Best Practices: Transitioning To Predictive Maintenance For Enhanced Asset Management
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Executive Summary
This report provides industrial operations managers and executives across asset-intensive industries with an overview of best practices for implementing predictive maintenance (PdM) solutions. To capture best practice insights, Verdantix conducted in-depth interviews with 10 predictive maintenance experts at industrial, service providers and technology firms and surveyed 256 managers in operations, maintenance and engineering roles. Verdantix research finds that while predictive maintenance solutions have been around for some time, many firms have found it difficult to prove their benefits and successfully implement them. However, experience from industry frontrunners shows that success is possible, by prioritizing critical assets, laying strong data management foundations, getting buy-in as well as proving return on investment (ROI), and integrating predictive maintenance solutions into wider digital ecosystems.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
Figure 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
About the Authors
Malavika Tohani
VP Research
Malavika is a VP Research at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more efficien...
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Kiran Darmasseelane
Senior Manager
Kiran is a Senior Manager at Verdantix, delivering data-driven insights on emerging technologies and global market trends for asset-intensive sectors such as energy, manufactu...
Henry Kirkman
Senior Analyst
Henry is a Senior Analyst in the AI Applied research team at Verdantix, specializing in enterprise AI platforms, agentic systems, industrial AI, document AI and graph database...
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