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A Monday morning problem
Sarah Chen manages 12 assembly lines and 2,000 machines. Before her 10 AM production review, she needs one answer: Which lines need attention this week?
Simple question. Painful journey.
She starts in the IoT dashboard. Line 4’s motor temperature is running 12°C above baseline — has been for three days. Calibration drift or bearing failure? The dashboard shows signals, not causes. So she pivots to the ERP system for maintenance history. Machine 42 had a bearing replaced eight months ago. Warranty says 12 months, but the operating hours log — buried in a separate historian database — shows it’s been running at 130% rated capacity since January.
That context exists nowhere in the IoT dashboard.
She pulls 30-day OEE trends. Line 4’s availability dropped from 94% to 87%. Line 9’s throughput also dipped 6%. Related? They share a coolant loop, but that relationship isn’t modeled in...
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