Reliability 4.0

In this episode of Reliability 4.0, we talk with Jerid Jackson, Reliability and Asset Management Senior Manager at PepsiCo - Frito Lay North America, about how he helped roll out a standardized root cause analysis (RCA) program across a complex network of nearly 40 manufacturing sites. Jerid shares the challenges of supporting diverse teams with varying levels of RCA maturity and how EasyRCA became a practical solution for improving follow-through, standardization, and equipment uptime. He also explains how thoughtful change management—starting with pilot sites, hands-on support, and internal collaboration—fueled widespread adoption.

We also dive into how Jerid’s team uses EasyRCA’s AI features to build better executive summaries, guide users to deeper levels of analysis, and increase confidence across all experience levels. Jerid highlights success stories from sites like Aberdeen and Fayetteville, the importance of collaboration via user group calls, and how PROACT training has deepened the organization’s RCA capabilities. Whether you’re supporting a single plant or managing a network, this episode is packed with lessons on building reliability at scale.

In this episode of Reliability 4.0, we speak with Allen Garcia, mechanical engineer at Baker Hughes and PhD candidate at the University of Maryland, where his research centers on AI applications in engineering. Allen shares how he transitioned from traditional mechanical design to AI-powered reliability tools, offering a rare perspective from someone bridging deep technical experience with cutting-edge machine learning. He explains how large language models (LLMs) are helping engineers process work order data, generate knowledge graphs, and accelerate time-consuming tasks like FMEAs and RCAs.We also explore the future of AI-driven maintenance—from dynamic RCAs that update in real-time to domain-specific models built just for reliability and maintenance professionals. Allen weighs in on EasyRCA’s current AI features, the challenge of accuracy in industrial models, and the opportunity to build smarter tools without replacing human insight. Whether you’re an engineer curious about AI or a data scientist entering reliability, this is a grounded and insightful look at where the field is headed.

In this episode of Reliability 4.0, we sit down with Craig Dark, Maintenance Operations Specialist at Drax, to explore how his team rolled out an effective root cause analysis (RCA) program across their U.S. biomass facilities. Craig shares how his career evolved from hands-on millwright work to overseeing process and mechanical reliability and how that practical background shapes his approach to solving problems today. He also walks us through why Drax adopted EasyRCA, what they looked for in a software solution, and how ease of use drove organization-wide adoption.

We also dive into real examples of RCA in action—like how Craig’s team used EasyRCA to resolve a complex quality issue by uncovering not one, but seven interrelated root causes. He explains how they use Power BI for task tracking, how AI helps engineers get “unstuck,” and why executive summaries are key to stakeholder buy-in. Learn how Drax is turning RCA into a repeatable, data-driven tool for both technical and process excellence.

In this episode of Reliability 4.0, we explore the intersection of corrosion science, regulatory compliance, and predictive reliability with Dheerajkumar Narang, a Corrosion and Reliability Engineering Specialist pursuing a PhD at Harrisburg University of Science and Technology. Dheerajkumar unpacks what “Corrosion Management 4.0” really means and how modern plants can use data-driven methods to optimize inspection strategies, reduce operational risk, and maintain compliance with frameworks like API RP 581. He also shares how machine learning models can reduce bias in risk-based inspection (RBI) programs and improve asset integrity planning.

We also discuss how root cause analysis (RCA) integrates with inspection data management systems (IDMS) and why corrosion mechanisms are often the first clue to solving failures in process industries. Dheerajkumar emphasizes the importance of having a corrosion specialist on your reliability team—particularly when working in high-risk environments like oil & gas and chemical plants. He offers a clear, modern framework for improving long-term reliability through better corrosion and risk assessment practices.

In this episode of Reliability 4.0, we sit down with Ali Elsalaymeh, Associate Director of Maintenance Excellence at Bristol-Myers Squibb, to hear his journey from design engineer to seasoned reliability leader. Ali shares how his hands-on experiences in lean manufacturing, TPM, RCM2, and maintenance task analysis have shaped his approach to asset management across pharmaceutical and industrial operations. He emphasizes the critical role of KPIs like MTBF, MTTR, and OEE—and why real success starts with building credibility, measuring honestly, and focusing on fundamentals.

