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Quickly improve product quality, yield and revenue with manufacturing quality software powered by data and AI

Manufacturing quality solutions

Discover manufacturing quality solutions that address your facility's biggest challenges, including rising costs, waste, quality control and production inefficiencies.



Increase operational effectiveness and be more competitive

Adapt to emerging AI technologies to meet production goals, increase quality, enhance customer satisfaction and improve sustainability.

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Improve product quality while reducing costs

Increase your competitive advantage with higher quality and lower cost per unit.

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Optimize production yield

Improve operations with deeper, trustworthy insights that help you meet or exceed production goals.

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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.

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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

  • USG employee conducting glass mat test

    USG improved its manufacturing process and reduced downtime, costs and energy consumption. With SAS, USG enhanced the quality, efficiency, safety and cost of its products.

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SAS Viya: The data and AI platform for your manufacturing business

Clean and manage data, improve all aspects of production, automate highly accurate forecasts and optimize your supply chain for lower costs, higher productivity and greater sustainability.


Recommended resources for manufacturing quality analytics

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Solution brief

Improve manufacturing quality

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White paper

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Webinar

Optimizing Manufacturing Quality and Yield With SAS Analytics


SAS is a leader in analytics solutions

SAS is a Leader in The Forrester Wave:
AI/ML Platforms, Q3 2024.

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SAS is a Leader in the 2024 Gartner® Magic Quadrant for Data Science and Machine Learning.

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SAS is a Leader inThe Forrester Wave: Real-Time Interaction Management, Q1 2024.

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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 exploration

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.
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    전 세계 수 많은 기업들이 SAS와 함께 발전하고 있습니다.
    분석 기술의 리더가 되기 위한 첫 걸음을 시작하세요.

    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.

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