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ATS Global turns uncertainty into visibility at Giesse with Opcenter MES and APS

Purpose

Giesse (part of the Quanex group) thrived at producing high-quality components for windows. As a leading manufacturer in the window-hardware sector, this Italian company was already committed to quality and delivery.

However, part of their operations was cutting their full potential short: painting and finishing.

With limited visibility and traceability in these areas, the team had to rely on estimates instead of real-time data. This created uncertainty around part counts, conveyor loading, washing-cycle progress, and the status of items moving through two automated painting machines and an oven.

To stay efficient and get eyes on the full production process, Giesse needed partners who could help them digitise and streamline their operations.

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Solution Approach

Together, ATS Global and Siemens replaced uncertainty with visibility. The solution combined two key implementations:

Opcenter APS

  • Replace manual Excel-based planning
  • Implement a centralised scheduling platform
  • Adapt production plans in real time
  • Improve order tracking
  • Prioritise urgent production requirements

Opcenter EX DS (MES)

  • Track washing cycles as they happen
  • Implement a centralised scheduling platform
  • Support quality operations
  • Capture machine parameter changes
  • Optimize future recipes
  • Set up automated phase triggering

As a winning combination, the two solutions brought structure, automation, and actionable insights to Giesse’s workflow.

Systems & Tools

  • Opcenter APS
  • Opcenter EX DS (MES)

The Results

Full traceability and visibility across painting and washing operations.

Less dependence on manual checks and production estimates.

Greater production efficiency and process control.

Real-time insight into throughput, bottlenecks, and operational performance.

More reliable production planning and scheduling.

Enhanced recipe accuracy and quality assurance.

A scalable foundation for future continuous improvement.

Ready to uncover hidden data and get eyes on each step of your production process? Let’s get started.