SAS®Quality Lifecycle Analysis

Quality in a new light – across the enterprise and throughout the entire product life cycle. Holistic, predictive and powerful.

In the Spotlight SAS® Quality Lifecycle Analysis Fact Sheet (PDF:652KB) Process Understanding in Manufacturing and Service (Transforming process, product and service data into business intelligence) White paper (PDF:154KB) Introduction SAS Quality Lifecycle Analysis delivers a reporting, monitoring and alerting solution that provides manufacturers with a holistic view of quality across the enterprise through advanced analytic and reporting technologies. It combines the power of data integration, automation and analytics to create the most unbiased insight into large-scale manufacturing processes, which helps companies improve quality while better understanding and managing costs.   Benefits Holistic view of the enterprise. The SAS enterprise data model captures large volumes of data from across the enterprise, then transforms, standardizes and cleanses the data. SAS analytics and reporting technologies then let manufacturers align strategies and reduce the gap between target and actual performance. Quickly understand changes. World-class quality control delivers up-to-the-minute insight into the performance and quality of manufacturing operations, enabling tighter process control at every level. Early warning analytics enable users to proactively address and take action to fix potential quality and performance issues before they become a customer problem. Lower cost of quality. SAS software’s analytics and predictive data mining capabilities drive continuous quality increases, improved reliability and higher yields. This helps improve the overall manufacturing cost structure. Increased profitability. Predictive modeling allows optimal process setup, leading to improved asset utilization, optimized material consumption, reduced rework rates and reduced scrap expenses. The result is an improvement in the overall profitability of manufacturing operations. Solution Details/Features Enterprise quality-centric data model. The SAS enterprise quality-centric data model provides a manufacturer with both logical and physical storage capabilities to capture all aspects of the manufacturing process – starting with the suppliers and carrying through manufacturing, field performance and post-sales quality variables. Automated monitoring and alerting. SAS software’s large-scale, automatic monitoring engine continuously reviews the health of all processes to help monitor quality throughout manufacturing and operations. It also lets users refine and integrate business rules, enabling continual process improvements. Predictive modeling. SAS provides world-class predictive models that can be used to achieve advanced process control (APC). This allows manufacturers to set up downstream processes to compensate for quality issues that may not have been identified earlier in the operation or that were identified as a result of upstream analysis. Advanced analysis workbench. The advanced analysis workbench lets users analyze quality issues and explore areas of improvement in a highly interactive and visual environment. Designed with a range of users in mind, the SAS Advanced Analysis Workbench provides an interactive graphical interface that delivers a level of operational visibility never before experienced. Reporting and KPI dashboards with drillable alerts. SAS Quality Lifecycle Analysis features Web-based clients that deliver customizable reports and graphs enabling information sharing at all levels of the organization. This includes standard and ad hoc reports, KPI scorecards, drillable views, snapshots and trend analysis from across the manufacturing operation. How is SAS® Different End-to-end integration. SAS offers unmatched end-to-end capabilities for pulling data together, analyzing it and then making it available to those who need it throughout the entire organization. Reduced costs. State-of-the art analytics and predictive modeling capabilities drive tighter controls and improved processes, resulting in decreasing scrap expenses and rework rates. Early-warning analytics. SAS monitors thousands of parameters continuously and can send automated alerts to warn of potential quality issues before they become costly problems. Scalability. SAS is scalable to meet your growing needs, both today and tomorrow. Flexibility. While SAS provides a data model that can handle practically any type of data you may have, our data model can also be customized to incorporate any additional data types your organization may require.

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