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EAST Exhibitor:

EAST Session: Abstract : In today's highly competitive manufacturing landscape, operational efficiency is more critical than ever. Yet, excessive energy consumption and unplanned downtime remain major challenges, significantly impacting productivity and costs. Traditional maintenance strategies often fail to address the root causes of inefficiencies, leading to unnecessary energy waste and unexpected failures. This session explores Energy-Centered Maintenance (ECM)—a data-driven, AI-powered approach that goes beyond conventional reliability-centered maintenance by integrating energy efficiency as a key decision-making factor. By leveraging advanced IoT sensors, AI-driven analytics, and real-time machine health monitoring, manufacturers can proactively detect faults, minimize energy loss, and extend asset life. Through real-world case studies and industry insights, attendees will learn how ECM enables manufacturers to reduce operational expenses, prevent unplanned downtime, and achieve sustainability goals—all without compromising productivity. The session will also highlight how machine learning and AI-driven predictive analytics help manufacturers make smarter maintenance decisions, optimizing energy use while ensuring equipment reliability. Whether you're looking to cut energy costs, enhance machine uptime, or align with Industry 4.0 and sustainability initiatives, this session will provide practical takeaways to help you transform your maintenance strategy. Significance/Importance : Learning Objectives Understand the limitations of traditional maintenance strategies and how excessive energy waste and unexpected downtime impact manufacturing costs and efficiency. Explore the principles of Energy-Centered Maintenance (ECM) and how AI-driven predictive analytics can optimize machine performance, reduce energy waste, and prevent costly breakdowns.

Speaker at EAST: Steve Plumb - Moderator, Editor-In-Chief, SME

Speaker at EAST: Sam Kusack, President, Kammetal Inc.

Speaker at EAST: Brian Richmond, Chief Revenue Officer, Nanoprecise SCI Corp

EAST Session:

EAST Session: Abstract : Every leader wants better results – higher sales, greater profitability, stronger talent retention. But results don’t appear out of thin air. They are outcomes, effects—each with a cause. If you want to change the results your organization is getting, you must influence what’s driving them. It’s a simple concept: for every effect, there is a cause. Yet, in the manufacturing industry, many leaders struggle to connect the dots between the two. What’s really behind your key performance indicators? The answer lies not just in the actions and behaviors of your workforce but in what drives those behaviors. This session will take you beyond the surface—the visible metrics, processes, and results—to the unseen forces shaping them. The real game-changer? The quality of thinking within your organization. Your employees' beliefs shape their thought patterns, which drive their daily decisions, actions, and ultimately, your bottom line. An organization can never outperform the mindset of its people. Join us to discover how shifting the beliefs of your workforce can elevate performance and push your organization to new heights. Significance/Importance : Manufacturing leaders strive for higher sales, profitability, and talent retention, but these results stem from deeper causes. But there are unseen forces behind key performance indicators—employee beliefs and thought patterns. Only by shifting mindsets can leaders drive better decisions, behaviors, and outcomes. You can unlock the power of thinking to elevate performance and position your organization for long-term success. And you must if you want to set yourself apart from the masses.

EAST Session: Effective data collection is critical for optimizing production lines, yet traditional methods such as manual recording and PLC-coded data collection are fraught with inefficiencies and inaccuracies. Manual data entry often misses short downtime events and is subject to operator bias, while PLC-based systems suffer from inconsistencies, excessive costs, and revalidation challenges. The future of data collection lies in automation, modular modeling, and intelligent data processing, providing a foundation for digital transformation and sustainable manufacturing excellence. This session will explore the following concepts: · Advanced data collection goes beyond monitoring bottleneck operations, incorporating machine-level insights across all assets. · A multi-layered approach – integrating real-time signal processing, logic engines, and high-speed data acquisition – enhances fidelity, reduces integration costs, and improves root cause analysis. · Additionally, Aa Fault Learning approach dynamically identifies and ranks faults, leading to better diagnostics and predictive maintenance. · By leveraging digital twins, synchronizing multiple data streams, and enabling fast data validation, companies can significantly improve operational efficiency. · A robust data collection strategy supports MES, OEE, and AI/ML applications, ensuring accurate modeling, predictive analytics, and enterprise-wide standardization.

Speaker at EAST: Jeff Crandall, Senior Manager, Additive Technologies, CCAT

Speaker at EAST: Nasir Mannan, Owner | Principal Engineer, M3DI LLC | CCAT