The Importance of Data in the Modeling Process of the Realized Net Coal Production Level

Authors

  • Jagoda LINCZOWSKA Author
  • Barbara KOWAL Author
  • Marek KĘSEK Author
  • Paweł PIWOWARCZYK Author

DOI:

https://doi.org/10.29227/IM-2025-01-20

Keywords:

coal mining, data analysis, modeling, data collection, data quality, production process

Abstract

Data analysis and model building are important elements of enterprise management, especially in mining, where the risk of conducting business is high. The article presents the procedure of building an econometric model that presents the realized level of net coal extraction. The procedure of model construction was carried out using one of the data selection methods, namely the graph method. Although the process of selecting variables for the model is correct, it is not sufficient for the correctness of the model itself. The example given shows what problems may arise and answers the question of whether modeling alone is a sufficient process to describe the analyzed phenomenon.

Author Biographies

  • Jagoda LINCZOWSKA

    student; AGH University of Krakow, Poland

  • Barbara KOWAL

    Ph.D., DSc, Eng.; AGH University of Krakow, Poland, ORCID: 0000-0003-4643-1140

  • Marek KĘSEK

    Ph.D., DSc, Eng.; AGH University of Krakow, Poland, ORCID: 0000-0001-6217-8435

  • Paweł PIWOWARCZYK

    Południowy Koncern Węglowy S. A.; Główny inżynier, Kierownik Działu Inwestycji i Przygotowania Produkcji

Published

2025-07-01

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