Five steps to enabling a data-driven, smart factory

Alun Williams for ElectronicsWeekly:  he top strategic objectives in the manufacturing industry have remained consistent for years, with many centered on serving customers.

Industrial companies want to deliver customers high quality products, on time, at a globally competitive cost. They also want to be able to flex production capabilities up and down as needed to quickly introduce new products to the marketplace.

Pairing physical assets with intelligent gateways to gather, analyze and communicate data is driving enormous new efficiencies in manufacturing and business operations.

New operational efficiencies enabled by IoT are generating significant returns in manufacturing.  Cont'd...

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Using AI to Collect & Leverage Data

Using AI to Collect & Leverage Data

Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.