The Cost of Capacity

When a billion-dollar industrial technologies manufacturer wanted to characterize the impact of process failures in an automotive parts factory, they turned to Raptor. Reliability models they had been using could only account for failure rates inherent in the machines. Without accounting for process failures, they could not accurately assess the production capacity at the plant, but they knew it was capable of running at better than the estimated capacity of only 44.9%.

Raptor illuminated how the process failures impacted capacity and identified process improvements that would allow the plant to reach and even exceed desired production capacity. With these improvements in place, the additional units that could be produced provided a revenue increase of roughly $9.5 million per week.