Displaying 791-800 of 993 results for

EAST Exhibitor:

EAST Exhibitor:

EAST Session: Equipment manufacturers face rising competition, hardware commoditization, and shrinking margins. The solution? Innovating with IoT, AI, and cloud services to enhance equipment value and create new revenue streams. By connecting hardware to the cloud via wireless sensors, manufacturers can collect real-time data on health and usage. This enables value-added services like condition monitoring, asset tracking, and predictive maintenance—paving the way for Equipment as a Service (EaaS). While full servitization is a long-term goal, the journey brings immediate benefits: competitive differentiation, stronger customer relationships, and recurring revenue. However, 75% of these projects fail or face long delays, and many manufacturers struggle to sell software-based solutions. In this talk, we’ll break down the challenges of integrating IoT and AI—and how to overcome them. With over a decade of experience, we’ll highlight common pitfalls and share success stories from industry leaders using a “Buy and Build” approach. You’ll leave with actionable strategies to accelerate your servitization journey and maximize equipment value. Significance/Importance: If you're standing still, you're falling behind. And staying ahead means innovating. Unfortunately, 75% of IoT projects fail, or drag on for years. Don't be another statistic. This talk will leave you with actionable strategies to accelerate and succeed on your servitization journey.

EAST Session: We will discuss why usage reviews are essential to your company's growth. Whether you currently have an ERP solution in place or not, it is crucial to have an internal evaluation of your systems, what works well, and what new solutions need to be put into place for the future. We will answer the following questions: - Does your ERP system meet your business objectives? - What does your ERP system do well? - How can it be improved? - How can you get the most out of your ERP solution? - Do you need an ERP solution? - What are your options for an ERP solution or an internal solution? Significance/Importance: Your business is always changing and evolving - you want to ensure your ERP system meets your needs and is growing alongside you.

EAST Exhibitor: The original optical comparator / profile projector was invented by J&L in 1919.  Screen diameters 10”, 14”, 20”, 30” 40” and 50”.  Stage sizes from 16” x 5”, 18” x 6”, 30” x 6”, 32” x 8.5”,  60” x 8.5”, 24” x 24”, 36” x 36" Table Travels; Reflection Attachment; 10X Lens; Tungsten Halogen Projection; Light Visor As the World leader in high quality comparators, we offer a range of New and Remanufactured and Factory Certified Jones and Lamson optical comparators to help you control the quality of your manufacturing at any budget. Our New optical comparators combine the best in hardware, optics, illumination, and software to meet the needs of today's manufacturers. Comparators come calibrated and ready to serve as the best measurement solution in your lab or manufacturing environment. Our technicians are fully trained and certified to service the range of Jones and Lamson measurement systems based on internationally accepted criteria for calibration laboratories.Anything else is just a compromise.

EAST Exhibitor:

EAST Exhibitor:

EAST Exhibitor:

EAST Exhibitor:

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.