Reduce Excess Downtime
How can manufacturing downtime be reduced?
Every minute a machine is not running represents lost opportunity.
Measuring your floor, consistently, with manufacturing analytics can help minimize, or even eliminate excess downtime.
Using automatic data collection from sensors, PLCs, and operators on the floor, calculate downtime and track availability.
Get Alerts to Stop Problems
Get real-time alerts, via the mobile app or email, to stop problems as they happen. Consistent, accurate data can drastically increase availability.
Analyze Downtime by All Reasons
Use Pareto Charts to determine the causes of downtime. Understand the number of downtime events by reason and total and average duration in minutes.
To determine the availability of a machine or cell, SensrTrx collects and calculates downtime using alarms and other signals directly from the controls, PLCs, and sensors on the equipment. SensrTrx can also augment this information with input from operators or supervisors.
Get Alerts to Stop Problems as They Happen
Stop problems as they happen, before those problems cause significant downtime. With mobile alerts or manufacturing insight emails delivered straight to your inbox, you can be alerted of problems on the floor.
Use downtime analysis to understand where and why those problems are occurring.
Analyze Downtime by Reason Codes
Use Pareto Charts to help determine common causes of downtime. Understand when downtime is increasing or decreasing, enabling you to take action to resolve the issues.
Track trends in your data to see how the plant is running overtime.
Determine the ‘What, Why, Who and When’ of all your downtime.
“What Gets Tracked, Gets Improved.”
H&T Battery Components knew they had significant issues with excess downtime. Using manufacturing analytics, they were able to reduce micro stoppages by 71% and reduce overall downtime by 73%.
"After backwards cans in 4 machines caused 18 hours of downtime, we knew there was a problem. [SensrTrx] helped us reduce downtime by 73%.
– Matt Hill, Operations Improvement Coordinator at H&T
Common Challenges in Manufacturing
Traditional, manual data collection is not timely or accurate. How do you ensure automatic data collection that helps to provide insight into what’s happening in the plant?
Watch the case study