Title :
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
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;
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
DOI :
10.1109/ICIC.2010.130
