SAS Production Quality Analytics

What SAS Production Quality Analytics is

SAS Production Quality Analytics uses predictive and prescriptive analytics to help manufacturers understand production processes and improve throughput and quality. Its quality-focused enterprise data model can bring together information from legacy and modern MES, ERP and other systems, regardless of format or source. Data coverage can include parts movement, measurements, equipment, supplier quality, environmental, cost and organizational information. The product can build complete 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 modeling options include decision trees, neural networks, regression analysis and clustering. The analysis workspace includes Pareto charts, histograms, distribution analysis, regression and curve fitting, and path analysis. KPI dashboards and web-based reports and graphs support reporting. It is offered for self-hosted and web use; SAS Viya supports cloud, hybrid and on-premises deployment, with managed and self-managed use. Docker and Kubernetes compatibility supports elastic, multitenant, distributed services. A free SAS Viya trial in a private environment is offered, but no duration is stated. Pricing is by request.