We also dive into the power of root cause analysis (RCA) and how small wins, like daily checklists and proper torque practices, can drive millions in savings. Ali offers practical insights on selling new initiatives internally, reducing firefighting culture, and why humility is key for young engineers looking to make an impact. Tune in for a refreshing, no-nonsense conversation on building reliability from the ground up.

In this episode of Reliability 4.0, we talk with Rafael Padilha Gama, Reliability Director for U.S. and Canada at Ingredion, about how he’s driving asset performance and cultural transformation across 19 plants. Rafael shares how a global career—spanning Brazil, Colombia, and now the U.S.—shaped his reliability mindset and why he believes reliability isn’t just about detecting failures—it’s about building a management system grounded in standardization, disciplined routines, and robust KPIs. From asset criticality to work order systems, he explains how standardizing maintenance processes lays the foundation for sustained reliability improvement.

We also dive into the pivotal role of root cause analysis (RCA) and how Ingredion uses 5G-based techniques from TPM and world-class manufacturing to empower technicians and operators. Rafael describes how vibration and temperature sensors backed by AI are transforming early failure detection across more than 1,000 assets in 15 plants—and why the future of reliability engineering lies in data literacy, prioritization, and cross-functional execution. Tune in for a masterclass in practical and strategic reliability leadership, grounded in real-world implementation.

In this episode of Reliability 4.0, we sit down with Todd Heindselman, Supervisor of Customer Support Reliability at Liebherr Mining, to explore how reliability strategies impact ultra-class mining trucks. Todd shares his journey from the U.S. Navy to leading reliability efforts for some of the largest mining equipment in the world, including 400-ton payload trucks. He explains how Weibull studies, component reliability analysis, and condition monitoring help optimize maintenance schedules and prevent costly unplanned downtime in mining operations worldwide.

We also discuss the importance of root cause analysis (RCA) in identifying failure trends and how real-time data insights enhance reliability. Todd shares insights into the tools and technologies that drive his work, from OEM-developed tracking systems to Weibull analysis software that helps forecast optimal component life cycles. He highlights why following the data—rather than making assumptions—is key to uncovering true root causes. He shares how his role bridges the gap between end users and OEMs, ensuring maximum equipment uptime and efficiency.

On this episode of Reliability 4.0, we sit down with John Ramirez, Reliability Manager at Rehrig Pacific, to discuss how he turned around a neglected manufacturing plant by implementing a structured three-stage strategy. John shares his insights on tackling low-hanging fruit, identifying top failure points, and integrating planning and scheduling to significantly reduce downtime. With experience in both maintenance and reliability across multiple industries, he explains how building a proactive culture is key to long-term success.

We also dive into the importance of root cause analysis (RCA) in eliminating recurring failures, how data-driven decision-making supports reliability goals, and why having the right experts and tools—such as CMMS and Power BI—can make all the difference. John reflects on his journey from maintenance to reliability leadership, offering valuable advice for engineers looking to drive impactful change in their organizations.

On this episode of Reliability 4.0, we chat with Rildo Pereira, Maintenance & Reliability Manager at Gestamp, about managing maintenance operations across three Tennessee plants within a global organization spanning 24 countries. Rildo shares how his team leverages SAP, IoT, and predictive maintenance tools to shift from reactive to proactive strategies, improving asset performance and reducing downtime.

We also discuss the importance of root cause analysis (RCA) in preventing recurring failures and how AI-driven insights are shaping the future of reliability. Rildo highlights a key lesson from his career: "Fixing is not the same as solving." Tune in to hear how his team is building a proactive culture and using data-driven strategies to enhance maintenance efficiency.

On this episode of Reliability 4.0, we chat with Justin R. Smith, Senior Manager of Regional Engineering and Maintenance at Americold Logistics, overseeing the North East facilities in America. Justin shares how his team ensures reliability through innovative strategies like onboard vibration monitoring, acoustic diagnostics, and predictive maintenance. He also highlights the role of CMMS tools in streamlining workflows and enhancing technician efficiency.

Justin offers practical advice on reliability metrics, technician development, and fostering cross-functional collaboration. He emphasizes the importance of clear communication, continuous training, and leveraging data-driven insights to improve operational performance. Whether you’re a seasoned professional or new to reliability, this episode delivers actionable strategies to help you succeed.