Displaying 61-70 of 162 results for

WEST Session: Scaling Hardware Without the Headaches: The Critical Need for Automated Procurement Technology Hardware manufacturing teams face unprecedented challenges in scaling procurement operations while maintaining speed, compliance, and cost efficiency. Electronic components represent 70% of the bill of materials in mission-critical industries, yet traditional procurement systems rely on manual processes that create bottlenecks and force engineering teams to spend valuable time on logistics rather than core product development. The hardware industry urgently needs technological solutions that transform procurement from a laborious, error-prone process into automated workflows that scale efficiently without proportional increases in headcount. Modern procurement platforms must integrate advanced technologies to address the unique complexities of electronic component sourcing. Critical Technology Requirements: AI-Powered Process Automation - Advanced systems that can automatically parse unstructured data from supplier communications, emails, and attachments, converting them into structured data for ERP integration. Machine learning algorithms should track complete bills of materials across hundreds of suppliers, providing predictive insights and automated exception reporting to prevent supply disruptions. Intelligent Supplier Network Management - Technology platforms that leverage large databases of pre-vetted suppliers, using automated matching algorithms to connect procurement teams with suppliers based on technical specifications extracted from 2D/3D drawings and process documentation. This eliminates the time-consuming manual vetting process that often takes weeks. Real-Time Supply Chain Visibility - Integrated systems that provide instant access to inventory levels, bill of materials analysis, and global supply intelligence, with predictive algorithms that alert teams to compliance issues, supply disruptions, and component lifecycle changes weeks before they impact production. Research indicates that organizations implementing automated procurement technologies achieve 20% efficiency improvements while maintaining compliance with strict industry regulations. The future of hardware manufacturing depends on developing and adopting these technological solutions to eliminate traditional procurement bottlenecks and enable innovation in aerospace, defense, robotics, and other critical industries.

Speaker at WEST: Michael Pace, VP Sales & Marketing, SmartSights

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.

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

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Speaker at WEST: Brian Ellis, Founder, Docket

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.