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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.
• 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
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.
Technical Requirements                                    SAS Service Intelligence Architecture                                          About SAS
                                                          Metadata Server
Client                                                                                                                                   SAS is the leader in business analytics
                                                          • AIX, HP PA-RISC, HP IPF, Linux                                               software and services, and the largest
SAS Service Intelligence Architecture Clients               32-bit, Linux 64-bit for IPF, Solaris                                        independent vendor in the business
• Windows 32-bit workstations                               SPARC, Solaris for x64, z/OS,                                                intelligence market. With innovative
                                                            Windows 32-bit, Windows 64-bit IPF                                           business applications supported by an
Server
                                                          SAS Service Intelligence Architecture Midtier                                  enterprise intelligence platform, SAS
SAS Service Intelligence Architecture Data                                                                                               helps customers at 45,000 sites improve
                                                          • AIX, HP IPF, Solaris SPARC,
Integration Server                                                                                                                       performance and deliver value by mak-
                                                            Windows 32-bit
• AIX, HP PA-RISC, HP IPF, Linux                                                                                                         ing better decisions faster. Since 1976,
  32-bit, Linux 64-bit for IPF, Solaris                   Required software                                                              SAS has been giving customers around
  SPARC, Windows 32-bit                                   • Web application server                                                       the world THE POWER TO KNOW®        .
                                                            (e.g., Tomcat, IBM WebSphere)
SAS Service Intelligence Architecture Server
                                                          • Web file server
• AIX, HP PA-RISC, HP IPF, Linux
                                                            (e.g., Xythos WebFile Server)
  32-bit, Linux 64-bit for IPF, Solaris
  SPARC, Solaris for x64, z/OS,
  Windows 32-bit, Windows 64-bit IPF

SAS Service Intelligence Architecture
OLAP Server
• AIX, HP PA-RISC, HP IPF, Linux
  32-bit, Linux 64-bit for IPF, Solaris
  SPARC, Solaris for x64, z/OS,
  Windows 32-bit, Windows 64-bit IPF




                                                SAS Institute Inc. World Headquarters                                   +1 919 677 8000
                                                To contact your local SAS office, please visit: www.sas.com/offices
                                                SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries.
                                                ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2008, SAS Institute Inc.
                                                All rights reserved. 103652_507497.1008

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Sas Predictive Asset Maintenance

  • 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.
  • 4. Technical Requirements SAS Service Intelligence Architecture About SAS Metadata Server Client SAS is the leader in business analytics • AIX, HP PA-RISC, HP IPF, Linux software and services, and the largest SAS Service Intelligence Architecture Clients 32-bit, Linux 64-bit for IPF, Solaris independent vendor in the business • Windows 32-bit workstations SPARC, Solaris for x64, z/OS, intelligence market. With innovative Windows 32-bit, Windows 64-bit IPF business applications supported by an Server SAS Service Intelligence Architecture Midtier enterprise intelligence platform, SAS SAS Service Intelligence Architecture Data helps customers at 45,000 sites improve • AIX, HP IPF, Solaris SPARC, Integration Server performance and deliver value by mak- Windows 32-bit • AIX, HP PA-RISC, HP IPF, Linux ing better decisions faster. Since 1976, 32-bit, Linux 64-bit for IPF, Solaris Required software SAS has been giving customers around SPARC, Windows 32-bit • Web application server the world THE POWER TO KNOW® . (e.g., Tomcat, IBM WebSphere) SAS Service Intelligence Architecture Server • Web file server • AIX, HP PA-RISC, HP IPF, Linux (e.g., Xythos WebFile Server) 32-bit, Linux 64-bit for IPF, Solaris SPARC, Solaris for x64, z/OS, Windows 32-bit, Windows 64-bit IPF SAS Service Intelligence Architecture OLAP Server • AIX, HP PA-RISC, HP IPF, Linux 32-bit, Linux 64-bit for IPF, Solaris SPARC, Solaris for x64, z/OS, Windows 32-bit, Windows 64-bit IPF SAS Institute Inc. World Headquarters +1 919 677 8000 To contact your local SAS office, please visit: www.sas.com/offices SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2008, SAS Institute Inc. All rights reserved. 103652_507497.1008