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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 : This session explores the growing relevance of Statistical Process Control (SPC) in today’s production environments. We begin by examining the role of real-time data—referred to as the "1st life" of data—captured during the production process, emphasizing the key capabilities, expectations, and benefits of a real-time SPC system. Moving beyond its initial use, we explore the "2nd life" of data, transitioning it from a compliance and process control tool to a valuable resource for advanced analysis. This includes its role in problem-solving, root cause analysis, and predictive applications such as modeling and simulations. The session highlights how leveraging both real-time and historical data can enhance decision-making and drive continuous improvement in manufacturing processes. Significance/Importance : Minitab surveys have found that most Statistical Process Control users, approximately 65%, have SPC in place to demonstrate their ability to meet specification limits, using SPC as a compliance tool. Our results also show that only 4% of manufacturers using SPC have achieved manufacturing excellence, meaning that they leverage process understanding and ensure predictable output. The session highlights maximizing the benefit of your real-time SPC data, growing from a compliance tool to a true continuous improvement system. We will explore leveraging SPC data to enhance decision-making and to drive continuous improvement in manufacturing processes.

Speaker at EAST: Colin Gilchrist, Digital Systems Product Manager, Phillips Federal

Speaker at EAST: Ronald Graves, President, Poiema Corporation

Speaker at EAST: Elio Trolio, Director, Value Consulting, Rockwell Automation

Speaker at EAST: Robert Longfellow, CTO, Juxtum Inc.

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: