Increase manufacturing productivity with AI (artificial intelligence) technology

Artificial intelligence (AI) technology holds significant potential for machine builders and equipment manufacturers.

When implemented correctly, AI capabilities can reduce operational risk and increase productivity.

The path toward operational excellence is an incremental journey.

As AI tools are applied to a specific area, manufacturers reap the benefits and then expand to adjacent areas to realize new benefits and higher returns along each step of the way.

Download this white paper to find out how industrial machinery companies using manufacturing operations management (MOM) systems can exploit AI in a wide range of applications.

What are the advantages of leveraging AI technologies in manufacturing?

Artificial intelligence has emerged as a promising technology because it enables machines to learn process steps and improve performance, enhancing productivity and quality without human intervention.

Production efforts supported with AI can provide remote monitoring, use data to predict and prevent errors, anticipate changes to accommodate customization, improve reporting and more.

These capabilities give manufacturers the competitive edge they need to overcome challenges like complexity, global competition, customer-driven customization and regulatory pressures.

Overall, AI offers industrial machinery manufacturing teams the ability to make smarter decisions and widen the scope of manufacturing initiatives.

AI functionality

Artificial intelligence is designed to reproduce human capabilities of understanding, reasoning, learning and interaction.

Manufacturing AI can recognize text, images, video and sounds to gain understanding.

The technology connects and contextualizes collected data using algorithms to find logical relationships and to reason.

AI performs learning processes to find different input-output relationships.

And finally, AI can interact between people, machines and the environment with localization, mapping, navigation tools and systems like language processing.

AI in manufacturing examples

Leveraging artificial intelligence in manufacturing relies on the relationship between automated manufacturing equipment, MOM systems and AI applications.

While each individual company must decide where to implement AI capabilities first, the greatest value can be applied to manufacturing operations using a MOM system in these areas:

• Manufacturing execution system (MES)
• Quality management system (QMS)
• Advanced planning and scheduling (APS)
• Enterprise manufacturing intelligence (EMI)
• Research, development and laboratory (RD&L)

AI can be applied to these different manufacturing processes to predict information about the supply chain, production, quality and more.

Get this white paper and discover real world examples where AI has been implemented to increase productivity in manufacturing.