A Case Study With Carolina Precision

Increasing Capacity by $1.5mm in Year One

Carolina Precision Technologies (CPT) is a market-leading manufacturer producing tight-tolerance parts for medical and aerospace devices. Its goal is to provide customers with outstanding products that exceed their expectations.

The company recognized that efficiency and quality were the keys to success in an industry with razor-thin margins and understood the importance of keeping tabs on production stats, job status, uptime, and setups. It needed accurate, real-time data to increase productivity, win more business, and remain globally competitive.

The Challenge

CPT operated a manual data tracking system with an employee dedicated to collecting utilization data. This manual tracking was prone to significant errors and was time-consuming, requiring over two hours per day.

There was regularly a full day between the point of data collection and the point when it was ready for consumption. This meant that the data was no longer actionable; many events had passed, and there was no longer anything that could be done to prevent or remedy any issues.

The Solution

CPT installed the MachineMetrics Machine Data Platform on 36 of its lathes and displayed MachineMetrics dashboards on TVs across the shop floor to showcase real-time machine performance.

Tablets were also mounted at each machine for operators to share feedback on downtime and quality. When a job fell behind production goals and the color of the tile changed on screen, text notifications were sent to managers to act immediately.

This connectivity, real-time data collection, and analysis gave CPT instant visibility into the realities of the shop floor. The transformation was so quick that the team was still acclimating to the monitoring system when actionable insights became available.

The Results

For CPT, there was an obvious and immediate benefit in understanding downtime and utilization. As the MachineMetrics platform continued to deliver results, CPT realized tremendous improvements in the first year of deployment.

MachineMetrics enabled CPT to understand what’s happening in real-time and respond to problems immediately. This increased machine utilization by 20% in the first year. As utilization increased, CPT found hidden capacity within its machines and gained an average of 688 extra operating hours per machine. The dollar impact of these improvements was significant, with the increased hours of capacity translating into an annual increase of $41,280 in billings per machine.

The ability to identify and solve problems as they occurred also led to improved quality measures. CPT began to focus more proactively on quality, and quality managers became more intimately involved in the system. And because operators used the tablet interface to classify rejections in real-time, managers could respond immediately, eliminating the paperwork required for non-conformance.

CPT’s initial investment in MachineMetrics was returned within only 11 days of using the software, and the company saved $1.5 million in its first year of machine monitoring.


Carolina Precision Technologies


Gary Bruner, President


Aerospace, Defense, Industrial


Citizen Swiss Turn Machines

The Metrics

Our impact on customers
20% Improvement in Machine Utilization
$41,280 Increase in Billings per Machine
730 Hours of Administrative Savings per Year
$1.5MM Increase in Billings per Year
24,768 In Additional Machine Hours per Year
11 Days to Reach ROI

Download the Full Case Study

Learn how MachineMetrics helped Carolina Precision Manufacturing, a small-diameter, close-tolerance CNC Swiss turned parts manufacturer, save over $1.5 million in their first year of machine monitoring.


Carolina Precision Case Study

Increasing Capacity by $1.5 Million in Year One
Want to see MachineMetrics in action first? Book A Demo

Book A Demo

Empower every team in your organization with real-time data and insights.

Join hundreds of Manufacturing organizations across the globe that use MachineMetrics software to collect, monitor, analyze, and take action on their manufacturing equipment data.