A proposed real-time decision support platform for Moroccan fixed mining production systems

Given the competition in the mining markets and the rapid evolution of customer requirements, the Moroccan mining group OCP (Office Ch & eacute;rifien des Phosphates) has been forced to improve the performance of its production systems. Thus, continuous performance improvement and optimization of production processes are prerequisites to remain competitive. However, in Morocco, data analytics-based mining process improvements do not fully utilize the data generated during process execution. They lack prescriptive methodologies, which is the major goal of this work, to translate analytic results into improvement actions. Indeed, we propose a new platform for optimizing the production processes of a Moroccan mine based on knowledge extraction from data, allowing mine managers to rapidly and continuously improve the performance of their production chains. The platform will be an effective and efficient tool for mining companies to generate prescriptive action recommendations during the execution of the processes.