UTILIZING INTELLIGENT DATA PROCESSING SYSTEMS TO IMPROVE MINING INDUSTRY OPERATIONAL SCHEDULING EFFICIENCY

Abstract

This research aims to explore the influence of implementing intelligent data processing systems in operational scheduling within the mining sector, and to what extent this technology can reduce errors and improve accuracy in the scheduling process. Effective operational scheduling is one of the critical elements that can impact production efficiency and operational sustainability in the mining sector. However, a common problem frequently encountered in operational scheduling in this sector is inaccuracies and errors in the scheduling process caused by manual data processing or less sophisticated systems. Therefore, this research will propose the application of intelligent data processing system technologies, such as artificial intelligence and big data-based systems, to improve the efficiency and accuracy of scheduling. This study will also involve simulations and testing using dummy data to measure the performance of the proposed system compared to conventional methods. The results of this research are expected to provide new insights into the influence of smart technology on improving operational efficiency in the mining sector.