| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1142878 | Operations Research Letters | 2010 | 6 Pages |
Abstract
We formulate the multiperiod, distribution-free perishable inventory problem as a problem of prediction with expert advice and apply an online learning method (the Weak Aggregating Algorithm) to solve it. We show that the asymptotic average performance of this method is as good as that of any time-dependent stocking rule in a given parametric class.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Discrete Mathematics and Combinatorics
Authors
Tatsiana Levina, Yuri Levin, Jeff McGill, Mikhail Nediak, Vladimir Vovk,