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Stochastic Model of Inventory Control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50004916" target="_blank" >RIV/62690094:18450/16:50004916 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stochastic Model of Inventory Control

  • Original language description

    Optimizing inventory control belongs to fundamental optimization tasks of management of various companies. If some of the variables of the inventory control problem have a stochastic character, it is useful to simulate the problem and subsequently accomplish analysis of obtained data. Such an analysis allows to choose the optimal inventory control. The present paper describes one of the possible variants of solving such a problem. First, the selected model of inventory management is described and then its implementation in MATLAB is characterized. Finally, the selected parameters for a particular simulation are specified and an essential description of gained data are presented.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IBIMA 2016

  • ISBN

    978-0-9860419-6-9

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    707-711

  • Publisher name

    IBIMA

  • Place of publication

    New York

  • Event location

    Milano

  • Event date

    May 4, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000381172300080