Manufacturing quality solutions
Discover manufacturing quality solutions that address your facility's biggest challenges, including rising costs, waste, quality control and production inefficiencies.
Why choose SAS for manufacturing solutions?
Manufacturing quality software from SAS solves the challenges of quality control, production issues, rising costs and waste, and disparate data sources.
Increase operational effectiveness and be more competitive
Adapt to emerging AI technologies to meet production goals, increase quality, enhance customer satisfaction and improve sustainability.
Improve processes, sustainability & profitability
Achieve process optimization and generate value across the business. SAS makes it easy to do your own modeling, saving you money.
Reduce complexity & accelerate innovation
Speed data cleanup times and ensure what data users need is right on their desktops for fast, actionable insights.
The value of manufacturing quality analytics solutions from SAS
SAS is a leader in analytics solutions
SAS is a Leader inThe Forrester Wave: Real-Time Interaction Management, Q1 2024.
Featured product
Learn more about our manufacturing quality analytics product that can help you improve operations, achieve predictive maintenance, reduce energy and waste, and lower costs.
SAS Production Quality Analytics
Gain a holistic view of quality across the enterprise and throughout the entire supply chain with this cloud-native software.
- Automated monitoring and alerting.
- Predictive modeling and quality.
- Quality explorations and process optimization.
- Reporting and KPI dashboards.





How SAS Enables Better Manufacturing Quality
Get a consolidated view of quality across products, people, places and processes. Gain in-depth knowledge of customer perceptions. And detect potential problems early.
Root-cause analysis
- Reduce scrap and increase production yield.
- Gain deeper process understanding with a complete spectrum of market-leading advanced analytics tools – from exploratory analysis, to design of experiments with optimizers, to cause-and-effect tools.
- Enable more uptime and smoother operations by using root-cause analysis to troubleshoot and correct issues fast.
Enterprise quality data management
- Get a single, comprehensive view of quality across the entire product life cycle.
- Eliminate data silos and combine the voices of the process, product and customer.
- Integrate structured and unstructured quality-related data from all sources.
Advanced early-warning analytics
- Quickly combine and analyze huge quantities of data using predictive analytics with embedded AI.
- Identify issues early, even before they occur, so you can proactively take corrective action to improve outcomes.
- Use patented analytic models to detect emerging trends faster and more accurately than traditional early-warning techniques.
Predictive quality
- Achieve advanced process control (APC) using predictive modeling techniques, including neural networking, regression analysis and clustering.
- Automatically monitor the health of all manufacturing processes to help ensure continuous product quality.
- Set up downstream processes based on upstream results to compensate for prior quality issues.
SAS Profile이 있으십니까? 이 양식을 자동으로 완성하려면 로그인