The Problem With Manual Downtime Logging
When a machine stops, operators are focused on restarting it — not logging it. By the time they fill in the paper form, the exact start time is wrong, the reason is generic ("machine fault"), and minor stops under 2 minutes are never recorded. You end up with data that shows 95% availability when the real number is 72%.
The Right Architecture
Layer 1: Machine signal. A digital output from the PLC (or a proximity sensor on the machine cycle) tells your system the machine is running or stopped. Layer 2: Edge device. A Raspberry Pi or industrial PC at the machine reads the signal and timestamps every state change. Layer 3: Cloud database. Each stop event is stored with start time, end time, and duration. Layer 4: Reason code capture. A touchscreen or mobile app at the machine lets the operator classify the stop reason after restart — much easier than filling a form mid-crisis.
Reason Code Taxonomy
Do not let operators type free text — you will end up with 200 different "reasons" that mean the same thing. Pre-define categories: Mechanical Failure, Electrical Fault, Material Shortage, Changeover, Quality Issue, Operator Absence, Planned Maintenance. Each category can have sub-reasons. Keep the list under 20 total options.
Alert System
Define thresholds per machine: if a machine is stopped for more than 10 minutes without a reason code, send a WhatsApp/SMS alert to the supervisor. If the same machine has stopped 3 times in the same shift, escalate to the plant manager.
Downtime tracking is only useful if data capture is automatic and effortless. A two-tap reason code entry on a touchscreen will get 10x more accurate data than a paper form.
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