SAS Predictive Asset Maintenance enables organizations to reduce the risk of revenue loss by reducing asset and plant downtime. By predicting events that can cause outages, the solution can help reduce the amount of unplanned maintenance and maintenance costs. It also helps organizations run their assets at peak performance, improving quality and reducing energy costs.

1. FACT SHEET
SAS® Predictive Asset Maintenance
Optimize asset maintenance for reduced downtime and increased productivity
Capital equipment investment de-
Key Benefits
What does SAS® Predictive Asset mands a maintenance strategy that
Maintenance do? keeps operations up while guaranteeing • Reduce shutdowns and downtime
SAS Predictive Asset Maintenance safety and reliability. There is a constant Near-real-time monitoring and predic-
enables organizations to reduce the risk demand for higher asset uptime, less tive alerts help you avoid major defects
of revenue loss by reducing asset and
unplanned maintenance and reduced that can cause long downtimes. Alerts
plant downtime. By predicting events
that can cause outages, the solution can maintenance costs. generated by predictive models also
help reduce the amount of unplanned enable you to proactively address po-
maintenance and maintenance costs. It Most organizations use basic monitor- tential performance issues before they
also helps organizations run their assets ing consoles provided by the asset cause downtime or increase the length
at peak performance, improving quality
manufacturers to track performance of planned shutdowns.
and reducing energy costs.
and maintenance needs of equipment.
Why is SAS® Predictive Asset Unfortunately, these consoles are • Reduce unscheduled maintenance
Maintenance important? limited in scope with little emphasis on Predictive and near-real-time perfor-
SAS Predictive Asset Maintenance analytics, resulting in isolated views into mance alerts enable maintenance
helps organizations achieve optimized, separate tags of assets. This process teams to fix issues during already-
sustainable maintenance strategies – and is resource intensive, time consuming, scheduled maintenance outages in
improved performance and availability of prone to false alerts and driven mostly
production equipment. It supports predic- a planned, more cost-efficient way,
by domain knowledge and biased increasing availability and profits.
tive maintenance of business critical assets
and equipment, with minimal disruption to judgment. As a result, organizations are
operations. As a result, you can maximize forced to be reactive, rather than proac- • Discover root-cause analysis
the use of maintenance resources to meet tive, in their maintenance strategies.
operational goals for profitability, safety and Award-winning analytics and predic-
environmental compliance. tive data mining capabilities drive
SAS Predictive Asset Maintenance
continuously improved reliability and
Who is SAS Predictive Asset
® helps organizations achieve optimized,
equipment efficiency, as well as better
Maintenance intended for? sustainable maintenance strategies and
quality. They also help to identify the
The solution is designed for those in the improved performance and availability of
real drivers of performance issues out
operations and maintenance community, equipment. For predictive maintenance
of hundreds, or even thousands, of
and senior-level managers who are of assets with minimal disruption to pro-
responsible for achieving and exceeding measures and conditions. The avail-
duction, look to SAS for the ability to:
quality, productivity, utilization and cost ability of this data helps engineers
targets throughout the supply chain. With • Improve equipment reliability and troubleshoot faster and initiate the best
SAS, they can improve productivity and reduce unplanned downtime. corrective action.
reliability while reducing maintenance • Provide early warnings for more
costs and downtime.
cost-effective maintenance. • Improve visibility
• Reduce man hours and maintenance From legacy to modern MES, ERP,
costs by pinpointing problems and CMMS and other systems, SAS’
aligning resources. enterprise-maintenance-centric data
• Detect and correct issues earlier model captures large volumes of data,
regardless of format or source. The
to mitigate the risk of failures and
solution then transforms, standardizes
outages.
and cleanses the data to prepare it for
easy consumption by a wide range of
As a result, you can maximize the use
user groups. The data model handles
of maintenance resources to meet
virtually any type of data, to incorporate
operational goals for profitability, safety
both the current and future data types
and environmental compliance.
your organization may require.

2. • Integration of all relevant data • Automated monitoring and alerting
Solution Overview
SAS offers data integration and man- A large-scale, automatic engine
SAS Predictive Asset Maintenance is agement capabilities to capture all as- continuously monitors the health of all
an analytic-driven solution that helps pects of the operation in near-real time assets. It tests new sensor or condition
improve uptime of crucial assets and - from sensor tags through operations data against defined rules and thresh-
reduce maintenance-related disruptions and field performance. With the data olds. Once tests have been flagged,
of the operation, reducing stress on model, you can overcome the barriers supporting control charts and other
maintenance staff and resources. The imposed by siloed operational systems. reports can be supplied. Alerts can be
advanced analysis workbench provides The solution provides true visibility into published and sent through a variety of
a rich set of root-cause analysis tools to asset performance and its business im- different media, such as Web portals,
identify the precursors of events. Data pact and allows comparisons between e-mail, pager, etc. The system lets you
mining capabilities generate predictive different organizational units. refine and integrate business rules for
alerts to help solve issues before they
repeated use, enabling a continuous
cause unscheduled downtime.
improvement process.
• Predictive modeling/model
management
With unparalleled predictive modeling
capabilities and techniques, you will
receive alerts regarding equipment
and assets that are likely to fail in the
future. You can use this information to
address these issues during scheduled
maintenance for improved productiv-
ity and performance. New sensor data
and conditions are scored near-real
time against predictive models that are
developed based on historical events.
SAS® Supply Chain Intelligence Portal
Analytical Workbench with JMP® Journal

3. The solution’s model manager flawless-
Key Features
ly documents the history of the models
(development, approval, adjustments, Enterprise-maintenance-centric data model
• Measurement data in both continuous and categorical measures
etc.) and sends alerts when the accu-
• Asset/equipment data
racy of the models decreases.
• Physical failure analysis data
• Failure data
• Advanced analysis workbench • Inspection records
The advanced analysis workbench • Maintenance records
enables maintenance and reliability • Environmental data
engineers to analyze performance • Cost attributes
issues in a highly interactive and visual • Organizational data
environment. It serves a broad variety • Operations data
of users, ranging from the casual user Automated monitoring and alerting
to the expert statistician. The solution • Drill down by organization
provides a broad spectrum of tools • Drill down by asset group
to help you identify the root cause of Predictive modeling/model management
performance issues, as well as identify • Decision tree
metrics and conditions that indicate • Neural network
future issues. • Regression analysis
• Clustering
• Reporting and key performance • Scoring
indicator (KPI) dashboards with • Model management
drillable alerts Advanced analysis workbench
At any point in time, you can access per- • Pareto charts
• Control charts
formance information through standard
• Histograms
and ad hoc reports, KPI dashboards,
• Distribution analysis
drillable views, snapshots and trends,
• Regression and curve fitting
and Web-based reports and graphs.
The executive dashboard enables Reporting and KPI dashboards with drillable alerts
• KPI dashboard
reporting on current performance at
• Web-based reports
various levels and geographies. You can
• Web-based graphs
share information among those who
need it at all levels of the organization.

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OLAP Server
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