LIVE & ONLINE CONFERENCE 17 & 18 December 2024, Chicago I rail fleet predictive maintenance
Equipment Availability. Workforce. Practicalities Of Implementing New Technology.
17 & 18 December 2024, Chicago IL rail fleet predictive maintenance
Equipment Availability. Workforce. Practicalities Of Implementing New Technology.
17 & 18 December 2024, Chicago IL rail fleet predictive maintenance
.jpg/:/cr=t:5.53%25,l:0%25,w:100%25,h:88.93%25/rs=w:388,h:194,cg:true)
-fotor-2024072517358.jpg/:/cr=t:25%25,l:0%25,w:100%25,h:50%25/rs=w:388,h:194,cg:true)
In 2024, the North American rail fleet maintenance sector is at a pivotal juncture, facing an intricate mix of supply chain disruptions and workforce challenges amid financial constraints. Acquiring essential maintenance parts across the supply chain is now highly challenging, characterized by increased costs and searching for suitable alternatives amidst global shortages. Further compounding these challenges is integrating new technologies that could help make budgets go further – i.e., advanced data utilization, AI, automated inspection technologies, and connectivity solutions.
Operators recognize the potential benefits of these technological advancements, such as improved predictive maintenance, streamlined workflows, and enhanced safety. However, the journey to fully realize these benefits is often fraught with hurdles. The process of integrating advanced data systems with existing infrastructure, for instance, requires not only significant investment but also a deep understanding of both old and new technologies. Similarly, deploying AI and automated inspection technologies demands a recalibration of existing maintenance protocols alongside developing new skill sets within the workforce.
The evolving role of the modern rail engineer now encompasses not just traditional engineering skills but also proficiency in data analysis and adaptability to new and legacy technologies. Forward-thinking rail authorities and companies are revolutionizing training programs while others are centralizing training and development. A few are even reshaping their branding and recruitment strategies to attract top-tier data analytics and AI talent.
Connectivity solutions, essential for real-time data analysis and decision-making, pose challenges, especially when retrofitting them into existing rolling stock. Such endeavors need to consider compatibility issues, infrastructure requirements at maintenance depots, and the reliability of data networks.
This year's Rail Fleet Maintenance North America 2024 is a testament to our commitment to tackling all of these issues – and more - head-on. Insights gathered from over 40 research conversations with US and Canadian rail operators and vendors highlight a common thread: the need to address these multifaceted challenges innovatively.
We also explore the practical application of new technologies, demystifying the hype surrounding AI and automated systems. We aim to showcase real-world examples of companies transitioning from conventional maintenance to data-driven condition monitoring and predictive techniques. This will include in-depth discussions on extracting value from the vast data collected, from engine monitoring to brakes and bearings.
Day two of our conference focuses on addressing data management challenges and integrating new technologies, especially considering the push for connectivity, real-time data utilization, and net zero initiatives. We will discuss the challenges and solutions related to retrofitting electrification, managing electric fleets, and the maintenance implications of these green technologies. Regulatory considerations, particularly from the Federal Railroad Administration (FRA), are crucial in navigating this landscape. We will examine how regulations impact technology adoption, from extending maintenance intervals to investing in sustainable innovations.
Despite these formidable challenges, we offer a fresh agenda rich with new topics, solutions, and opportunities. We invite you to join us at Fleet Maintenance North America 2024, where we will confront today's issues and forge pathways to a future marked by innovation, operational excellence, and accurate data-driven decision-making.
