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OPTIMIZATION OF REFRACTORY MATERIAL DISTRIBUTION IN A METALLURGICAL COMPANY

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F15%3A86096988" target="_blank" >RIV/61989100:27360/15:86096988 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    OPTIMIZATION OF REFRACTORY MATERIAL DISTRIBUTION IN A METALLURGICAL COMPANY

  • Original language description

    Basic types of decision-making tasks include problems with alternative options for decision making. The task of managers is to choose a way that will lead to an optimal solution based on assessing certain criteria. An example of these tasks is the given problem that falls into the category of optimizing transportation routes, i.e. transportation tasks, in general. This article aims to determine the optimal distribution of refractory material in a metallurgical company with minimal transport costs.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Carpathian Logistics Congress 2015 : November, 4th-6th 2015, Priessnitz Spa, Jesenik, Czech Republic, EU

  • ISBN

    978-80-87294-64-2

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    4

  • Pages from-to

    380-383

  • Publisher name

    Tanger

  • Place of publication

    Ostrava

  • Event location

    Jeseník

  • Event date

    Nov 4, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000387950100058