E52: Building a Reliability Program from the Ground Up at NTT Global Data Centers

E53: How United Utilities Built a Maintenance Excellence Culture Across 700+ Facilities

The best thing we ever did was just get started. In this episode of Reliability 4.0, Phil White, [https://www.linkedin.com/in/philjwhite/] Chief Maintenance Officer at United Utilities [https://www.linkedin.com/company/united-utilities/], shares how his team transformed maintenance culture across one of the UK’s largest water and wastewater providers. Over the past six years, United Utilities rebuilt its maintenance strategy from the ground up—reworking hundreds of thousands of PM tasks, investing in technician capability, and creating a culture focused on continuous improvement instead of reactive work. We dig into: 🔸 Why maintenance excellence is more about people and culture than tools 🔸 How United Utilities rebuilt its entire PM workbank using reliability principles 🔸 The role of PM compliance and PM yield in driving accountability 🔸 How “bad actor” dashboards help identify long-term reliability problems 🔸 Why Phil believes the hardest part of transformation is simply getting started If your organization is trying to move from reactive maintenance to a proactive reliability culture, this episode offers practical lessons from a large-scale transformation journey. This episode is available on: 📺 YouTube [https://youtu.be/le0wpSXsLzQ] 🎧 Apple Music [https://podcasts.apple.com/us/podcast/reliability-4-0/id1729943699] Or wherever you get your podcasts! Want to improve your RCA and maintenance processes? 👉 https://easyrca.com/engage [https://easyrca.com/engage] #Reliability40 #MaintenanceExcellence #RootCauseAnalysis #AssetManagement #PreventiveMaintenance #ContinuousImprovement

E52: Building a Reliability Program from the Ground Up at NTT Global Data Centers

“In data centers, you don’t have the luxury of downtime—but you do have redundancy.” In this episode of Reliability 4.0, Lee McClish [https://www.linkedin.com/in/lee-mcclish-b79069a/], Director of Maintenance and Reliability at NTT Global Data Centers [https://www.linkedin.com/company/ntt-global-data-centers/] , shares how he built a reliability program from scratch for a fast-growing organization with 21 U.S. sites and hundreds of mission-critical assets. Lee discusses how he overcame the challenges of redundancy-driven complacency, built a proactive culture, and created measurable results by focusing on preventive maintenance (PMs), KPIs, and effective communication. We dig into: 🔸 How NTT's data centers balance redundancy with reliability 🔸 Why reliability and culture are the hardest aspects to change 🔸 How Lee built PMs and KPIs from scratch to track progress 🔸 The importance of educating operators and “preaching” proactive maintenance 🔸 How Lee uses scorecards to hold teams accountable and drive continuous improvement If you’re building a reliability program in a growing, complex environment—or struggling with culture change—this episode has the lessons learned you can implement today. This episode is available on 📺 YouTube [https://youtu.be/9KyLYiEAiCw] 🎧 Apple Music [https://podcasts.apple.com/us/podcast/reliability-4-0/id1729943699] Or wherever you get your podcasts! Want to improve your reliability culture and program? 👉 https://easyrca.com/engage [https://easyrca.com/engage] #Reliability40 #RootCauseAnalysis #DataCenters #PreventiveMaintenance #ReliabilityEngineering #ContinuousImprovement

E51: Why AI Fails Without Good Data—and How to Build a Reliability Foundation First

