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Mining method selection by integrated AHP and PROMETHEE method.

Dejan Bogdanovic1, Djordje Nikolic, Ivana Ilic

  • 1Technical Faculty in Bor, Belgrade University, Serbia. dbogdanovic@tf.bor.ac.rs

Anais Da Academia Brasileira De Ciencias
|March 24, 2012
PubMed
Summary
This summary is machine-generated.

This study presents an integrated approach using the Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) to select the optimal mining method. The findings demonstrate its successful application in complex mining engineering decisions.

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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.