Best Practices: Transitioning To Predictive Maintenance For Enhanced Asset Management
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Executive Summary
Table of contents
Predictive Maintenance Advances Asset Management Capabilities
‘If It Ain’t Broke, Don’t Fix It’ Is A Dated Method Of Asset Maintenance Management
Predictive Maintenance Strategies Deliver Significant Benefits
Digital Solutions Are Essential For Predictive Maintenance, But Barriers To Adoption Exist
The Recipe For Predictive Maintenance Success - Strategize, Digitize, Scale
Prioritize Predictive Maintenance For Critical Assets In Your Firm
Implement Digital Solutions To Achieve The Predictive Maintenance Gold Standard
Scale Up Returns By Expanding To Similar Assets And Demonstrating Added Sustainability Gains
Table of figures
Figure 1. The Evolution Of Maintenance StrategiesFigure 2. Level Of Digital Maturity For Asset Management
Figure 3. Sophistication Of Predictive Maintenance Solutions
Figure 4. Industry Usage Of Predictive Maintenance Software
Figure 5. Step By Step Guide On Implementing A Predictive Maintenance Tool
Figure 6. Considerations When Selecting The Right Predictive Maintenance Vendor
Figure 7. Types Of Maintenance Strategies
Organisations mentioned
Accenture, Ada Mode, Aize, Aker BP, ARMS Reliability, AspenTech, Atos, Augury, AVEVA, Baker Hughes, Bentley Systems, Borealis, Braskem, Brightly Software, C3 AI, Capgemini, Cenosco, Chevron, Cognite, Delek, Deloitte, DNV , Duke Energy, E.ON, EDP, Emerson, Endevor, Flutura, Fracttal, GE Digital, Hexagon, Hitachi Energy, Honeywell, IBM, Infraspeak, International Organization for Standardization (ISO), Itus Digital, KloudGin, LUKOIL, Lundin Energy Norway, MOL Group, Ofgem, Petronas, Pragma, Prelical Solutions, Proceedix, ReliaSol, SABIC, Seeq, Senseye, Siemens, SparkCognition, State Oil Company of Azerbaijan Republic (SOCAR), Statnett, Stork, SymphonyAI Industrial, Tauron Wytwarzanie, Ultimo, Uptake, We Energies, Wipro, YokogawaAbout the authors
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