Table of Contents
Journal of Quality and Reliability Engineering
Volume 2015, Article ID 941879, 9 pages
Research Article

Planning for Reliable Coal Quality Delivery Considering Geological Variability: A Case Study in Polish Lignite Mining

1Department of Surface Mining, AGH University of Science and Technology, Mickiewicza Avenue 30, 30-059 Krakow, Poland
2Department of Mineral Resources Acquisition, MEERI PAS, Wybickiego Street 7, 31-261 Krakow, Poland
3Faculty of Civil Engineering and Geoscience, Delft University of Technology, Building 23, Stevinweg 1, P.O. Box 5048, 2600 GA Delft, Netherlands

Received 20 August 2014; Accepted 9 January 2015

Academic Editor: Michael A. Delichatsios

Copyright © 2015 Wojciech Naworyta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The aim of coal quality control in coal mines is to supply power plants daily with extracted raw material within certain coal quality constraints. On the example of a selected part of a lignite deposit, the problem of quality control for the run-of-mine lignite stream is discussed. The main goal is to understand potential fluctuations and deviations from production targets dependent on design options before an investment is done. A single quality parameter of the deposit is selected for this analysis—the calorific value of raw lignite. The approach requires an integrated analysis of deposit inherent variability, the extraction sequence, and the blending option during material transportation. Based on drill-hole data models capturing of spatial variability of the attribute of consideration are generated. An analysis based on two modelling approaches, Kriging and sequential Gaussian simulation, reveals advantages and disadvantages lead to conclusions about their suitability for the control of raw material quality. In a second step, based on a production schedule, the variability of the calorific value in the lignite stream has been analysed. In a third step the effect of different design options, multiple excavators and a blending bed, was investigated.