Convergence of estimated optimal inventory levels in models with probabilistic demands

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...

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Bibliographic Details
Main Author: Bouza Carlos N.
Format: Article
Language:English
Published: University of Belgrade 2003-01-01
Series:Yugoslav Journal of Operations Research
Subjects:
backorders
simulated annealing
density function estimation
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-0243/2003/0354-02430302217B.pdf
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spelling doaj-8db74af8530744a4bdcfd9bc33e3750b2020-11-25T01:47:10ZengUniversity 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
collection DOAJ
language English
format Article
sources DOAJ
author Bouza Carlos N.
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
author_facet Bouza Carlos N.
author_sort Bouza Carlos N.
title 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_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_sort convergence of estimated optimal inventory levels in models with probabilistic demands
publisher University of Belgrade
series Yugoslav Journal of Operations Research
issn 0354-0243
1820-743X
publishDate 2003-01-01
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. .
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
_version_ 1725015768069832704

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