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DETERMINATION OF IRON PROCUREMENT STRATEGY FOR MANUFACTURING COMPANIES

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002723" target="_blank" >RIV/75081431:_____/23:00002723 - isvavai.cz</a>

  • Result on the web

    <a href="https://jssidoi.org/jesi/article/1145" target="_blank" >https://jssidoi.org/jesi/article/1145</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    DETERMINATION OF IRON PROCUREMENT STRATEGY FOR MANUFACTURING COMPANIES

  • Original language description

    The objective of this paper is to evaluate the price development of iron (steel rebar and hot rolled coil steel) on commodity exchanges, to determine the dependence of the price of iron on prices of other major commodities (crude oil and natural gas), to forecast its future development and to propose a particular iron procurement strategy for manufacturing companies in the South Bohemian Region until the end of 2028. The content analysis method was selected to evaluate the price development. It was also used to assess the dependence of iron prices on other major commodities, which was considered using the correlation analysis method. The artificial neural network method, multilayer perceptron networks, was selected and used to forecast future price development. All calculations are performed using Statistica software (version 13). Linear regression is conducted using different functions, with 1,000 neural structures being generated each time, out of which 5 structures showing the best characteristics are selected. These are retained to forecast future prices for the 2023-2028 period in three experiments. Results are presented in tables and graphs processed in Microsoft Excel. Based on the selected variants of future steel price forecasting, a specific iron procurement strategy can be recommended for manufacturing companies in the South Bohemian Region until the end of 2028.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Entrepreneurship and Sustainability Issues

  • ISSN

    2345-0282

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    LT - LITHUANIA

  • Number of pages

    18

  • Pages from-to

    331-348

  • UT code for WoS article

    001131808300008

  • EID of the result in the Scopus database