AI on the Shop Floor

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Insights You'll Gain

With this resource you will learn to:
  • Practical use cases of AI in manufacturing—from vibration sensors and quality cameras to digital KPI dashboards and co-bots

  • How to use existing shop floor data to forecast demand, reduce stockouts, and optimize labor

  • Step-by-step roadmap to pilot AI projects that deliver measurable results with minimal risk

  • Cost-effective strategies for integrating AI with legacy equipment using retrofit sensors

  • Guidance on workforce training, funding resources, and vendor evaluation to support a sustainable digital transformation
  • Tips to overcome common mistakes, such as starting too big or neglecting operator input

AI on the Shop Floor: How Smaller Manufacturers Can Put AI to Work
This whitepaper breaks down how small and mid-sized manufacturers can harness AI to gain a competitive edge without overhauling existing systems. With case-based insights and phased guidance, you’ll discover how to take the first step toward digital transformation—whether you’re exploring predictive maintenance, automated quality control, or more efficient resource planning. The paper also tackles common implementation roadblocks—like funding, data readiness, team buy-in, and legacy equipment—and offers strategic advice for overcoming them.

 

*This whitepaper was developed through the combined expertise of contributors from IMEC and Goodman Lantern.

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