One of the assumption is that the demand is normally distributed in any interval. In several practical cases the assumption about independence of successive demands...
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ژورنال
عنوان ژورنال: Doğuş Üniversitesi Dergisi
سال: 2001
ISSN: 1302-6739
DOI: 10.31671/dogus.2019.376