Mining method selection by integrated AHP and PROMETHEE method.

Area of Science:

• Mining Engineering
• Decision Science

Background:

• Selecting the optimal mining method is a complex multicriteria decision-making challenge.
• The "Coka Marin" underground mine in Serbia requires a systematic approach for method selection.

Purpose of the Study:

• To implement and demonstrate an integrated AHP and PROMETHEE approach for mining method selection.
• To evaluate five potential mining methods against eleven key criteria.

Main Methods:

• The Analytic Hierarchy Process (AHP) was used to structure the decision problem and assign weights to criteria.
• The Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) was employed for final ranking and sensitivity analysis.

Main Results:

• The integrated AHP-PROMETHEE method successfully ranked the mining methods.
• Sensitivity analysis confirmed the robustness of the ranking by adjusting criterion weights.

Conclusions:

• The combined AHP and PROMETHEE methodology provides an effective tool for solving mining engineering selection problems.
• This approach ensures comprehensive evaluation considering geological, geotechnical, economic, and geographical factors.