| Article ID: | iaor200539 |
| Country: | United States |
| Volume: | 146 |
| Issue: | 2/3 |
| Start Page Number: | 393 |
| End Page Number: | 401 |
| Publication Date: | Dec 2003 |
| Journal: | Applied Mathematics and Computation |
| Authors: | Benkherouf Lakdere, Aggoun Lakhdar |
| Keywords: | markov processes |
This article is an application of Hidden Markov models techniques to partially observed inventory models. A list of discrete-time models is available and the objective is to select the most likely model by observing the demand and replenishment processes which themselves are modulated by some Hidden Markov chains.