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Why Your Operators Are Still Your Best Manufacturing Investment

WEST Session: Your next efficiency breakthrough isn't hiding in a machine learning algorithm. It's walking around your shop floor right now. While manufacturing obsesses over AI, 85% of operations still depend on human expertise. The CNC programmer who knows exactly when to adjust spindle speeds. The veteran welder who spots perfect joints in seconds. The setup technician whose alignment cuts cycle times. These operators don't just run your processes, they've mastered them. They hold the institutional knowledge that separates good production from great production. But your systems can't see what they know, creating a costly blind spot. Mid-market manufacturers nationwide face the same challenge: valuable knowledge trapped in individual heads instead of being scaled digitally. The result is lost efficiency because operator expertise can’t integrate with core systems. Companies overcoming this aren’t layering more machine learning. They’re building systems that amplify human intelligence. They digitize workflows, connect teams to real-time data, and create interfaces designed around how operators think and work, not the other way around. In this session, Docket will reveal how shop floor digitization platforms close the gap between operator expertise and digital execution. You’ll gain practical insights into smart manufacturing systems that support your frontline, enabling faster setups, higher accuracy, and smoother production. At a time when manufacturers chase the next big overhaul, don’t overlook the team that got you here. The goal isn’t replacing human insight, it’s designing systems that can multiply it.

From Shop Floor to Top Floor: Connecting Manufacturing Operations for Real-Time Insight and Efficiency

WEST Session: This session explores how connected manufacturing processes can unify production, inventory, scheduling, and financial data into a single, real-time source of truth. By integrating critical business functions—from sales orders to production planning, quality control, and shipping—manufacturers can break down silos, eliminate redundant processes, and improve responsiveness to market changes. With access to accurate and timely information, decision-makers gain the visibility needed to identify bottlenecks, reduce errors, and optimize resource allocation. Attendees will learn how adopting a connected approach not only increases efficiency and collaboration but also positions manufacturers to adapt quickly to evolving customer demands and market conditions, ensuring long-term competitiveness and growth.

Michael Kaminski

Speaker at WEST: Michael Kaminski, Chief Executive Officer & Advisor, Multiaxis & Methods Machine Tools

Leveraging Advanced Technologies to Improve Manufacturing Operations

WEST 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.

OSH Cut

WEST Exhibitor: OSH Cut is a self-serve, online metal fabrication shop where you get instant price quotes and manufacturability feedback for your custom tube and sheet metal parts. Professionals and hobbyists love the upfront clarity of our in-browser production simulations, our unrivaled selection of metals / industrial-level services, and the fact they can get high-quality parts produced as fast as the same day.

Smart Zone Knowledge Bar

WEST Exhibitor: Join us at the new SME Mission Critical: Workforce 2030, a transformative experience designed to empower manufacturers in tackling today's critical workforce challenges. This immersive destination offers a unique opportunity to assess, explore, and connect with solutions designed to unlock human potential. What awaits you: • Personalized Readiness Assessment: Start with an onsite or online assessment (sme.org/workforce) to identify your workforce needs and map strategic solutions with SME. • Technology & Talent Partners: Explore workforce readiness solutions from Tooling U-SME, SME PRIME, and SME Education Foundation in a self-guided experience. • SME Insights Desk: Hear industry leaders share valuable knowledge and tackle today’s most relevant workforce topics. • SME Think Tank Consultations: Get personalized, face-to-face consultations with SME and partner experts on your company’s unique workforce needs. • SME Theater: Discover the latest in manufacturing tech and processes through dynamic presentations and panels with thought leaders. • SME Makers Lounge: Connect, network, and collaborate with industry peers in a central, open space. Engage in discussions about the latest trends and gain practical insights to drive your business forward. Join us at SME Mission Critical: Workforce 2030 and equip your company with the tools and knowledge needed to thrive in the evolving manufacturing landscape.