Dashboards

Avoid metric overload by separating a small decision-level KPI set from a broader diagnostic layer. Most plants do not need more dashboards; they need clearer ownership, thresholds, data definitions, and escalation rules. The right set depends on process maturity, data quality, integration reliability, and whether legacy MES, ERP, QMS, and manual logs can support timely, traceable signals.

Avoiding duplicated KPI logic usually means centralizing metric definitions, calculations, and business rules outside individual dashboards. In practice, that depends on stable source data, governance, version control, and integration discipline. Without those, multiple dashboards will drift, especially in brownfield environments with MES, ERP, QMS, and spreadsheet-based reporting.

Because the formula is usually not the real source of variation. OEE differs across plants when time models, event definitions, routing assumptions, data collection methods, exclusion rules, and master data are not aligned. In brownfield environments, identical math on top of different semantics and system behavior will not produce comparable results.

In ISO 22400, both performance indicators and KPIs are objective, quantifiable measures derived from manufacturing data. The practical difference is that KPIs are a small, agreed subset of indicators directly tied to strategic or regulatory objectives. Most MES or reporting systems expose many indicators, but only a few qualify as KPIs once governance, targets, and usage are defined.