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How can manufacturing companies use data analytics to improve operations?
Manufacturers use analytics to track production output, yield, downtime, scrap, costs and on-time delivery, forecast demand, plan materials and spot quality issues early. Integrating production, inventory and sales data gives a clearer picture of true product profitability. Start with one line or one question.
Typical measures include overall equipment effectiveness, cost per unit and supplier performance.
Challenges:
- Data locked in machines or legacy systems
- Manual shop-floor records
- Differing definitions of downtime or scrap
Starting with one line or one question, such as the main source of lost time, is more practical than attempting plant-wide analytics at once. Where machine data is hard to reach, even a manual daily log entered consistently can provide a useful starting dataset.
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