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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.

EAST Session: Abstract : Manufacturers are keen and pragmatic on how their capital is used to advance their state of manufacturing.  And it is clear to them how investments in physical assets bring operational value.  What is not so clear is the value-add of technology to their operations.  In this session, you will learn how to translate the value of technology to operations to facilitate internal planning and justification for technology investments. You will learn how to build a business case around technology to show the expected value and ROI of that investment. Using this approach, the project team can report the financial gains to key constituents to help with continued funding and support.  Significance/Importance : Manufacturers are keen and pragmatic on how their capital is used to advance their state of manufacturing.  And it is clear to them how investments in physical assets bring operational value.  What is not so clear is the value-add of technology to their operations.  In this session, you will learn how to translate the value of technology to operations to facilitate internal planning and justification for technology investments. 

EAST Session: The aerospace manufacturing industry faces significant challenges, including the need for increased efficiency, flexibility, and cost reduction. Join us as we explore a real manufacturing scenario to see how vertical data integration from IT to OT can transform these challenges into opportunities. By connecting information silos throughout the manufacturing process, we enhance traceability and collaboration. Utilizing digital twin technology and smart manufacturing solutions enables virtual testing and optimization, helping validate part programs early on. Automation benefits, such as improved precision and consistency for example through advanced robotics, minimize human error and labor costs while increasing productivity. This integration fosters a data-driven manufacturing environment, driving innovation and competitiveness in aerospace manufacturing.

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

Speaker at EAST: James Cooper, Senior Account Executive, SmartSights

EAST Session:

EAST Session:

Speaker at EAST: Lars Faller, Corporate Account Manager, SIEMENS

EAST Session: Abstract : Enterprise-scale manufacturers continue to expand the use of precise 3D data and connected annotations, called Model-Based Definition (MBD), in place of traditional engineering drawings. The extent to which downstream suppliers are able to respond effectively to this ongoing, cross-industry change will be a significant determining factor on the structure of the manufacturing supply change in future decades. Guidelines from the United States Department of Defense (DoD) are major agents for change in this process. The DoD recognizes that MBD's capacity to support interoperable reuse of data across multiple production systems can accelerate engineering and manufacturing, improve quality, and reduce costs. When major private sector institutions like Deloitte produce findings showing how larger enterprises can gain efficiencies through these practices, expectations grow for the downstream suppliers to align themselves to these changes. For example: Lockheed has already made public that it expects its suppliers to be able to provide inspection data generated in downstream processes to be returned to them, a level of data exchange — the Digital Thread — only possible through integrated MBD processes. Understanding the factors that are currently limiting the expansion of MBD practices, and how technologies are being deployed to overcome those limits, gives perspective to today's manufacturing supplier on how they can prepare for the most imminent developments likely to arise. Significance/Importance : Industry advancement towards model-based definition (MBD) grows with each passing day in many key industries; leading the way are aerospace and defense. Major OEM manufacturers are deeply invested in this process evolution, and there are few if any market pressures influencing factors towards any other direction. Only inertia and cost of entry are acting to constrain this fundamental change.