Assessing the clustering effect for extraction and processing of raw materials (using the example of the Kuzbass cluster "Complex processing of coal and industrial waste")

The paper considers a conceptual set of economic and mathematical problems, whose solution increases the efficiency of an innovative coal cluster that combines coal mining and processing industries. The effectiveness of the innovative clustering of coal mining is analyzed from three perspectives: for the regional economy, the cluster itself, and each of the cluster members. Thus, the paper studies the triune effect of the raw material cluster. In the course of the paper, the authors used the method of case study to consider the parameters of the raw material cluster “Complex Processing of Coal and Industrial Waste” in Kuzbass (Russia) to present a formalized description and calculate the general task of determining the triune effect of clustering coal mining and processing industries. The study results allow for more efficient development and application of technologies for complex and effective coal processing

Cluster (spacecraft · Cluster analysis · Coal · Coal mining · Industrial engineering · Process engineering · Raw material · Set (abstract data type · Waste management · Chemistry · Coal and Coke Industries Research · Computer Science · Engineering · Engineering and Environmental Studies · Industrial Engineering and Technologies · Artificial Intelligence