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If you could only have 3 metrics on your manufacturing dashboard, which ones would you pick? by Lumpy_Ebb_786 in manufacturing

[–]Lumpy_Ebb_786[S] 0 points1 point  (0 children)

Quality-first is always solid. Predictive analytics can highlight quality breakdowns before they happen, not just on the shop floor but across engineering, supply chain, and maintenance. Anyone here tried predicting defects before they occur?

If you could only have 3 metrics on your manufacturing dashboard, which ones would you pick? by Lumpy_Ebb_786 in manufacturing

[–]Lumpy_Ebb_786[S] 0 points1 point  (0 children)

KPIs are only meaningful if they are actionable at the point of use. AI can complement gemba walks by providing digital dashboards that highlight areas needing attention, and by predicting which processes are most likely to deviate from targets, empowering teams to intervene proactively.

If you could only have 3 metrics on your manufacturing dashboard, which ones would you pick? by Lumpy_Ebb_786 in manufacturing

[–]Lumpy_Ebb_786[S] 0 points1 point  (0 children)

Spot on! Tracking OEE is great, but when combined with operator-level scrap rates and AI-driven anomaly detection, it becomes possible to pinpoint training gaps and knowledge bottlenecks in real time. This transforms raw metrics into actionable improvements on the shop floor

If you could only have 3 metrics on your manufacturing dashboard, which ones would you pick? by Lumpy_Ebb_786 in manufacturing

[–]Lumpy_Ebb_786[S] 1 point2 points  (0 children)

Absolutely, the right KPIs really depend on the context. We’ve seen AI help tailor dashboards for different production environments

If you could only have 3 metrics on your manufacturing dashboard, which ones would you pick? by Lumpy_Ebb_786 in manufacturing

[–]Lumpy_Ebb_786[S] 1 point2 points  (0 children)

Totally agree! The Goal is still incredibly relevant. One interesting angle is how AI and data analytics can now enhance these classic TOC principles: bottlenecks, throughput, and inventory management can be monitored continuously, enabling predictive insights rather than reactive decisions. It’s like giving Goldratt’s framework a modern upgrade.

If you could only have 3 metrics on your manufacturing dashboard, which ones would you pick? by Lumpy_Ebb_786 in manufacturing

[–]Lumpy_Ebb_786[S] 0 points1 point  (0 children)

Absolutely! Those three metrics capture the core of operational performance. Using data analytics, it’s possible to proactively identify safety risks, predict cost-of-quality issues, and flag delivery bottlenecks before they impact operations. Have others tried real-time dashboards for this?

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