Platform

One operational record from machine to management

Production, downtime, OEE, quality, energy, work execution, and enterprise handoffs use the same governed events and asset context.

Illustrative scene

Performance control

See the loss, its cause, and its owner

Supervisors see the shift status, engineers investigate loss trees, and management verifies whether corrective actions changed the result.

Availability × Performance × Quality with component breakdown. Site policy for planned downtime is documented — never invented per plant.

First-class KPIs beside OEE: energy intensity, scrap, and first-pass yield so losses are not hidden in a single percentage.

Compare sites and lines, then move from the missed target to the machine, shift, order, and open corrective action behind it.

Execution layer

ISA-95 aligned: shop-floor execution at L3, master data and orders at L4 — idempotent, audited handoffs.

Work orders, routing, WIP visibility, and genealogy hooks. Operators stay in Shift View; planners stay in MES — one data fabric underneath.

SAP, Odoo, Oracle, and Dynamics-ready integration patterns. Sync is contract-driven and auditable — no silent overwrites of plant truth.

Guided improvement

The platform can organize evidence and prepare actions. Actuator, recipe, and setpoint changes require explicit authorization.

Improvement workflow

Signal → production event → loss context → approved response → verified result.

OPC UA / MQTT connectors normalize to telemetry.v1.

Bring one production line, its current data sources, and a priority loss. We will map the measurement, workflow, and proof of value.