reduction of tire related incidents which contributed to over $150 million cost of outages
Process real-time, unstructured data from smart devices. Implement incremental improvements to enable inclusion of all relevant data for better decision-making. Leverage investments in process control and operational legacy software (PLCs, DCS, SCADA), existing IT, and visualisation tools.
Sensor and unstructured data from equipment can easily run into petabytes every year. Mounting historical data with the velocity of continuous streaming data requires a modern technological approach. Dealing with insufficient and unreliable network bandwidth at remote facilities and edge technologies.
Insights into production levels, inventory and capacity availability, quality levels, order status from suppliers. Predict supply shortages and/or demand spikes to near perfection using historical data. Continuous logistics optimisations to improve operating margins.
Improve uptime and spot trends leading to equipment/process failures. Adoption of smart-asset solutions with real-time processing capabilities that enables early intervention to avoid supply disruptions and outages. Improve uptime utilising AI and machine learning compute techniques with real-time, predictive and forecast technologies.
