How to Use More of Your Assets’ Remaining Useful Life
This webinar explores why remaining useful life is often left unused in asset-intensive operations and what prevents teams from moving from conservative replacement strategies toward more evidence-based maintenance decisions. It offers a practical view on balancing condition evidence, engineering judgement, reliability requirements, and operational risk to support more confident asset health decisions.
Balancing condition evidence, engineering judgement, and operational risk to make smarter maintenance decisions
In asset-intensive operations, there is a constant balance between reliability, safety, availability, cost, and maintenance capacity. Even with advanced condition monitoring tools and growing volumes of asset health data, many critical components are still replaced before their actual condition requires intervention.
This often feels like the safest decision, especially when OEM recommendations, historical practices, production pressure, or limited confidence in condition data influence the maintenance strategy.
Yet replacing too early can create hidden costs. It can increase maintenance workload, reduce equipment availability, consume scarce resources, and prevent your organization from fully benefiting from the remaining useful life of its assets. At the same time, extending component life without sufficient evidence or engineering judgement introduces risks that no responsible maintenance team can ignore.
This webinar explores why remaining useful life is so often left unused, and what prevents teams from moving from conservative replacement strategies toward more evidence-based maintenance decisions. You gain insight into the technical, operational, and organizational factors that shape decision-making, including risk perception, data quality, fragmented condition information, resource constraints, and the role of engineering expertise.
Rather than focusing on maximum component life at any cost, the session presents a practical approach to balancing condition evidence, human judgement, reliability requirements, and operational risk. By combining multiple sources of condition information with structured decision criteria, you can support more confident maintenance decisions and improve the way your organization manages asset health over time.
Content of the webinar
1. Why Remaining Useful Life Is Left on the Table
- Why conservative replacement strategies remain common
- The hidden operational cost of replacing too early
2. Time-Based vs Condition-Based Maintenance
- Traditional maintenance approaches
- Benefits and limitations of time-based and condition-based decision making
- Why many organizations continue to default to scheduled replacement
3. What Holds Teams Back
- Risk aversion
- Confidence in condition information
- OEM recommendations
- Fragmented maintenance data
- Skills, capacity and organizational barriers
4. A Practical Framework for Better Maintenance Decisions
- Consolidating condition information
- Monitoring asset health over time
- Establishing evidence-based decision criteria
- The importance of engineering expertise and human judgement
- Building confidence through continuous learning and validation
5. Practical Examples from Industry
- Real-world examples of safely extending component life
- Early identification of developing equipment issues before failure
- Lessons learned from implementing condition-based maintenance programs
- Discussion of measurable operational outcomes achieved through evidence-based maintenance decisions
6. Key Takeaways and Audience Discussion
- Summary of practical recommendations
- Live Q&A
Learning Objectives
By the end of this webinar, participants will be able to:
- Understand why remaining useful life is frequently left unused in asset-intensive operations.
- Recognize the operational and financial impacts of replacing components before their actual condition requires intervention.
- Identify the technical and organizational barriers that prevent wider adoption of condition-based maintenance decisions.
- Understand how multiple sources of condition information can be combined to build greater confidence in maintenance decisions.
- Apply a practical framework for evaluating component health while balancing reliability, operational risk, and maintenance resources.
- Recognize the role of engineering expertise and evidence-based decision-making in safely extending component life.
Practical information
14:45 Welcome to the BEMAS Live Learning Platform
15:00 Start of the presentation
16:00 Conclusion and Q&A
About the speaker
Jean-Phillip Bouchard is Chief Sales & Strategy Officer at Dingo and a Mechanical Engineer with more than 25 years of global mining industry experience. Throughout his career, he has worked with leading OEMs and technology providers, including ISAAC, Newtrax, Sandvik, and Dingo, and has visited more than 150 mine sites worldwide, including five years based in Latin America. His experience spans open-pit, underground, and fixed plant operations, combining technical expertise with extensive field experience in equipment commissioning, maintenance, training, and reliability improvement. Fluent in English, French, Spanish, and Portuguese, Jean-Phillip is passionate about helping mining companies solve complex operational challenges, mitigate risk, and improve asset performance. He is recognized for guiding organizations along their maintenance and reliability maturity journey, from reactive maintenance to proactive, reliability-driven operations, and currently leads Dingo's global commercial and growth strategy, partnering with mining companies to transform reliability into measurable business outcomes.
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