“AI will just get you to the wrong answer faster—if your data isn’t right.” In this episode of Reliability 4.0, Brian Heinsius [https://www.linkedin.com/in/brianheinsius/] from Eco Materials [https://www.linkedin.com/company/eco-material-technologies/] shares how they’re building a reliability program from the ground up—starting with data, systems, and remote monitoring across new sites. From setting up Maximo and asset hierarchies to deploying sensors and dashboards, Brian walks through what it takes to create a scalable reliability foundation before layering on advanced analytics. We dig into: 🔹Why building a clean, accurate data foundation comes before AI 🔹How remote monitoring enables small teams to manage multiple sites 🔹How AI can help analyze data—but still requires careful validation 🔹Why starting with simple RCA (like 5 Whys) is often enough early on 🔹How to use condition-based signals to trigger maintenance actions If you’re trying to scale reliability across sites—or exploring AI in maintenance—this episode is a practical look at what to build first. This episode is available on: 📺 YouTube [https://youtu.be/2hthNHektgM] 🎧 Apple Music [https://podcasts.apple.com/us/podcast/reliability-4-0/id1729943699] Or wherever you get your podcasts! Want to strengthen your RCA foundation? 👉 https://easyrca.com/engage [https://easyrca.com/engage] #Reliability40 #RootCauseAnalysis #AssetManagement #PredictiveMaintenance #AI #ReliabilityEngineering #DigitalTransformation

E50: Building a Reliability Culture at Sabert with Glenn Simmonds

In this episode of Reliability 4.0, Glenn Simmonds [https://www.linkedin.com/in/glenn-s-simmonds-cmrp-b59199a0/] from Sabert Corporation [https://www.linkedin.com/company/sabert-corporation/] shares how they built a reliable culture from the ground up—starting with a reactive culture and transforming it into proactive, sustainable machine reliability. Glenn discusses how Sabert created a roadmap for success, introduced tools, and overcame obstacles in getting leadership and technicians aligned on the importance of machine reliability and root cause analysis. We dig into: 🔸 The steps Sabert took to build a machine reliability program from scratch 🔸 How Sabert faced resistance and used change management to turn culture around 🔸 The role of documentation and institutionalizing processes for sustainability 🔸 Why Root Cause Analysis (RCA) and preventive maintenance matter more than reactive repairs 🔸 The key lessons Glenn learned about proceduralizing change in a growing organization If you’re struggling with change management or trying to build a reliability culture, this episode offers a clear blueprint for success. This episode is available on: 📺 YouTube: https://youtu.be/MnK3LHfYhBU 🎧 Apple Music: https://podcastsconnect.apple.com/my-podcasts/show/reliability-4-0/6223fe96-8647-4a4e-856f-635785c0426c/episodes Or wherever you get your podcasts! Want to see how EasyRCA can help institutionalize reliability?👉 https://easyrca.com/engage [https://easyrca.com/engage] #Reliability40 #RootCauseAnalysis #MachineReliability #ChangeManagement #Maintenance #ContinuousImprovement #ReliabilityCulture

E49: Why Most KPIs Fail—and How to Make Reliability Actually Drive Strategy

“The best KPI is one that actually achieves a strategy.”In this episode of Reliability 4.0, Kendra Moreno [https://www.linkedin.com/in/kendranmock/] and Matt Vilardebo [https://www.linkedin.com/in/mattvilardebo/] from JLL [https://www.linkedin.com/company/jll/] share how reliability programs work when metrics, data, and execution are aligned to real business goals. From supporting clients across facilities environments to building standardized reliability practices, they walk through what it takes to make reliability scalable and effective. We dig into: 🔹 Why KPIs must connect to business strategy to be meaningful 🔹 How centralized subject matter experts support reliability programs 🔹 Why not every failure requires a full RCA 🔹 How facilities reliability is evolving compared to industrial environments 🔹 How AI is being used as a force multiplier in vibration analysis If you’re building or refining a reliability program, this episode offers practical insight into how leading teams approach KPIs, RCA, and reliability execution. This episode is available on: 📺 YouTube: https://youtu.be/4nQId0clERs 🎧 Apple Music: https://podcastsconnect.apple.com/my-podcasts/show/reliability-4-0/6223fe96-8647-4a4e-856f-635785c0426c/episodes Or wherever you get your podcasts! Want to connect RCA to your reliability strategy? 👉 https://easyrca.com/engage#Reliability40 #RootCauseAnalysis #AssetManagement #FacilitiesManagement #KPIs #ReliabilityEngineering