The Mantua Group
Simple Black and White Asset Management, Reliability Expertise, and Maintenance Execution Perfection.
Discover why one size fits all approaches often fail to deliver. In this episode, I speak with Philip Sage about organizations’ challenges with recording failure data and making the most of it, how this affects their ability to make data-driven decisions, and their inability to apply an Asset Management framework specific to their risk profile.
If you want to learn more about creating an Asset Management framework tailored to your needs reach out to Philip Sage through LinkedIn.
Join Philip and Fred as they discuss the need to purchase, install, and maintain equipment with precision.
Topics include:
Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques to field data analysis approaches.
Podcast: Play in new window | Download
Join Philip and Fred as they discuss the difference in data analysis and results when the dataset does or does not have competing risks of failure.
Topics include:
Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques to field data analysis approaches.
Podcast: Play in new window | Download
June 2025 Edition – Bridging Qualitative and Quantitative Research in Asset Management
Feature Article: A Mixed-Methods Approach to Asset Performance
Modeling asset performance is essential for ensuring reliability and efficiency in the electrical utility sector. However, the early retirement of assets, informed by qualitative health indices like dissolved gas analysis (DGA), introduces informative censoring. This challenge limits the reliability of quantitative service life models, impacting decision-making and resource optimization.
This study develops a mixed-methods framework that integrates qualitative health assessments with quantitative modeling to address these challenges. The research examines how qualitative health indices influence early retirement decisions and their effects on statistical evaluations of asset service life.
This framework reduces prediction errors, enhancing asset management and resource allocation. The study’s findings support improved reliability analysis and operational strategies while offering a scalable model for integrating qualitative and quantitative approaches across industries.
In this episode, I speak with Philip Sage about Root Cause Analysis and Defect Elimination.
Akshay wanted to understand the difference between both and learn where they can be applied. Philip shares his experiences and what defect elimination can do for your organization.
If you want to learn more about Defect Elimination, you can reach out to Philip on LinkedIn.
Differences between Defect Elimination and Root Cause Analysis.