In order to fully adapt to market requirements, mining enterprises in recent years have implemented standardized systems for quality, safety and health at work and environmental management. The standards for individual systems define the requirements of applying specific procedures and actions to implement the adopted policy aimed at achieving the assumed goals. The combination of business procedures and practices is more effective in the case of their integration than the activities carried out under separate systems. They then function under the name of an integrated management system (IMS). Properly implemented IMSs most often contributes to a more harmonious functioning of the enterprise and the elimination of recurring activities in the areas concerning individual systems, and thus to the optimization of costs related to their implementation and maintenance. Improving the operational efficiency of the mining enterprise and mines included in it, while maintaining the requirements of work safety and environmental protection. In the conditions of a market economy, improving the efficiency of functioning and providing sources of business financing is a key necefity for mining enterprise (Bąk 2007, 2008). Mines need to be properly managed to survive. The key problem is the design and implementation of an efficient management system and its continuous improvement based on the adequacy of system solutions. This is an answer to the question whether the management system of a mining enterprise (mine) corresponds to its real needs in the process of achieving objectives. Improvement of management systems must be based on an appropriate diagnosis. The aim of the article is to present the original solution, which is a tool for improving the integrated management system in Polish mining enterprises.
This article aims at constructing a new method for testing the statistical significance of seasonal fluctuations for non-stationary processes. The constructed test is based on a method of subsampling and on the spectral theory of Almost Periodically Correlated (APC) time series. In the article we consider an equation of a nonstationary process, containing a component which includes seasonal fluctuations and business cycle fluctuations, both described by an almost periodic function. We build subsampling test justifying the significance of frequencies obtained from the Fourier representation of the unconditional expectation of the process. The empirical usefulness of the constructed test is examined for selected macroeconomic data. The article studies survey indicators of economic climate in industry, retail trade and consumption for European countries.
We discuss the notion of the financial cycle making a clear indication that the thorough study of its empirical properties in case of developing economies is still missing. We focus on the observed series of credit and equity and make formal statistical inference about the properties of the cycles in case of Polish economy. The non-standard subsampling procedure and discrete spectral characteristics of almost periodically correlated time series are applied to make formal statistical inference about the cycle. We compare the results with those obtained for UK and USA. We extract the cyclical component and confront empirical properties of the financial cycle for small open economy with those established so far in case of developed economies.