Downtime tracking software
for connected manufacturing
Know not just that a machine is down, but why, how long, and what it's costing, the moment it happens - with better downtime tracking software.
How the L2L downtime tracking software works
L2L’s downtime tracking software is about capturing and categorizing downtime events: why they happened, how long they lasted, and what they cost.
See top areas, lines, and machines by downtime, and why, on a live dashboard.
What L2L's downtime
tracking software does
-
Downtime categorized by “why”Capture the cause of failureCapture the cause of failure
-
Impact classified at the sourceClear classifications per type of event.Clear classifications per type of event.
-
Live status, Andon-styleRed-yellow-green.Red-yellow-green.
-
Cost visible in real timeClear overview of downtime cost.Clear overview of downtime cost.
-
Response time tracked against a thresholdHow long does it take to solve it?How long does it take to solve it?
Record the reasons for each downtime event by standardized reason, action, component, and “why” codes. Capture the cause of the failure, what action was taken to correct it, and which part of the machine was repaired, so root-cause analysis (RCA) is informed by more than a single cause code.
Every downtime event gets classified as Down, Impacting, Planned, or No Impact, so OEE and downtime totals reflect what actually affected production, not every logged event equally.
See open downtime events and duration at a glance on a machine status dashboard, with critical machines flagged visually.
See the cost of downtime on each event directly on the dispatch screen, not calculated after the fact in a separate report.
Track average response time by dispatch type, with a threshold you set, so a slow response is visible as a problem, not just downtime in general.
-
Downtime categorized by “why”Capture the cause of failureCapture the cause of failure
Record the reasons for each downtime event by standardized reason, action, component, and “why” codes. Capture the cause of the failure, what action was taken to correct it, and which part of the machine was repaired, so root-cause analysis (RCA) is informed by more than a single cause code.
-
Impact classified at the sourceClear classifications per type of event.Clear classifications per type of event.
Every downtime event gets classified as Down, Impacting, Planned, or No Impact, so OEE and downtime totals reflect what actually affected production, not every logged event equally.
-
Live status, Andon-styleRed-yellow-green.Red-yellow-green.
See open downtime events and duration at a glance on a machine status dashboard, with critical machines flagged visually.
-
Cost visible in real timeClear overview of downtime cost.Clear overview of downtime cost.
See the cost of downtime on each event directly on the dispatch screen, not calculated after the fact in a separate report.
-
Response time tracked against a thresholdHow long does it take to solve it?How long does it take to solve it?
Track average response time by dispatch type, with a threshold you set, so a slow response is visible as a problem, not just downtime in general.
Features for better maintenance scheduling
Tag every event as Down, Impacting, Planned, or No Impact. Down events feed availability, OEE, and downtime totals.
See assets machines have open issues and how long each has been open, with critical machines highlighted.
Compare average response time to a threshold you set for each event type, and see how much of the downtime was spent waiting.
See the ten areas, lines, and machines with the most downtime, with open events listed alongside.
Require an assigned person and all four codes before an event can be closed.
Log an event or send a notification automatically when a line crosses a metric threshold you set.
Start the clock when an event is logged or when someone starts working on it, for lines that keep running until the fix.
Rick from ADAC
"The move from paper-based production recording methods to an integrated cloud-based system ensured the right people were at the right place at the right time."
Dallin from Purple
"What specifically makes it successful is the ability to track data, look at the data, and then establish goals to improve from there."
Denny from Westinghouse
"Everything our plants could do to improve efficiency, reduce unplanned downtime, drive waste out of the process, and react faster to change are becoming even more critical to keep up with the changing market conditions."
Even better downtime tracking with AI
When a machine shows signs of failure, L2L Execution AI surfaces the root cause and the right fix, with the technician and parts already identified.
Your team can make the call and get to the repair in minutes, not after hours of diagnosis.
Downtime tracking and beyond
Maintenance Management with L2L
L2L is the maintenance management software that helps your team uncover, dispatch and fix problems, faster.
AI in Maintenance Management: 6 Use Cases
AI’s role in predictive maintenance and how to incorporate it into your maintenance strategy.
Mueller Industries, Shift to Preventive Maintenance
How Mueller moved off static PM schedules and manual data management to a proactive program.
How do others do it?
See how organizations use L2L's downtime tracking software to reduce errors, improve training, and hit operational targets.
Frequently asked questions about downtime tracking software
What can you expect from downtime tracking software software?
What is downtime tracking software?
Downtime tracking software logs machine downtime events in real time, categorizing them by cause and impact, so teams can see not just that a machine is down, but why, and act on the pattern.
Can downtime tracking software calculate the cost of downtime?
Yes, cost can be shown directly on the downtime event as it's logged, not calculated separately after the fact.
Is downtime tracking the same as OEE tracking?
Related but narrower. Downtime tracking focuses specifically on why and how long. OEE software rolls downtime into the full Availability × Performance × Quality (APQ) calculation.
Why use downtime tracking software?
Because "the machine was down for 3 hours" tells you nothing actionable. Knowing why it went down, the specific reason code, and the correct classification is what turns a downtime log into something you can actually fix.
Ready to know why, not just that?
L2L is the Connected Manufacturing Operations Platform that eliminates downtime and increases productivity.
Manufacturing Intelligence
