How SAS® Enables the Connected Factory
Connect disparate data sources in the era of Industry 4.0. Apply a combination of monitoring, diagnostics and predictive maintenance techniques to improve asset and product reliability, as well as lower the cost of unexpected downtime.
A holistic view of operations
- Remove barriers imposed by siloed operational systems and gain full visibility into what's happening on the shop floor and out in the field.
- Bring together the voices of the process, product and customer for a single, comprehensive view of both process and product quality.
- Integrate structured and unstructured operational data from sources across your business.
Predictive maintenance
- Minimize unplanned downtime and increase the availability of key assets.
- Maximize overall equipment effectiveness (OEE).
- Increase return on assets (ROA) while reducing maintenance costs by shortening the mean time to repair (MTTR).
- Avoid rush parts deliveries, repair overtime payments and high buffer stocks.
Early warning of potential issues
- Apply quality-specific data models and patented analytics to drive early warning of emerging quality and reliability issues, data-driven root cause analysis and deeper process understanding.
- Help predict potentially catastrophic equipment and process incidents.
- Quickly identify design and production defects before they become widespread.
Flexible implementation
- Start small from one use case for a specific asset and grow in analytics maturity, number of use cases applied and scale of deployment for a smarter, more connected factory.
Our objective is to improve production, not spend time producing or collecting data.Makoto Miyamori Senior Manager of the No. 2 Manufacturing Innovation Section
Related Products & Solutions
- 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® Field Quality AnalyticsDetect emerging issues and perform root-cause analysis to improve product quality and brand reputation.