By Topic

Simulation for the Optimization of (s, S) Inventory System and Krush-Kuhn-Tucker Testing

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
$31 $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

3 Author(s)
Jie Wan ; Sch. of Manage., Hebei Univ. of Technol., Tianjin ; Hongyan Chen ; Li Li

We consider the simulation of constrained optimization problem, the (s, S) inventory system with stochastic lead time and a service level constraint. We allow the orders to cross in time which makes the problem more complicated. We establish the (s, S) inventory model by using Arean and find the estimators by OptQuest. We try to solve several issues: 1) what the true optimal values of (s, S) are in this specified conditions; 2) whether the OptQuest can find the optimal values; 3) how we can prove the outcomes are the estimators of true optimal values. In our conclusion, we give the true optimal estimator of (s*, S*) pairs estimated by Brute Force. Further, we prove that OptQuest can be used in solving the stochastic constrained optimization problem effectively. By testing estimators' KKT conditions under the method of Bettonvil [16], we prove that we can find the good estimator of (s*, S*).

Published in:

Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on

Date of Conference:

21-25 Sept. 2007