A Comprehensive Sustainable Performance Assessment in Morocco’s Mining Sector Using Artificial Neural Networks and the Fuzzy Analytic Network Process

This article provides an in-depth evaluation of sustainability performance within the mining sector by employing the Fuzzy Analytic Network Process (FANP).The assessment centers on five fundamental dimensions: economic, social, environmental, operational, and stakeholder-related factors.FANP facilitates a comprehensive prioritization of both these broad categories and their associated sub-criteria, enabling a well-structured and balanced appraisal of sustainable performance.The methodology is further strengthened by integrating machine learning techniques, specifically a multilayer perceptron, which improves the accuracy and reliability of the multidimensional performance evaluation.Although the study concentrates on the mining industry in Morocco, the developed model is flexible and can be adapted to various other industries and research fields.By filling a significant gap in holistic sustainability assessment, this work offers valuable practical insights to support enhanced management practices and contributes meaningfully to the advancement of sustainable development goals.The findings and approach presented are pertinent to both industry professionals and the academic community alike.