SASData and AI platform

SAS data and AI for manufacturing quality

Name: SAS solutions
Brand: SAS

Bring quality data from every system together, find root causes faster and predict problems before they reach the customer.

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SAS Visual Analytics batch analysis using parallel coordinates to link raw-material quality checks to yield

Overview

SAS combines data integration, machine learning and streaming analytics to give manufacturers a consolidated view of quality across products, people, places and processes. SAS Viya is the underlying data and AI platform; SAS Production Quality Analytics is a cloud-native solution built on it.

Outcomes manufacturers target

Less scrap, waste and rework
Higher yield and lower cost per unit
Faster issue resolution and more uptime

Manufacturing quality capabilities

Integrated quality data

Combine data from separate systems and apply machine learning and deep learning.

Yield optimisation

Recommended set points, control limits and specifications, backed by root-cause analysis.

Real-time response

Streaming analytics suggest actions while problems are still developing.

Predictive quality

Detect anomalies early to prevent failures and escapes.

Automated monitoring

Alerting on quality signals across lines and plants.

KPI dashboards

Reporting for quality exploration and process optimisation.

SAS in action

Screens from SAS Analytics for IoT and SAS Visual Analytics.

SAS Analytics for IoT predictive quality analysis comparing actual and predicted values, with a variable importance table — **Predictive quality.** Champion models and the process variables that matter most.

SAS Analytics for IoT process optimisation chart comparing median and optimised throughput, with optimised set points — **Process optimisation.** Recommended set points to raise throughput.

SAS Analytics for IoT asset exploration showing sensor measurements and events over one month — **Asset exploration.** Sensor measures and events across devices over time.

SAS Visual Analytics batch analysis using parallel coordinates to link raw material quality checks to yield category — **Batch analysis.** Trace yield back to raw-material and process parameters.

Talk to Macrovention

Turn quality data into fewer defects

Tell us where yield or scrap hurts most, and we will propose a SAS pilot around it.

Contact Macrovention Email us