A
manufacturing plant running 9 assembly units, 50+ machines, and 1,500+ SKUs across 200 employees was managing production performance through manual time studies and paper records — limiting OEE visibility and real-time decision-making. Infoveave implemented a
digital OEE dashboard and reporting platform with automated shopfloor data collection, real-time performance monitoring, and automated
stakeholder reporting. The result: facility-wide visibility into yield, labour, and downtime — enabling proactive maintenance scheduling and faster production
improvements.
Assembly units with real-time OEE monitoring
Machines tracked with automated data collection
SKUs managed with consistent production visibility
Client Overview
OEE Dashboard is a production visibility tool that displays real-time data. This provides review and status summary information for plant lines and units. One can identify production inefficiencies contributing to lower OEE reports.
Operation managers need a good
OEE dashboard. It is easy to pull up data and make it visible to everyone. This increases the visibility of the shop floor metrics and acts as an indicator to the health of the line and the units as a whole. Aiding the management to make data-driven decisions quicker.
The Challenge
There can be various types of
OEE dashboards. Granular for a single machine or holistic for the full machine shop. OEE is a KPI that represents the productivity of machines. Calculating and monitoring OEE at different levels can get complicated. Especially if you’re running manual time studies and recording on paper.
The plant runs 9 assembly units with over 50+ machines and 200 employees. With 1500+ SKUs and an increase in business, the client was keen to reduce machine breakdowns and loss hours. And getting a better understanding of the reasons behind it. A low-code digital dashboard solution on Infoveave can address the problem in hand.
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The Solution
With Infoveave, the client could achieve digitization of
data collection. And near real-time decision-making supported in growing business.
NGauge forms also helped replace paper-driven capture on the shopfloor. Instead of relying only on manual logs, teams could enter structured production and quality inputs through guided forms, validate entries at source, and keep the operating context visible for supervisors on web screens and touch-based interfaces. That reduced spreadsheet rework, improved consistency in shift-level reporting, and made it easier to act on issues before they affected OEE.
Infoveave Data sources connect to sources for getting data. The data points are Inventory, Spares, Production, Maintenance, and Machine downtime data.
Data is uploaded through Automated Tasks configured within Infoveave. Compelling and meaningful
Visualizations on the Dashboard show the factory performance. This makes monitoring of the real-time production data at the shop floor possible. The data points include OEE, Performance, Availability, and Quality. Thus, helping businesses get better visibility and more control.
Maintenance schedules are planned better to reduce costs and scraps. This also gives flexibility to the extra shifts if needed. The business gets a clear and consistent view of Yield, labor, and productivity, accompanied by utilization rates and shift efficiency. The team can view the Planned downtime and plan the daily activities accordingly.
The reports module of Infoveave automates and schedules reports. Infoveave sends out effective and timely communication to all stakeholders. This aids in taking necessary action to make improvements.
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About the Authors
Infoveave Product Team is a member of the Infoveave Product and Solutions Team — specialists in Unified data platforms, agentic BI, and enterprise analytics. Infoveave (by Noesys Software) helps organizations unify data, automate business processes, and act faster with AI-powered insights.