How can Manufacturing Intelligence connect real-world manufacturing experience with product design to support better engineering decisions? Manufacturing Intelligence can connect what happens in production with the decisions made during product design. Harri Pihlajavesi explores how manufacturing data, process variation, and quality history can provide valuable feedback to engineering teams and help inform future product development.

How can Manufacturing Intelligence help manufacturers identify and investigate quality risks across their supply chains? Manufacturing Intelligence extends beyond the factory floor. Harri Pihlajavesi explores how manufacturing context, quality data, and supplier information can help manufacturers understand component quality, identify potential risks, and investigate problems across increasingly complex supply chains.

Manufacturing data means different things depending on who is asking the question. Harri Pihlajavesi explores why meaningful Manufacturing Intelligence requires more than access to data, including an understanding of manufacturing context, process behavior, and the different perspectives of engineers, plant managers, and quality leaders.

Statistical Process Control has been helping manufacturers understand process behavior for decades. Harri Pihlajavesi explores how SPC builds statistical history, preserves manufacturing context, and provides a foundation for Manufacturing Intelligence and AI.

Manufacturers have been building process knowledge for decades through data, statistical analysis, investigations and experience. Manufacturing Intelligence connects that accumulated knowledge with the context and history Manufacturing AI needs to help people investigate what is happening in a specific manufacturing environment.