Stochastic (s, S) Inventory System Simulation and Optimization Based on BP Neural Network

Author

Zhao, Wen-peng ; Ji, Shou-wen

Author_Institution

Sch. of Traffic & Transp., Beijing Jiao Tong Univ., Beijing, China

Volume

2

fYear

2010

fDate

4-6 June 2010

Firstpage

143

Lastpage

146

Abstract

Aiming to solve the problem that the previous stochastic (s, S) inventory method ignored the qualitative factors, which will lead to the calculation of the results unable to reflect the actual reorder points. We use BP neural network to build model that can quantify the qualitative factors, and optimize the program of inventory algorithm through analyzing the conclusions of the inventory system simulation. Finally, an example analysis shows the feasibility of this program.

Keywords

backpropagation; inventory management; neural nets; stochastic programming; BP neural network; backpropagation; inventory system optimization; inventory system simulation; qualitative factors; stochastic inventory system; Cost function; Frequency; Neural networks; Optimization methods; Predictive models; Stochastic processes; Stochastic systems; Telecommunication traffic; Traffic control; Transportation; BP neural network; S) inventory; reorder point; stochastic (s; system simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing (ICIC), 2010 Third International Conference on

Conference_Location

Wuxi, Jiang Su

Print_ISBN

978-1-4244-7081-5

Electronic_ISBN

978-1-4244-7082-2

Type

conf

DOI

10.1109/ICIC.2010.130

Filename

5513887