The sustainable development of an organisation requires a holistic approach to the evaluation of an enterprise’s goals and activities. The essential means enabling an organisation to achieve goals are business processes. Properly managed, business processes are a source of revenue and become an implementation of business strategy. The critical elements in process management in an enterprise are process monitoring and control. It is therefore essential to identify the Key Performance Indicators (KPIs) that are relevant to the analysed processes. Process monitoring can be performed at various levels of management, as well as from different perspectives: operational, financial, security, or maintenance. Some of the indicators known from other fields (such as personnel management, finance, or lean manufacturing) can be used in mining. However, the operational mining processes require a definition of specific indicators, especially in the context of increasing the productivity of mining machines and the possibility of using sensor data from machines and devices. The article presents a list of efficiency indicators adjusted to the specifics and particular needs of the mining industry resulting from the Industry 4.0 concept, as well as sustainable business performance. Using the conducted research and analysis, a list of indicators has been developed concerning person groups, which may serve as a benchmark for mining industry entities. The presented proposal is a result of work conducted in the SmartHUB project, which aims to create an Industrial Internet of Things (IIoT) platform that will support process management in the mining industry.
Industry 4.0 and the Internet of Things are now very common concepts as solutions that can revolutionize the industry. Constanttechnological progress increases the possibilities of using computer tools and solutions to support processes in industry and productionoptimization. The use of the Internet of Things is particularly important in complex processes in mining, enabling the extractionof valuable information from data. The integration of physical facilities in the enterprise enables the digitization of productionprocesses and the increase of efficiency and security.This article presents an overview of the selected internet of things platforms and analytical tools that can be used in industry, withparticular emphasis on the mining sector. It is pointed out, that the number of suppliers of IoT technologies and analytical toolsoffering advanced data analytics services for industry is significant and constantly evolving. The aim of the article is to evaluateselected IoT solutions based on the following criteria: offering predictive analytics, implemented artificial intelligence (AI) ormachine learning (ML) algorithms, a mining-oriented process approach, advanced data visualization, interoperability, real-timedata capture, remote device management and cloud-based technology. The review was prepared to provide knowledge about IoTvendors operating on the market, as well as to indicate the functionalities that are the most popular among solutions.
This paper describes a study designed to find correlations between intellectual capital efficiency, measured using the Value AddedIntellectual Coefficient (VAIC), and selected components of reports submitted by KGHM Polska Miedź S.A., a Polish mining company.The study examined such components as the company’s intangible assets, number of jobs/FTEs (Full-time equivalent) andthe net financial result. The timeframe explored here is the period between 2004 and 2018 (the last 14 years). We assumed thatintellectual capital efficiency should be correlated with intangible assets, which are part of fixed assets, but the results of our studyproved otherwise. Our analysis demonstrated that intellectual capital efficiency was correlated the strongest with the company’sfinancial performance.
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