Operations are heavily siloed, operational responses are very often manual, ad hoc, and response-driven. Excel features heavily in the management of production targets, schedules and delivery. Data is accessed and stored, but utilization is low. Operational responses are reactive and poorly integrated. Metrics and organizations are structured around siloes. Operations are often not interconnected.
Goals and Objectives
Reduced variability and increased predictability resulting in reduced costs and revenue optimization
Analytics, control center, IoT, mobility, cognitive/AI, robotics, data management, cloud
Use Case Summary
Operating the mine as a system end to end is core to creating value at scale from digital mining operations. To achieve this data visibility, automation of equipment and processes and collaboration within the system is required.. Success will be built on operational metrics, culture, and organization that is collaborative and incentivized for the outcomes of the system as a whole. Enabling platforms within this system will be an important feature.