By Topic

Optimal control of a failure-prone machine under random demand

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)
Kogan, K. ; Dept. of Interdisciplinary Studies, Bar-Ilan Univ., Ramat-Gan, Israel ; Lou, S. ; Herbon, A.

In this note, we consider a manufacturing system with random machine breakdowns, which is characterized by a fairly general probability distribution. The demand is not known during the finite planning horizon except the probability distribution of the cumulative demand at the end of the horizon. We propose a decomposition method that features a feedback control. Simulation is used to compare the average cost of the proposed method and that of the optimal solution. Our results of more than a hundred examples show that the difference between the two is less than 2.4%.

Published in:

Automatic Control, IEEE Transactions on  (Volume:51 ,  Issue: 5 )