SAS Institute Inc.- Global

SAS is the leader in analytics and artificial intelligence and is used by 2800+ manufacturing customers in more than 52 countries. Commercially active since 1976, we’re the founder, and future, of analytics. With connected quality from SAS, gain a consolidated view of quality across people, places and processes and improve production operations within the agile factory. 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. Manufacturing operations leaders need to reduce cost, improve productivity and minimize risk. Industry 4.0 initiatives can help you transform from a reactive to a proactive approach through scalable data integration and advanced analytics for extracting deeper insights. With SAS you can:

Improve manufacturing quality: Provide a holistic view of quality across the enterprise and throughout the product life cycle

Achieve higher manufacturing quality at a lower cost: Manufacturing operations leaders need to reduce cost, improve productivity, and minimize risk. Industry 4.0 initiatives help organizations transform from a reactive to a proactive approach through scalable data integration and advanced analytics to extract deeper insights

Achieve improved yields at a lower cost: Access, integrate and enrich data from multiple sources. Simplify your analytics culture. Embed insights from the production floor to the executive suite.

SAS® for Improving Manufacturing Quality and Yield is:

Powerful

Support digital transformation initiatives
Advanced data models built to support sensor and industrial IoT data streams
The world’s most advanced analytics, including artificial intelligence and machine learning

Productive

Everyone from the shop floor to the top floor has the right tools at the right time
Quality explorations allow users to view high volumes of sensor data in context
Visually identify areas needing investigation for a deeper process understanding

Proactive

Use machine learning algorithms to analyze your process
Determine optimal setpoints
Run models in real time and get predictive alerts on quality issues before they happen.

SAS® for Improved Manufacturing Quality and Yield

Автор: SAS Institute Inc.