SyteLine Statistical Process Control (SPC) Implementation Guide
Statistical Process Control in Infor SyteLine transforms quality management from reactive inspection to proactive process monitoring. By analyzing measurement data collected through the SLQualityResults IDO, SPC identifies process drift before it produces defects. SyteLine's quality module supports control chart generation, capability index calculations (Cp, Cpk), and real-time process alerts that enable operators to maintain process stability without 100% inspection overhead.
SPC Data Collection Configuration
Effective SPC requires consistent, accurate measurement data captured at the point of production. Configure SyteLine inspection plans with variable measurement test criteria that feed into the SPC analysis engine. The SLQualityResults table stores individual measurement values that are used to calculate control limits, process capability indices, and trend patterns.
- Configure variable measurement test criteria on inspection plans with target values, specification limits (USL/LSL), and measurement units
- Set up data collection intervals on the inspection plan specifying sample frequency (every N units, every N minutes, start of shift)
- Define subgroup sizes for X-bar and R chart calculations (typically 4-5 consecutive measurements per subgroup) on the SPC Parameters form
- Enable operator data entry through the SyteLine Shop Floor Control interface or handheld devices connected to the Inspection form
- Configure gauge R&R (repeatability and reproducibility) studies to validate measurement system capability before launching SPC monitoring
Control Chart and Process Capability Setup
SyteLine generates control charts from collected quality data to visualize process stability and detect out-of-control conditions. Configure chart types (X-bar/R, X-bar/S, Individual/Moving Range, p-chart, c-chart) based on data type and subgroup configuration. Calculate process capability indices (Cp, Cpk, Pp, Ppk) from the accumulated measurement data to quantify process performance against specification requirements.
- Configure X-bar and R chart generation for variable data with automatic control limit calculation from the first 25 subgroups of measurement data
- Set up Individual/Moving Range (I-MR) charts for processes where subgrouping is impractical (e.g., batch processes, destructive testing)
- Enable p-charts for attribute data tracking defective percentage across production lots from SLQualityResults pass/fail records
- Configure Cpk calculation thresholds with minimum capability requirements (e.g., Cpk >= 1.33 for standard processes, >= 1.67 for safety-critical)
- Set up Nelson rules or Western Electric rules for control chart out-of-control pattern detection beyond simple limit violations
Real-Time Alerts and Process Adjustment
The value of SPC is realized when out-of-control signals trigger immediate corrective response. Configure SyteLine to generate real-time alerts when control chart violations occur, enabling operators and quality engineers to investigate and adjust processes before defective product is produced. Link SPC alerts to NCR creation for systematic tracking of process deviations.
- Configure real-time email and workflow alerts when measurement values exceed control limits or trigger pattern-based out-of-control rules
- Set up tiered alerting: operator notification on first signal, supervisor on second consecutive signal, quality engineer on trend detection
- Enable automatic inspection hold triggers when SPC detects process instability, requiring quality engineer clearance to resume production
- Link SPC out-of-control events to automatic NCR generation in SLQualityNonConformances for formal investigation and corrective action tracking
Implement world-class SPC in your SyteLine environment—schedule a process capability assessment with our quality engineers.
Related Resources
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