Technology adoption in mining: A multi-criteria method to select emerging technology in surface mines

摘要: Abstract The integration of technologies across the mining value chain is becoming critical, and it crucial to identify best possible applicable an operation, based on chosen criteria. This study investigates adoptable for a project, develops conceptual framework analytical process validates using hypothetical case study. comprised technology decision problem, result which consisted six alternatives, four criteria, one maker. Of several Multi-Criterial Decision Making (MCDM) techniques available, fusion analytic hierarchy (AHP) preference ranking organisation method enrichment (PROMETHEE) were used this AHP was determine hierarchal weight each decision-making criterion its consistency, while PROMETHEE carry out overall evaluation. Additionally, fuzzy set theory infused into hierarchical structure analysis evaluate quantitative economic curb uncertainty imprecision. results show that alternative A3 – Artificial Intelligence (AI) most preferred alternative, outranks other comparative technologies. approach proposed in can help provide basis any adopting company build business case, strategy or roadmap achieve desired outcome.