Analysis of Utilisation States and Reliability Parameters of Process-Line Configuration for Low-Quality Rock Deposits

The production performance of mining and also construction equipment (like haul trucks, excavators, loaders, crushing and screening equipment) depends on its availability and utilisation states. Thus, it is necessary to determine the mean availability and structure utilisation of machinery systems with the aim to improve the same. At the same time, a detailed analysis of machinery operation data can result in a more effective management of mining plant operations and the mining process itself. Determination of operational state indices and their individual components allows to start preventive actions, resulting in the improvement of the organisation of work of the entire mine machinery system. Moreover, the future technical state of machines operated in surface mining is closely related to the current state and depends also on the events that have occurred in the extraction system. The analysis of dependability parameters can have a significant impact on decision-making, related both to the processes of use and maintenance, and, primarily, to all main operational processes of the mine. Different mines follow different terms and maintain different information. The only common information in most of them concerns the availability and utilisation of mining and construction equipment, which might be useful. There is a need to develop proper feedback and to define terms, factors and indices related to mining equipment. Below follows an analysis of selected operational parameters and the mean availability in the process of using the mining and construction equipment. This type of analyses help determine the operational potential of every element in the engineering system, understood as the ability to perform work processes. The analyses also illustrate how the reliability parameters change with the durability of the operated machinery. This makes it possible to identify the machines with the highest and lowest damage rates and such analyses can form the basis for the creation of optimised machine systems.