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Shop Floor Data Visualisation System

A low-cost, real-time data acquisition and telemetry dashboard built to optimize operational efficiency.

Yantra Input

The Problem

Keeping track of intricate assembly line stages and minimising component waiting times is a persistent bottleneck in multi-stage repair and manufacturing environments. Traditional "Digital Twin" enterprise software solutions require massive infrastructure updates, cost-prohibitive licensing, and exhaustive setup windows. Without actionable operational feedback, floor managers remain blind to real-time bottlenecks, while technicians struggle with scheduling manual updates and space constraints.


Chandan Khatri - Sr Service manager
"The data collected in a paper based system is far from accurate, incomplete and eats up a lot of work-hour to make it readable."
Puja Sharma - Engineer
"Stopping to log data on paper causes her to sometimes remove gloves, step away from the workbench, missed out process step etc."

Yantra Output

The Solution

We engineered a highly agile, low-cost alternative to a full-scale Digital Twin system. By leveraging Microsoft SharePoint, Power Platform tools, and an Azure IoT framework paired with strategic hardware components, this implementation handles data collection seamlessly. The stack combines manual operator entries with automated physical tracking to generate automated notifications, interactive performance charts, and live operational graphs. This directly alleviates technician friction and equips supervisors with immediate diagnostic metrics.


Technical Deliverables & Specifications

  • Frontend Interfaces: Lightweight, mobile-responsive Power Apps terminal screens optimized for fast data entry by floor workers.

  • Hardware Sensors: Integrated RFID scanner networks engineered for industrial positions across assembly tracks.

  • Cloud Warehousing: Managed Azure IoT Central ingest framework synced with custom Microsoft Power Automate flows.

  • Analytics Dashboard: Implemented Power BI analytics reporting center featuring automated alerts and live queue monitoring charts.

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