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Case Study · Antdata + Upfield

Antdata + Upfield

Ku lepszej chmurze. Wdrożenie partnera Antdata w firmie Upfield

OEE w czasie rzeczywistym na 5 kontynentach
Case study

Factories of the future, powered by Microsoft IoT

Antdata helped Upfield automate production processes across distributed plants with a Microsoft IoT data-flow architecture.

Factories of the future are no longer just frames from sci-fi films. This project is living proof: IoT in manufacturing enables significant process automation—even across dispersed plants and factories.

The challenge

Why IoT — the client’s pain points

Upfield faced typical manufacturing issues that cut into profits and disrupted production efficiency.

  • No real-time factory visibility

    The company lacked a full live view of plant operations. Sites on five continents needed a better flow of information across the business.

  • OEE across every line

    The main gap was production-line effectiveness (OEE) in all factories—hard to compare and improve without shared, timely data.

  • Centralized analysis missing

    Measurements, controls, and quality checks without real-time analysis were unreliable and weighed on enterprise results and profitability.

The solution

Microsoft IoT with a data-flow architecture

Antdata addressed these pain points by implementing Microsoft IoT and a data-flow architecture to improve production processes and data management between factories.

Step 1 connected and integrated multiple sources: IoT terminals, ERP systems and databases, and dedicated apps for production-line operators.

The results

From fragmented plants to shared production data

  • Connected global operations

    IoT, ERP, and operator apps feed one architecture so plants across continents can share operational information.

  • OEE in focus

    Production-line effectiveness becomes measurable and comparable across factories instead of trapped in local systems.

  • Data ready for deep analysis

    Centralized sources give production teams a foundation for real-time measurement, quality control, and deeper analysis.