DocumentCode
2084237
Title
The Product Safety Stock Prediction Method Based on Artificial Neural Network
Author
Zhao Ping ; Liu Jingjing
Author_Institution
Wuhan Coll. of Econ., Wuhan, China
Volume
1
fYear
2010
fDate
7-8 Aug. 2010
Firstpage
299
Lastpage
302
Abstract
When selling products, in order to prevent products stockout due to the uncertainty events, enterprises usually reserves a certain amount of safety stock. The amount of safety stock is directly related to inventory costs. How to calculate the amount of safety stock, the traditional method of using formulas to calculate directly has many limitations. This paper used artificial neural network to predict the amount of safety stock. The experimental result shows high accuracy.
Keywords
neural nets; prediction theory; production engineering computing; stock control; uncertainty handling; artificial neural network; product safety stock prediction method; product stockout prevention; uncertainty events; Artificial neural networks; Customer service; Fluctuations; Neurons; Safety; Training; artificial neural network; prediction; safety stock; stockout;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location
Xi´an
Print_ISBN
978-1-4244-7669-5
Electronic_ISBN
978-1-4244-7670-1
Type
conf
DOI
10.1109/ISME.2010.190
Filename
5572536
Link To Document