|Spoluautoři SAMOLEJOVÁ Andrea, JANOVSKÁ Kamila, LAMPA Martin|
The main objectives of blast furnace operators include the maximum production of pig iron of the required chemical composition at minimal cost. This can be ensured only with quality raw material base and a trouble-free operation of the blast furnace. The evaluation of ore raw materials and their comparison is quite complicated due to the number of monitored parameters affecting the blast furnace process. Current methods used for evaluating the quality of the ore blast furnace raw materials can be generally divided into two distinct groups. The first one tries to simulate the conditions which the ore going down the blast furnace stack is exposed to. The other approach is based on single-purpose tests performed in order to determine a selected indicator of metallurgical quality. Both of these approaches allow obtaining a number of key information related to the quality of ore raw materials and the blast furnace process. Unfortunately, these methods cannot help you to obtain complex information that will provide a global view of the "quality class" of the given ore raw material. For the evaluation of ore raw materials, it is necessary to find a system based on multi-dimensional basis, taking into account not only the metallurgical, but also the economic and physical and chemical parameters. The complexity of the evaluation of ore raw material is mainly based on the completely different character of the monitored parameters. The mathematical methods of multi-criteria decision-making appear to be very suitable to use for the evaluation of ore raw materials. The aim of this article is to analyze the possible utilization of these tools in the evaluation of ore raw materials as operational tools for their comparison.