Convergence of estimated optimal inventory levels in models with probabilistic demands
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 algorit...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Belgrade
2003-01-01
|
Series: | Yugoslav Journal of Operations Research |
Subjects: | |
Online Access: | http://www.doiserbia.nb.rs/img/doi/0354-0243/2003/0354-02430302217B.pdf |
_version_ | 1818144051566739456 |
---|---|
author | Bouza Carlos N. |
author_facet | Bouza Carlos N. |
author_sort | Bouza Carlos N. |
collection | DOAJ |
description | 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. . |
first_indexed | 2024-12-11T11:41:25Z |
format | Article |
id | doaj.art-8db74af8530744a4bdcfd9bc33e3750b |
institution | Directory Open Access Journal |
issn | 0354-0243 1820-743X |
language | English |
last_indexed | 2024-12-11T11:41:25Z |
publishDate | 2003-01-01 |
publisher | University of Belgrade |
record_format | Article |
series | Yugoslav Journal of Operations Research |
spelling | doaj.art-8db74af8530744a4bdcfd9bc33e3750b2022-12-22T01:08:36ZengUniversity of BelgradeYugoslav Journal of Operations Research0354-02431820-743X2003-01-0113221722710.2298/YJOR0302217BConvergence of estimated optimal inventory levels in models with probabilistic demandsBouza Carlos N.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. .http://www.doiserbia.nb.rs/img/doi/0354-0243/2003/0354-02430302217B.pdfbackorderssimulated annealingdensity function estimation |
spellingShingle | Bouza Carlos N. Convergence of estimated optimal inventory levels in models with probabilistic demands Yugoslav Journal of Operations Research backorders simulated annealing density function estimation |
title | Convergence of estimated optimal inventory levels in models with probabilistic demands |
title_full | Convergence of estimated optimal inventory levels in models with probabilistic demands |
title_fullStr | Convergence of estimated optimal inventory levels in models with probabilistic demands |
title_full_unstemmed | Convergence of estimated optimal inventory levels in models with probabilistic demands |
title_short | Convergence of estimated optimal inventory levels in models with probabilistic demands |
title_sort | convergence of estimated optimal inventory levels in models with probabilistic demands |
topic | backorders simulated annealing density function estimation |
url | http://www.doiserbia.nb.rs/img/doi/0354-0243/2003/0354-02430302217B.pdf |
work_keys_str_mv | AT bouzacarlosn convergenceofestimatedoptimalinventorylevelsinmodelswithprobabilisticdemands |