“Mineral deposit model”, “deposit modelling” are the terms commonly used, although imprecise. This is often identified as the application of computerized methods to the elaboration and presentation of geological information, in particular for the mining design. Deposit modelling is the mode of presentation of deposit features, which in the meaning of the authors of such presentation, describes the deposit features between the points of observations as best as possible. Deposit modelling has a long history (XVI-XVII centuries), however such a term was not used. Varied methods of cartographic presentation of deposits and their features were proposed. The progress in the presentation of the deposit in space using isolines maps has led to the separation of methods of deposits geometrisation. Over time, a simple mathematical statistics method was used to describe the deposit parameters, followed by geostatistical methods. Some of them were however not commonly used as too troublesome. The computer based approach to the presentation of geological data has an unquestionable value but is accompanied by the possibility of inappropriate formalized and erroneous interpretations and a presentation as to whether the basic rules of geological knowledge were neglected. Deposits modeling is a conceptual task and cannot be fully automated.

The paper presents the analysis of IT tools selection to develop a system of deposits geological modelling as well as production designing and scheduling in a hard coal mine. The presented concept creates a subject-matter foundation of the solution supporting the decision making system in the field of production activities performance, with the use of IT solutions and monitoring of end product quality, implemented under the paradigm of so-called Intelligent Mine.
A technological dialogue carried out by questionnaire surveys, supported with experts’ opinions, was applied to select the software for designing a system of deposit modelling, and for designing and scheduling of mining operations. Questionnaires originated based on presentations, covering the functionality in the field of geological data gathering, developing a geological spatial model of a bedded deposit, as well as designing and scheduling. The presented solutions were next evaluated, via questionnaires, by the employees of the company. In addition, 4 groups of criteria were prepared: technical (questionnaires), technical (experts), business, and IT, based on which the final evaluation was carried out. Ultimately, Solution 2 was selected as that, which to the highest degree satisfied technical, business, and IT requirements of the planned system.
The indicated IT solution was implemented and became one of basic tools for modelling hard coal deposits, an also for designing and scheduling of the mining operations in the company.

The effective implementation of new market strategies presents the mining enterprises with new challenges which require precise assessment instruments of the carried out business to be met at the level of mines, preparation plants, coking plants, and steelworks. These instruments include deposit, technological, and economic parameters, which together with a safety margin, determining the percentage reserve level of each parameter, shape the profitability of undertaken projects. The paper raises the issue of designing an IT architecture of the system for deposit modelling and mining production scheduling, implemented in the JSW SA. The development and application of the system was important with regard to the overriding objective of the Quality ProgramProgram of the JSW Capital Group, which is increasing the effectiveness of deposit and commercial product quality management. The paper also presents the required specification of the technical architecture necessary to implement systems and the actions required to integrate them with other IT systems of the JSW Group. The heuristic technical architecture of the JSW SA production line management system presented in the paper enables an analysis of the production process profitability in a carried account system in the area of mines, preparation plants, and coking plants of the mining group of the biggest European coal producer for metallurgical purposes.