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Centralize Asset Information
A CMMS, as part of EAM, tells maintenance managers where
an asset is, what it needs, who should work on it and when. It
automates critical asset management workflows and makes
them accessible and auditable.
Resolve issues before they happen
Asset management software supports
preventive capabilities to maintain equipment
for stable, continuous operations. It helps
ensure warranty compliance and preempt
issues that disrupt production.
Monitor assets smarter
AI-powered remote monitoring delivers
actionable insight into current and
expected states of assets. It aggregates
data across departments and information
silos, allowing for fewer, more accurate
alerts and enhanced decision-making.
Maximize asset utilization
Historical and real-time data collected
from IoT devices and analytical and
diagnostic tools help extend the
availability, reliability and usable life of
physical assets.
Manage aging assets and infrastructure
Equipment lifecycles are extended through
more informed maintenance strategies and
by embedding risk management into
business processes to improve return on
investment.
Elevate maintenance management
IoT, AI and analytics enhance equipment
maintenance practices. Asset tracking and
traceability meet increasingly complex
environmental, health and safety requirements.
Consolidate operational applications
EAM helps establish a single technology system to
manage virtually all asset types. Processes are
unified and standardized for wide-ranging asset
functions across an enterprise.
Work management
Centrally manage planned and
unplanned work, from initial request
through completion and including the
recording of actuals.
Phases of maintenance
Move from corrective maintenance, when
repairs are made after a problem occurs, to
preventive maintenance — scheduled repairs
— to predictive maintenance — repairs made
because data indicates imminent failure.
Planning and scheduling
Graphically view work orders and preventive
maintenance schedules on a Gantt chart.
Intuitively navigate work order management
to help dispatchers manage task and work
dependencies.
Supply chain management
Assets and the materials used to maintain them
are part of the supply chain. Effective solutions
should incorporate IoT technologies that help
integrate EAM with supply chain management
systems.
Health and safety
Document and report environmental,
health and safety concerns. Reduce risk
using incident analysis, corrective action
traceability, and process change
management.
Mobility
Accomplish more from reading meters to
capturing electronic signatures to using bar
codes and RFID. Take advantage of smartphone
capabilities such as photos and voice-to-text to
capture information and deliver tools,
documentation and collaboration.
Analytics
Run extended and enhanced analytics, often
powered by AI, to gain operational insights.
Optimization models can be used to automate
the planning, scheduling and work management
processes based on analysis.
Cloud
Support SaaS, cloud-based deployment or
hybrid cloud deployment to control costs,
improve system flexibility and decrease
dependency on IT.
Thank You

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Centralize Asset Information

  • 1. Centralize Asset Information A CMMS, as part of EAM, tells maintenance managers where an asset is, what it needs, who should work on it and when. It automates critical asset management workflows and makes them accessible and auditable.
  • 2. Resolve issues before they happen Asset management software supports preventive capabilities to maintain equipment for stable, continuous operations. It helps ensure warranty compliance and preempt issues that disrupt production.
  • 3. Monitor assets smarter AI-powered remote monitoring delivers actionable insight into current and expected states of assets. It aggregates data across departments and information silos, allowing for fewer, more accurate alerts and enhanced decision-making.
  • 4. Maximize asset utilization Historical and real-time data collected from IoT devices and analytical and diagnostic tools help extend the availability, reliability and usable life of physical assets.
  • 5. Manage aging assets and infrastructure Equipment lifecycles are extended through more informed maintenance strategies and by embedding risk management into business processes to improve return on investment.
  • 6. Elevate maintenance management IoT, AI and analytics enhance equipment maintenance practices. Asset tracking and traceability meet increasingly complex environmental, health and safety requirements.
  • 7. Consolidate operational applications EAM helps establish a single technology system to manage virtually all asset types. Processes are unified and standardized for wide-ranging asset functions across an enterprise.
  • 8. Work management Centrally manage planned and unplanned work, from initial request through completion and including the recording of actuals.
  • 9. Phases of maintenance Move from corrective maintenance, when repairs are made after a problem occurs, to preventive maintenance — scheduled repairs — to predictive maintenance — repairs made because data indicates imminent failure.
  • 10. Planning and scheduling Graphically view work orders and preventive maintenance schedules on a Gantt chart. Intuitively navigate work order management to help dispatchers manage task and work dependencies.
  • 11. Supply chain management Assets and the materials used to maintain them are part of the supply chain. Effective solutions should incorporate IoT technologies that help integrate EAM with supply chain management systems.
  • 12. Health and safety Document and report environmental, health and safety concerns. Reduce risk using incident analysis, corrective action traceability, and process change management.
  • 13. Mobility Accomplish more from reading meters to capturing electronic signatures to using bar codes and RFID. Take advantage of smartphone capabilities such as photos and voice-to-text to capture information and deliver tools, documentation and collaboration.
  • 14. Analytics Run extended and enhanced analytics, often powered by AI, to gain operational insights. Optimization models can be used to automate the planning, scheduling and work management processes based on analysis.
  • 15. Cloud Support SaaS, cloud-based deployment or hybrid cloud deployment to control costs, improve system flexibility and decrease dependency on IT.