Drive deeper production process understanding with predictive analytics. Maximize throughput and quality with prescriptive analytics.
Get support for the Industrial Internet of Things (IIoT).
With real-time monitoring throughout the enterprise, it's easier to identify patterns while processes are ongoing. Take advantage of the large volumes of diverse data generated by the IIoT – at the edge or in the cloud – through our common code base and data model for key quality areas, including asset performance and field quality.
Gain a holistic view of the enterprise.
Integrate any type of data relevant to quality, productivity and utilization using our analytics-based enterprise quality solution. Proactively monitor the health of your processes, and generate sustainable quality and yield improvements while containing costs.
Improve quality and minimize production costs.
Support multiple data domains, including material movement tracking, genealogy data, process data and asset condition data using our advanced analysis workspace. Get a rich set of interactive root-cause analysis and quality improvement tools that can predict quality issues and operational performance degradations before they become serious problems.
Understand changes quickly.
Gain true process understanding across your entire manufacturing operations with world-class data mining capabilities. Document findings and problem-resolution measures, while promoting collaboration and knowledge sharing with best-practice workflows and case management.
By combining the power of data integration, automation and analytics, SAS enables you to fully understand operational processes so you can make sustainable improvements and lower associated costs.
Compatible with cloud technologies – including Docker and Kubernetes – for large-scale, elastic, multitenant, distributed services. Ready-made to take advantage of the large volumes of data generated by the IIoT.
Enterprise quality-centric data model
Captures large volumes of data regardless of format or source – from legacy to modern MES, ERP and other systems.
Automated monitoring & alerting
Continuously monitors the health of all processes to ensure quality throughout manufacturing and operations with a large-scale, automatic monitoring engine.
Provides an array of analytical tools – including explorative analysis, design of experiments with optimizers, and cause-and-effect tools such as Ishikawa diagrams – to optimize process and equipment setups.
Advanced analysis workspace
Lets users analyze quality issues and explore areas of improvement in a highly interactive and visual environment. Serves a broad variety of users, from the casual user to the high-end statistician.
Reporting & KPI dashboards
Delivers customizable reports and graphs enabling information sharing among all who need it. Includes standard and ad hoc reports, KPI scorecards, drillable views, snapshots and trend analysis from across the manufacturing operation.
View high volumes of process sensor data in context of production events like batch and product changeovers. Visually identify areas needing investigation for a faster, deeper understanding of process.
Mathematically model your production quality measures, such as yield. Run these models in real time and get predictive alerts on quality issues before they happen.
Use machine learning algorithms to analyze your process and determine the optimal setpoints. Maximize yield throughput while minimizing cost.
Our objective is to improve production, not spend time producing or collecting data. Makoto Miyamori Senior Manager, No. 2 Manufacturing Innovation Section Manufacturing Enhancement Department
Conquer all your analytics challenges – from experimental to mission critical – with faster decisions in the cloud. The latest release of SAS Viya is now available on these cloud providers.
Get to Know SAS® Production Quality Analytics
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Quality 4.0 impact and strategy handbook
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Optimizing manufacturing quality & yield with SAS analytics
Learn how to identify leading causes of unwanted variation and recommend optimal set points to maximize quality.
SAS: Providing a Comprehensive Approach to the IoT Analytics Life Cycle
Read IDC's perspective on SAS' IoT strategy.
Check out these products and solutions related to SAS® Production Quality Analytics.
- SAS® Analytics for IoTDrive innovation, efficiencies and results by putting powerful IoT analytics with embedded AI and industry-leading streaming capabilities in users' hands.
- SAS® Asset Performance AnalyticsHarness M2M and sensor data to boost uptime, performance and productivity while lowering maintenance costs and reducing your risk of revenue loss.
- SAS® Event Stream ProcessingUse machine learning and streaming analytics to uncover insights at the edge and make real-time, intelligent decisions in the cloud.
- SAS® Field Quality AnalyticsDetect emerging issues and perform root-cause analysis to improve product quality and brand reputation.
- SAS® Quality Analytic SuiteIdentify issues earlier, find root causes faster and greatly reduce costs associated with recalls and brand reputation erosion.
- SAS® Viya®Das Leistungsspektrum von SAS in einer anwenderfreundlichen Lösung. Mit der Geschwindigkeit und dem Komfort, den nur Cloud-basierte Lösungen bieten können.