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Drawing the Line on Drawings: Implications of Machine-Readable Data for Manufacturing Suppliers

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.

Leveraging Advanced Technologies to Improve Manufacturing Operations

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.

Maximizing Manufacturing Productivity and Efficiency with Industrial AI

EAST Session: Industrial AI is more accessible than ever. This technology, long viewed as “too complex” to implement, is now a practical productivity accelerator for manufacturers. The complexity misconception stems, in part, from the thinking that integration requires tearing out current systems. However, the reality is that it’s easily compatible with most legacy systems. By layering Industrial AI, ML, and other complementary tools on top of this existing data infrastructure, manufacturers reveal new improvement areas and free key resources to focus on the work that dictates long-term success. In this session, you’ll see how Industrial AI turns today’s operational challenges into an opportunity, a springboard for growth, and a means to provide your people with essential solutions. With capabilities like real‑time data contextualization and prescriptive recommendations, Industrial AI helps: - Make smarter decisions faster - Deliver continuous, measurable value - Scale subject matter expertise enterprise-wide Join us to learn how Industrial AI amplifies your workforce, maximizes the potential of your operations, and moves it forward faster than ever.

Jeff Crandall

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

Virag Vora

Speaker at EAST: Virag Vora, Technical Sales Engineer, TwinThread

James Cooper

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

Tara Gray

Speaker at EAST: Tara Gray, Event Marketing Manager, SugarCRM

Air Inc

EAST Exhibitor: Air Inc. is the leading New England distributor of 80/20 T-Slotted Aluminum Extrusion; PIAB Vacuum pumps and cups; Norgren and Koganei Air Prep, Actuators and Valves; Bimba/TRD, Alkon/Allenair, and Fabco Air Cylinders and Slides;  Humphrey and Spartan Pneumatic and Fluidic Valves; Dorner Conveyors, Enidine Shock Absorbers and Vibration Isolators; Proportion Air Proportional Control Valves. Also CPC Leak-free Couplings and Fittings; Thomson Rail linear bearings, lead screws, and electric actuators; Idem Safety Interlocks; Pinnacle Light Curtains; Pneumadyne Air Circuit Components; Freelin Wade tubing and Acro Pinch Valves.  New to our family is Piab's Ergonomic Handling Div (Tawi) vacuum lift-assist systems, Piab's Robotic Gripping Div (SAS) for End-of-Arm-Tooling solutions and Leuze Electronic sensors, scanners, and safety switches.  .