The aim of this paper is to show the application of multi-criteria analysis (PROMETHEE method) in the selection of the suppliers which are working in the mining systems, specifically in the Public Company for the Underground Exploitation of Coal Resavica (PCUEC Resavica)-Serbia. The company ranking was done in terms of quality according to seven criteria. The criteria cover the most prominent aspects of the quality management of suppliers. Accordingly, 5 suppliers were taken into consideration. In ranking process the expert knowledge of the specialists from PCUEC Resavica was used. Firstly, the determination of the importance and the impact of certain criteria to the process of the suppliers selection was done, and after that the assessment of the suppliers according to each criteria is performed by company experts. PROMETHEE method is used for final ranking of the suppliers. Obtained results show that applied combined method gives excellent results and it can be used for solving a large scale of complex problems in mining systems.

Selection and evaluation of suppliers is a complex issue that depends mostly on the quality of the decision-making process. The aim of this paper is to point to the possibility of applying multi-criteria analysis (Fuzzy TOPSIS method) for the selection of suppliers operating in mining systems in the case of the Public Company for Underground Coal Mining Resavica (JPPEU Resavica) -Serbia. Ranking of companies is done based on ten criteria, and it has considered a list of five suppliers (Supplier 1; Supplier 2; Supplier 3; Supplier 4; Supplier 5). The criteria cover the most important aspects of suppliers' selection such as: management and organization, quality, technical ability, production facilities and capacity, financial position, delivery, service, relationship-connectivity, security and environmental protection and price. In doing so, it has used the experts knowledge from JPPEU Resavica to determine the significance and impact of certain criteria to the process of supplier selection and evaluation of suppliers in regard to each criterion. Fuzzy TOPSIS method was used for determining the final ranking of suppliers. The supplier with the top rank was the Supplier 4. The obtained results indicate that the proposed method gives excellent results and can be used for solving various, and the most complex problems that occur in mining systems, as well as in other production systems.

Drilling and blasting operations are very important part of underground excavation design. They should be performed in accordance with some criteria, such as fragmentation, excavation stability and cost. In the paper are considered three drilling and blasting designs in order to reach the optimal one. To do so, all the criteria should be simultaneously considered in the analysis. For analysis is used Analytic Hierarchy Process - AHP method. Using AHP method, drilling and blasting patterns in underground copper mine 'Jama' Bor are investigated and analysed. According to the obtained results, alternative 2 with contour drilling and blasting pattern was selected to be the best decision. Application of this alternative comparatively satisfies both fragmentation and excavation stability.

This paper aims to rank business models for successfully overcoming socio-economic instability through criteria using an appropriate multicriteria decision-making method (MCDM). In this paper, the AHP method was used to calculate the difficulty criteria. The literature review identified and analyzed six business models: digital business models where companies will be found, competitive advantage models, global, deglobal, market models based on new products and services and customer-built business models. The findings of this research improve the understanding of several business models on the basis of which the management of mining companies can successfully overcome the socio - economically unstable situation.