Manufacturers have consistently been at the forefront of technological development and integration, and the same holds true for artificial intelligence. Presently, Click Bond, Inc. , a maker of adhesive-bonded fasteners for aerospace and industrial applications, is exploring AI uses within their supply chain. The challenge: According to Click Bond CEO and NAM SMM Vice Chair Karl Hutter, supply chain management remains an imprecise discipline, and AI technology has the potential to enhance operations significantly. “There are many areas …where guesses must be made or buffers added due to the inherent unreliability of data, ” explained Hutter. “This is precisely where technology can play a crucial role. ” Boosting efficiency: AI helps overcome these difficulties by filtering out the noise and avoiding assumptions that often lead to inefficiencies. “We need better clarity on supply, demand, and scheduling, ” Hutter stated. “Such tools allow us, as a supplier, to optimize production runs, efficiently meet customer needs, and respond effectively to just-in-time supply. ” “AI performs the vital task of identifying important information, correlating historical data, and making predictions beyond human capability, ” he added. Data translation: With no universal industry standard for data formatting, manufacturers often struggle to integrate their knowledge. Fortunately, AI offers a solution. “My data tables may differ from those of my customers and suppliers, ” Hutter noted.

“AI can comprehend the data structure rules of all parties involved, acting as a translator between them. ” For instance, Click Bond has been supplying products to Boeing for nearly four decades, supporting every product line across its military, civil, and space sectors. AI could elevate this collaboration to new heights. Advancing production: AI tools also assist manufacturers during production by interpreting diverse data types and suggesting solutions. “[AI’s translation ability] also applies to the technical data environment—transforming models and simulations into actual parts, ” said Hutter. “It’s a similar process. How do you confidently and securely exchange technical data?This technology can facilitate that. ” Guidance for manufacturers: Hutter recently participated in a workshop focusing on these technologies and advises manufacturers interested in AI to seek out similar hands-on learning opportunities. “There’s nothing like experiencing these tools firsthand to truly grasp them, ” he encouraged. “You can read extensively and ponder, but the best approach is to engage in practical education to discover what these tools can truly accomplish. ” View More