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The forecast of coal sales taking the factors influencing the demand for hard coal into account

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

In order to prepare a coal company for the development of future events, it is important to predict how can evolve the key environmental factors. This article presents the most important factors influencing the hard coal demand in Poland. They have been used as explanatory variables during the creation of a mathematical model of coal sales. In order to build the coal sales forecast, the authors used the ARMAX model. Its validation was performed based on such accuracy measures as: RMSE, MAPE and Theil’s index. The conducted studies have allowed the statistically significant factors out of all factors taken into account to be identified. They also enabled the creation of the forecast of coal sales volume in Poland in the coming years. To maintain the predictability of the forecast, the mining company should continually control the macro environment. The proper demand forecast allows for the flexible and dynamic adjustment of production or stock levels to market changes. It also makes it possible to adapt the product range to the customer’s requirements and expectations, which, in turn, translates into increased sales, the release of funds, reduced operating costs and increased financial liquidity of the coal company. Creating a forecast is the first step in planning a hard coal mining strategy. Knowing the future needs, we are able to plan the necessary level of production factors in advance. The right strategy, tailored to the environment, will allow the company to eliminate unnecessary costs and to optimize employment. It will also help the company to fully use machines and equipment and production capacity. Thanks to these efforts, the company will be able to reduce production costs and increase operating profit, thus survive in a turbulent environment.

Translated title of the contributionPrognoza wielkości sprzedaży węgla z uwzględnieniem czynników kształtujących popyt na węgiel kamienny
Original languageEnglish
Pages (from-to)129-140
Number of pages12
JournalGospodarka Surowcami Mineralnymi / Mineral Resources Management
Volume35
Issue number1
DOIs
Publication statusPublished - 2019

Keywords

  • ARMAX model
  • Coal sales
  • Environmental factors
  • Forecasting

ASJC Scopus subject areas

  • Economic Geology

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