Tracking Machine Downtime Without an IoT Budget
Before you buy sensors, learn what six weeks of manual downtime logging will tell you for free.
A busy factory and a profitable factory are different things. Busy is a feeling. Profitable is a number, and most growing manufacturers cannot produce that number for yesterday without asking three people.
This hub is about the shop floor: what to measure, how to capture it without adding an hour of paperwork to a supervisor's day, and which numbers actually change a decision. Rejection rate is only useful if you know which shift, which machine and which operator it came from. On-time delivery is only useful if the promise date was honest when it was made.
The problems here are consistent across geographies — a plant in Surat, Sheffield or Sharjah loses money in the same places. Material that is scrapped without record. A machine that has been misbehaving for three weeks in nobody's log. A handover that happens in two minutes at the gate. A quotation that pads every delivery date by a week because nobody trusts the schedule.
Expect specifics: what a shift log should contain, how to calculate OEE without a consultant, how to trace a quality problem to its origin, and how to find the capacity you already have before buying another machine.
Before you buy sensors, learn what six weeks of manual downtime logging will tell you for free.
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