Convergence of estimated optimal inventory levels in models with probabilistic demands

  • C.N. Bouza

Abstract

The behavior of estimations of the optimal inventory level is analyzed. Two models are studied. The demands follow unknown probability distribution function. The included density functions are estimated and a plug-in rule is suggested for computing estimates of the optimal levels. Two search algorithms are proposed and compared using Monte Carlo experiments.
Published
2016-10-11
How to Cite
BOUZA, C.N.. Convergence of estimated optimal inventory levels in models with probabilistic demands. Yugoslav Journal of Operations Research, [S.l.], v. 13, n. 2, oct. 2016. ISSN 2334-6043. Available at: <https://yujor.fon.bg.ac.rs/index.php/yujor/article/view/211>. Date accessed: 05 dec. 2024.
Citation Formats
Issue
Vol 13 No 2 (2003): Vol. 13 No. 2
Section
Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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