SAS/QC review
Advanced quality analysis spanning control charts, capability, GAGE, reliability, and DOE.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
SAS/QC is statistical quality control software for process and manufacturing engineers and quality improvement teams. Its scope suits mid-market and enterprise teams that need more than basic SPC charts, including advanced process analysis and problem-solving methods. Current releases are listed for both the SAS Viya platform and SAS 9.4, with cloud and self-hosted deployment options.
The analysis toolkit is a defining strength: it covers Shewhart, cumulative sum, and moving average control charts, alongside multivariate process modeling and monitoring. Teams can also examine process capability and capability indices, evaluate measurement systems through the GAGE application—including repeatability and reproducibility—and use Pareto charts and Ishikawa diagrams. Reliability analysis for lifetime and repair data, analysis of means, and design of experiments including factorial designs extend the product beyond routine charting. This breadth is relevant where quality work spans process monitoring, measurement, reliability, and planned experiments.
SAS directs prospective buyers to request a demo rather than presenting product pricing on its official product page, so purchase evaluation begins through a sales conversation. SAS/QC is not presented as a free plan or open-source product. Support channels include documentation, community, and ticket support. Buyers should choose it when their teams can make use of its advanced statistical range and need cloud or self-hosted deployment; teams seeking only straightforward SPC charting may prefer a narrower tool. The product's fit depends on the organization's preferred platform and the depth of quality analysis required.
SAS/QC pros and cons
- Where it wins
- Offers Shewhart, cumulative sum, and moving average control charts
- Combines capability analysis with GAGE repeatability and reproducibility evaluation
- Includes multivariate monitoring, reliability analysis, and design of experiments
- Where it doesn't
- Pricing is available by sales contact rather than a published price
- Its broad statistical scope may exceed teams seeking basic SPC charts
- Deployment choices span cloud and self-hosted environments, requiring a fit decision
SAS/QC fact sheet, pricing and score →
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