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Module SPC · Metalya Core

Statistical Process Control

Keep process parameters within control limits and prevent deviations before they become defects.

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Why it matters

Process control in Metalya monitors production and checks that the process parameters set on the machines stay within control limits. This helps avoid harmful process deviations and out-of-control situations during processing. The result is better product quality and better performance of the production system.

  • Parameters within limits

    Process parameters set on the machines are monitored against their control limits during processing.

  • Deviations caught early

    Drifts are highlighted before they turn into defects or scrap.

  • Data for improvement

    Detailed process data supports improvements in product design and manufacturing.

Key features

What it does

  • 01

    Optimised production

    Continuous monitoring and timely adjustment of process parameters help run every production phase efficiently, increasing productivity and reducing waste.

  • 02

    Product quality

    Constant monitoring and adjustment keep products uniform and in line with predefined quality standards at every stage of the production cycle.

  • 03

    Less waste

    Preventing process issues avoids wasted time, material, energy and equipment use.

  • 04

    Continuous improvement

    Detailed process data is analysed to identify improvement areas in product design and manufacturing.

  • 05

    Regulatory compliance

    Process control supports compliance with industry regulations and safety standards, reducing the risk of penalties and product recalls.

  • 06

    Cost savings

    Less waste, better use of resources and higher product quality translate into lower costs.

  • 07

    Data integration

    Process control data can be shared with other business systems, such as ERP or CRM, for more automated, data-driven production management.

Control charts

Statistics on real process data.

Measured values and signals from connected machines feed control charts linked to the order, product and lot they belong to.

  • 01

    Chart types

    X/mR, X-R, X-S, R, S and P charts for variables and attributes.

  • 02

    Rule sets

    Rules on limits, trends and oscillation flag out-of-control points and raise alarms.

  • 03

    Machine values

    Process signals from connected machines feed control charts directly — no transcription.

  • 04

    Analysis in context

    Charts and distributions filtered by order, product and batch, to compare runs and find the source of a drift.

From cycle to control

Process control starts from how each operation is defined and continues while the machine is working.

  • Parameters defined in the cycle

    For each operation, the production cycle specifies the machines that can be used and the parameters to set.

  • Values monitored during processing

    Actual values collected from the connected machines are compared with the control limits.

  • Timely adjustment

    When a parameter drifts towards or beyond its limits, it is highlighted so the process can be adjusted before it goes out of control.

In the platform

One of the modules of Metalya Core. Every module shares one governed data model, so what happens here is immediately visible to planning, quality, materials and maintenance — and Metalya Studio adapts it to the way your plant works, with AI.

Works together with

Buy the foundation. Adapt the experience.

See Metalya on your own production scenario: your routings, your constraints, the screens your people need.

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