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Manufacturers have always been on the cutting edge of tech development and integration—and it’s no different with artificial intelligence. Today, Click Bond, Inc., a manufacturer of adhesive-bonded fasteners for aerospace and industrial use, is finding applications for AI in the supply chain.

The challenge: Supply chain management is an inexact art, according to Click Bond Chief Executive and NAM SMM Vice Chair Karl Hutter, and technology like AI has the capacity to strengthen operations.

• “There are many spots … [where] a guess has to be taken or padding has to be put in because of the known unreliability of data,” said Hutter. “This is where technology has a big role to play.”

Improving efficiency: AI can break through these challenges, separating signal from “noise” and avoiding presumptions that can cause inefficiencies.

• “We need to have a better sense of the supply, the demand, the schedule,” Hutter said. “This is where those kinds of tools can fit in—so we as a supplier can optimize our production runs, meet our customers’ needs efficiently and be responsive to just-in-time supply.”
• “AI does that key job of finding what matters and correlating historic data and making predictions in a way a human can’t,” he continued.

Translating data: Because there is no single, industry-wide method for formatting data, it can be difficult for manufacturers to combine their knowledge. Happily, AI can help.

• “My data tables might look different than my customers’ and suppliers’,” said Hutter. “AI can understand the rules of data structure, and that of our customers and suppliers, and it can be a translator between them.”
• For example, Click Bond has supplied products to the Boeing Company for almost 40 years, contributing to every type of product made across its military, civil and space divisions. AI stands to take that collaboration to an even higher level.

Enhancing production: AI tools also help manufacturers during the production process by translating different kinds of data and pointing toward solutions.

• “[AI’s translation capability] applies to the technical data environment, too—how you go from a model and simulation to a produced part,” said Hutter. “It’s the same thing. How do you do technical data interchange confidently and securely? This technology [can help].”

Advice for other manufacturers: Hutter recently took part in a workshop on these tools, and he encourages manufacturers who are curious about the technology to find similar opportunities.

• “There is nothing that makes these concepts come to life [like] getting your hands on them,” said Hutter. “You can sit there and furrow your brow and read a bunch of articles, but the best thing to do is to find one of the many opportunities for some hands-on education—and you’ll start to understand what these tools can do.”