Statistical process control with SPC
Control process stability with explitia.SPC
Statistical process control software for stable production.
Short description: Monitor production stability, detect deviations early and react before they result in defects, rework or production losses.

What is explitia.SPC?
explitia.SPC is a statistical process control system that continuously analyses production data and detects abnormal process variation in real time.

Continuous process monitoring
Verify whether production parameters remain within expected limits.

Early deviation detection
Identify process instability before non-conforming products appear.

Real-time notifications
Inform production and quality teams when the process begins to change.

Multiple data sources
Analyse data from machines, databases, ERP, MES and Excel files.
The effects of statistical process control
explitia.SPC helps production, quality and maintenance teams respond while the process can still be corrected.
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Key benefits for your production team
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Monitor process stability continuously.
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Receive alerts about abnormal variation.
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Identify the causes of quality problems.
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Connect quality control with maintenance.
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Support quality audits with detailed reports.

React before a small disruption becomes a production loss

Faster problem detection
Correct deviations before defects appear.

Lower production costs
Reduce scrap, rework and unnecessary resource consumption.

Higher product quality
Maintain stable processes and consistent manufacturing conditions.

Data-driven decisions
Use reliable process and quality information.
How does explitia.SPC work?

Collect production data
The system receives measurements from machines, production lines, databases and external systems.


Define control parameters
Expected values, control limits and reaction rules are configured for the monitored process.


Analyse process variation
Statistical tools continuously verify whether the process remains stable.


Detect deviations
The system identifies abnormal patterns and alerts responsible teams.


Initiate corrective action
Notifications, workflows or machine-stop commands help prevent further quality losses.
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What does explitia.SPC include?

Control charts


Process analysis


Root-cause analysis


Real-time alerts


Quality reporting


Data integration


Control charts
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X-bar charts
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R charts
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Control limit monitoring
Discover other modules of the Production Portal



Process analysis
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Histograms
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Correlation diagrams
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Process flow diagrams
Discover other modules of the Production Portal



Root-cause analysis
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Pareto charts
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Ishikawa diagrams
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Check sheets
Discover other modules of the Production Portal



Real-time alerts
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Deviation notifications
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Corrective workflows
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Machine-stop integration
Discover other modules of the Production Portal



Quality reporting
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Process stability reports
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Quality trends
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Audit data
Discover other modules of the Production Portal



Data integration
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Machine and sensor data
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ERP and MES data
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Databases and Excel files
Discover other modules of the Production Portal


Integrations

Production machines

Machine sensors

ERP systems

MES platforms

Production databases

Excel files

Third-party software

Production Portal modules
The system can also integrate with CMMS software, allowing detected process instability to trigger a maintenance event and assign a task to the responsible technician.
How SPC improves production quality
Read the article
Read the article

See how statistical process control helps detect deviations before they lead to defects.
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Detect process instability
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Reduce defects and rework
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Improve quality control

Topic
Statistical process control

Key areas
Stability, quality, prevention

Content type
Practical guide
explitia.SPC components

Process Stability Monitoring
Continuously verifies whether production parameters remain within expected control limits.

Statistical Analysis
Uses control charts, histograms and correlation diagrams to analyse process variation.

Root-Cause Analysis
Supports problem investigation with Pareto charts, Ishikawa diagrams and check sheets.

Notifications and Workflows
Alerts responsible teams and initiates corrective actions when deviations occur.

Reports and Quality Trends
Shows process stability, parameter changes and areas that require further investigation.

CMMS Integration
Transfers detected process problems directly to maintenance teams.
FAQ: Statistical Process Control
Statistical process control is a method of monitoring production processes using statistical analysis. It helps detect deviations, maintain process stability and ensure consistent product quality.
An SPC system monitors production measurements and verifies whether they remain within defined control limits.
The system continuously analyses production data and identifies unusual variation patterns that may indicate a process deviation.
The system includes X-bar and R control charts, histograms, Pareto charts, Ishikawa diagrams, correlation diagrams, check sheets and process flow diagrams.
Yes. It can analyse data from machines, sensors, databases, ERP and MES systems, Excel files and other software.
Yes. explitia.SPC can notify production or quality teams when a process begins to move outside expected conditions.
Yes. With the appropriate technical integration, the system can initiate a machine stop when a process deviation is detected.
Yes. Process instability can automatically create an event in the CMMS system and trigger a maintenance task.
Yes. Process stability reports, quality trends and historical data can support quality audits and improvement initiatives.
Yes. It can operate as stand-alone SPC software or as part of the Production Portal and a wider digital production environment.
Gain better control over production
Monitor process parameters, react faster to deviations and reduce the risk of quality losses with explitia.SPC.

Continuous process control

Early deviation detection

Consistent product quality


