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Steven Carr

Speaker at EAST: Steven Carr, President and Founder, Crawford Software

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 Insights: Get the most out of your data.

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.