Creation of a comprehensive methodology for evaluating investment projects in the mining and metallurgical industry

The mining and metallurgical industry is one of the key and basic industries that ensure the economic growth and development of many countries, as well as forming a significant part of the gross domestic product. In this regard, the issue of choosing the most effective and profitable investment projects becomes especially relevant. The development of methodological approaches to the evaluation of investment projects will improve the quality of decisions and optimize investment processes in the industry, which, in turn, will contribute to sustainable economic development and increase the competitiveness of mining and metallurgical enterprises. The article proposes the author's comprehensive methodology for evaluating investment projects in the mining and metallurgical industry based on the allocation of qualitative and quantitative indicators, as well as the results of its application. To improve the assessment of investment projects and reduce risks, it is proposed to use a scoring model that takes into account the qualitative and quantitative indicators of investment projects of a mining and metallurgical enterprise. When using the scoring model to evaluate investment projects of a mining and metallurgical enterprise, the specifics of the industry and the specifics of investment projects in it are taken into account. A scoring model has been developed to take into account qualitative performance indicators, which takes into account geological, technical, infrastructural and environmental aspects, taking into account the degree of their impact on the effectiveness of the project. An algorithm has been developed to bring quantitative indicators of economic efficiency NPV, IRR, PI, DPP into a single indicator. The overall result was the development of a comprehensive methodology for evaluating the effectiveness of investment projects in the mining and metallurgical industry, which allows taking into account the influence of non-economic factors, as well as the specifics of the industry when calculating the indicators of economic efficiency of the project. 

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