Green Mining Strategy Selection via an Integrated SWOT-PEST Analysis and Fuzzy AHP-MARCOS Approach

Deciding on an appropriate development strategy is one of the most crucial aspects of the mining industry's green transition. This research introduces a novel integrated decision support model that can be applied to analyze various environmental factors and determine development strategies. In this study, a strengths, weaknesses, opportunities, and threats (SWOT) analysis is employed from multiple perspectives, including political, economic, social, and technological (PEST), to assess the internal and external factors that influence green mining. The fuzzy analytic hierarchy process (AHP) is used to analyze the factor weights quantitatively, and the fuzzy Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) method is used to rank and select development strategies. According to the results, grasp the trend of green development and improve the protection and exploitation level of mineral resources is found to be the final optimal strategy. Comparative analysis and sensitivity analysis confirmed the accuracy of the model and the case study results.

Automated summary

This research introduces a novel integrated decision support model for the mining industry to analyze environmental factors and determine development strategies. The model applies SWOT analysis and PEST analysis to evaluate internal and external factors influencing green mining. The study concludes that grasping the trend of green development and improving the protection and exploitation of mineral resources is the optimal strategy.