SAS Production Quality Analytics

What SAS Production Quality Analytics is

SAS Production Quality Analytics applies predictive and prescriptive analytics to help manufacturers understand production processes and improve throughput and quality. Its quality-focused data model can capture information from legacy and modern MES, ERP, and other systems, regardless of format or source. The product can bring together parts movement, measurements, equipment, supplier quality, environmental, cost, and organizational data, then create batch data sets connecting upstream and downstream batches with quality and process measures.

An automatic monitoring engine tracks process health continuously and supports alerts. Predictive methods include decision trees, neural networks, regression analysis, and clustering. The analysis workspace offers Pareto charts, histograms, distribution analysis, regression and curve fitting, and path analysis. KPI dashboards and web-based reports and graphs present results.

The product is offered for self-hosted and web use. SAS Viya offerings support cloud, hybrid, and on-premises deployment, as well as managed and self-managed use. Docker and Kubernetes compatibility supports elastic, multitenant, distributed services. Prospective customers can request pricing, and the product page offers a SAS Viya trial in a private environment.

Who it suits

It suits manufacturers seeking to combine quality and production data across MES, ERP, equipment, supplier, and other sources. It is also relevant to teams that need continuous process monitoring, predictive modeling, and quality analysis across cloud, hybrid, on-premises, self-hosted, or web deployments.

Getting started

1. Visit the SAS Production Quality Analytics website.
2. Request pricing from SAS.
3. Use the product page to access the SAS Viya trial in a private trial environment.
4. Select a self-hosted or web deployment approach.
5. Choose a supported cloud, hybrid, or on-premises environment through SAS Viya offerings.

Verdict

Choose SAS Production Quality Analytics if manufacturing teams need an integrated view of production and quality data, with monitoring and predictive analysis in one product. It is available across several deployment arrangements, while buyers should contact SAS for pricing.