Stochastic optimization model for random demand stocks, with storage expenses accounting

The paper presents a possible stock level optimization method, based on a stochastic model. The consume demand for the stored product is considered a discrete random quantity. It was adopted the hypothesis that the repartition law of the demand probability is known for the time interval of stock exi...

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Bibliographic Details
Main Authors: Ciolan Gheorghe, Preda Ion, Nastasoiu Mircea
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201712605001