Purpose. This research aims to outline a methodology for accident forecasting and risk assessment in mining operations using the Stanterg Mine as a case study. It emphasises the crucial role of reliable mining accident reporting and accurate data processing in forecasting accidents and effectively managing risks during mining operations. Methods. The research paper analyzes various methodologies for forecasting mining accidents using Excel and Simple Linear Regression Method (SLRM) to analyse data selected from the Stanterg Mine accidents. Findings. The forecast indicates that on average there are about 3 accidents per month at the Stanterg Mine. The analysis, based on a one-month study of 42 reported accidents, and assuming a steady production rate, suggests an increased risk of accidents. This is supported by a thorough assessment using a 3×3 risk assessment matrix tailored to the Stanterg Mine. Stope mining is highlighted as the most hazardous area, associated with risks ranging from moderate to extreme levels. Originality. Mining accident analysis at the Stanterg Mine involves an examination of the incidents, including factors leading to accidents, encountered hazards and their consequences. Accident forecasting entails studying historical data, identifying patterns, and using predictive modelling to anticipate future incidents. This proactive approach enables mining companies to proactively address risks and take preventative measures, reducing the probability of accidents. Practical implications. The systematic processing and analysis of mining accidents has revealed valuable insights into the practical application of risk assessment in mining operations. The examination of accidents at the Stanterg Mine provides researchers with crucial knowledge for effective risk assessment and management in the mining sector.

As the major industries, mining has high potential risk of accidents. Historically minerals have supported humane development and civilization but at the same time this industry has been accompanied by accidents, often with disastrous consequences. Number of mine accidents worldwide, as well as...

Despite the long tradition of mining activities in Kosovo, there is still the a lack of policies for post-mining. Specifically, focusing on coal mining, this research analyzes the sustainable transition and post-mining management in the Ruhr Region, exploring the potential for knowledge transfer to enhance mining practices in Kosovo. The research aims to identify transferable strategies for sustainable mining transitions by examining environmental, social, and economic dimensions. Through comparative analysis, the study assesses the applicability of Ruhr’s experiences in fostering environmentally responsible mining practices in Kosovo and beyond. Similarities and possible challenges are discussed based on the environmental and socio-economic points of view. The findings contribute insights into effective post-mining strategies, facilitating knowledge transfer to regions undergoing similar transitions and thereby fostering sustainable mining practices globally.

Purpose. To evaluate the performance of continuous, truck-shovel and hybrid transport systems in the Sibovc surface lignite mine using an integrated multi-criteria decision-making framework and to determine the most appropriate technological alternative under variable geological and operational conditions. Methodology. The study applies an integrated AISM-AHP-PROMETHEE framework. The AISM approach was used to structure the decision-making problem and define the evaluation criteria. AHP was applied to determine criterion weights, while PROMETHEE was used to rank the alternatives. Three systems were considered: continuous BWE, truck-shovel and hybrid BWE+TS. The assessment was based on a consolidated 3 × 9 decision matrix including effective capacity, plan fulfillment, availability, OPEX, energy consumption, CO2eq emissions, flexibility, HSE performance and outages. The criteria were classified as benefit or cost indicators, with calibrated preference and indifference thresholds. Findings. The PROMETHEE ranking showed that the HYBRID BWE + TS system is the most preferable alternative for the Sibovc mine. The final ranking was HYBRID BWE + TS > BWE > TS. The hybrid system obtained the highest positive flow and the only positive net outranking flow,  = +0.220, while the BWE and TS systems obtained  = 0.055 and  = 0.165, respectively. Its advantage is mainly associated with operational flexibility, higher availability and reduced outage intensity. Originality. The study adapts the AISM-AHP-PROMETHEE approach to the operational conditions of the Sibovc surface lignite mine by integrating production, economic, energy, environmental, flexibility and HSE-related criteria into a unified decision-making framework. The use of calibrated thresholds and criterion contribution analysis enables justification of the hybrid system’s priority through engineering interpretation. Practical value. The results can support technological and investment planning in surface lignite mines. For the Sibovc mine, the hybrid system should be considered a gradual, selective solution, with the continuous BWE system remaining the primary production basis. At the same time, truck-shovel equipment is used in critical areas requiring additional flexibility. The framework can also be adapted to other surface lignite mines with similar geological and operational conditions.