Digitizing the Mining Industry

Nearly one third of the $370 billion in annual economic value is expected to be realized through the digitalization of equipment maintenance

The $100Bn Opportunity

Potential Annual Economic Value Through Digitization (USD), McKinsey Global Initiative

The time for the mining industry to digitize their equipment maintenance operations is now!

Establish the digital foundation with a flexible and configurable solution

Preparing the foundation for Machine Learning (ML) and Artificial Intelligence (AI) layers

• Flexible to allow for ease of integration with new and existing systems

• Configurable to suit the complex and dynamic nature of mining maintenance operations

• Simple and intuitive interface, to help drive user buy-in at all levels of the organization

• The digital foundation is a technological prerequisite for ML/AI to be effective​

• Initiating the transition to a data driven organizational culture through phase 1 will accelerate the benefits from ML/AI enabling our partners to step in to help

• The promise of ML/AI solutions is already proven in the manufacturing industry and it's ripe for mining

Data Driven Equipment Maintenance

Realize step change improvements in safety and value creation with arc.ops

arc.ops offers

Availability

• Real-time traceability of maintenance operations eliminates avoidable procedural delays

• Comprehensive data collection accelerates root cause analysis for targeted maintenance

• Preventative algorithms and metrics decrease time spent on unnecessary and ineffective maintenance

Case studies

Equipment maintenance system

Read our case study on how Arcstone's EMS module has helped digitalize and speed up the maintenance operations for a mining operation

Integration, Integration & Integration

Read our case study on how Arcstone's suite of tools help integrate hardware and software solutions that are already running onsite