By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wen-peng Zhao ; Sch. of Traffic & Transp., Beijing Jiao Tong Univ., Beijing, China ; Shou-wen Ji

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.

Published in:

2010 Third International Conference on Information and Computing  (Volume:2 )

Date of Conference:

4-6 June 2010