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ISO 28594:2017 represents a significant advancement in quality management by integrating accept-zero sampling systems with statistical process control (SPC) procedures. This combined approach leverages the strengths of both methodologies: the lot-disposition capability of acceptance sampling and the process-monitoring capability of SPC. The standard is designed for manufacturing environments where both supplier quality history and process stability data are available to inform acceptance decisions.
The standard defines four acceptance states based on the intersection of credit level and process capability: full inspection, normal sampling, reduced sampling, and skip-lot. For a supplier to achieve skip-lot status, they must simultaneously maintain a credit score above 15 and demonstrate Cpk ≥ 1.33 for the last 25 subgroups. The process control component requires monitoring of at least 20 subgroups of size 5 before the process capability can be considered statistically valid.
| Credit Score | Cpk < 1.0 | 1.0 ≤ Cpk < 1.33 | Cpk ≥ 1.33 |
|---|---|---|---|
| 15 – 20 | Normal sampling | Reduced sampling | Skip-lot (1 in 5) |
| 6 – 14 | Tightened sampling | Normal sampling | Reduced sampling |
| 1 – 5 | 100% inspection | Tightened sampling | Normal sampling |
| ≤ 0 | Disqualification | 100% inspection | Tightened sampling |
ISO 28594 specifies the use of X-bar and R charts (or X-bar and S charts for subgroup sizes > 10) with control limits set at ±3 sigma. The standard requires that process capability be recalculated every 100 subgroups or monthly, whichever is more frequent. When the process control chart shows an out-of-control signal (point beyond control limits, seven points on one side of centerline, or a run of six steadily increasing/decreasing points), the acceptance state immediately reverts to tightened sampling regardless of credit score.
Implementing ISO 28594 requires integrated software that pulls data from both the inspection database (lot disposition results) and the process monitoring system (SPC charts). The standard recommends a minimum of two full production cycles (from raw material to finished goods) to establish initial credit and capability baselines. For multi-station processes (e.g., injection molding with 8 cavities), capability must be assessed per station, and the lowest Cpk across all stations is used for the decision matrix.
The SPC integration in ISO 28594 requires that process control data be collected and analyzed in real-time, with control charts updated at least hourly during production. The standard specifies that X-bar and R charts (for subgroup sizes 2-10) or X-bar and S charts (for subgroups >10) be used with control limits set at ±3 sigma from the process mean. Subgroup frequency must be sufficient to detect process shifts of 1.5 sigma within 2 hours of occurrence, which typically requires subgroups of size 5 taken every 30 minutes for high-volume production. When the process control chart exhibits any out-of-control signal (a point beyond the control limits, seven consecutive points on one side of the centerline, or a run of six steadily increasing or decreasing points), the acceptance state immediately reverts to tightened sampling regardless of the current credit score. This requirement recognizes that process instability invalidates the statistical basis for reduced sampling, as the probability of producing nonconforming items increases significantly during out-of-control conditions. The process capability index (Cpk or Ppk) must be recalculated after each out-of-control episode once the assignable cause has been identified and corrected and 25 new subgroups of data have been collected under the corrected process conditions. This ensures that process capability estimates reflect the current, stable state of the process rather than being inflated by historical data that includes the out-of-control period.
ISO 28594 requires comprehensive documentation of the combined sampling system including: the rationale for selection of AQL values, the process capability acceptance criteria, the sampling intensity matrix with defined transition rules, and the procedures for handling out-of-control conditions. The standard mandates internal audits of the combined system at six-month intervals to verify: correct application of switching rules, accuracy of credit score calculations, validity of process capability estimates, and effectiveness of corrective actions taken in response to tightened inspection triggers. External (customer or third-party) audits are recommended annually. Records of all acceptance decisions, control chart data, and corrective actions must be maintained for a minimum of 3 years or as required by applicable regulatory standards. The standard also requires a continuous improvement process that analyzes trends in credit scores and process capability indices across all suppliers and product families, identifying systematic quality issues that may require cross-functional corrective action. This closed-loop quality management approach ensures that the combined sampling system evolves with the organization’s quality performance, driving continuous improvement rather than merely maintaining the status quo.