you're
"
ON
"
it!
When a machine stops, a process exceeds its limit, or a batch begins to drift, how quickly do you actually notice it? In many plants, these situations only become visible at the end of a shift or after reports are reviewed. That delay increases the risk of production loss, scrap, and additional cost.
OnSuite Live turns incoming shop floor data into real-time operational visibility. With alarm generation, batch-based monitoring, derived data calculations, and screen structures tailored to different user needs, it helps operators, engineers, and managers act faster.
Live does more than make data visible. It helps teams detect critical situations earlier, monitor operations in real time, and support faster decisions on the shop floor.
It supports live monitoring of machine, line, batch, and process data within one structure, helping teams understand shop floor conditions without delay and manage operations with more control.
With alarm and notification structures in place, threshold violations, deviations, and critical events become visible sooner. This helps operators, maintenance teams, and managers take action faster.
By tracking batch- and recipe-driven processes, it allows production flow to be evaluated not only through machine status, but also within the context of the process itself.
With its MQTT-based real-time architecture, OnSuite Live delivers low-latency data flow, event-based monitoring, flexible alarm structures, and live reporting support. It helps teams do more than monitor operations — it strengthens real-time decision-making.
Connect brings in the data from the shop floor, Live turns it into meaningful screens, and Optima transforms the same data into OEE and performance analysis. In this way, visibility, measurement, and improvement reinforce each other within the same ecosystem.
Turn real-time visibility into performance and OEE analysis.
Let’s define which data, alarms, and screens matter most for your operation.
In a demo session, we can review live dashboard examples, alarm scenarios, and potential usage flows together.
Address
Dokuz Eylül University Tınaztepe Campus, Depark Beta Building, No:202, Buca / Izmir
Phone
+90 (232) 245 00 76
