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
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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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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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
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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
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