Q-Cast
Podcast | How AI Can Redefine Quality Control in Manufacturing
Image courtesy of QAD / graphics courtesy of Darryl Seland Image Credit: QAD
Glenn Graney, QAD’s Marketing Director for the Industrial and High Tech markets, is an optimist about AI. Here he explains how AI might work for your manufacturing application, how it can improve a business, and why a technology-first approach is not the best way forward.
In a recent article for Quality called, How Generative AI Could Revolutionize Manufacturing Quality Functions, Graney said, “AI - ranging from generative, predictive, and “simple” machine learning - is poised to address the manufacturing challenges by automating data analysis, integrating multiple data sources, and providing real-time insights.
Michelle: So just to start off with, could you tell us how you originally got interested in the topic of AI?
Glenn: I think I've been around manufacturing for 40 years. It's been my great pleasure to be. I've gone through plants that make spaghetti sauce and plants that make nuclear weapons and everything in between. And so the technology surrounding manufacturing is of interest to me and AI being…clearly you can't watch a program on TV, whether it's an insurance company or manufacturing or something medical, everything's AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI, AI.
Michelle: For sure. And so in the article, you kind of talk about what it actually can do for manufacturers. Could you give us a little kind of summary of what you talked about?
Glenn: Sure. I think that particularly, Michelle, you represent Quality magazine. I think that the reality is quality has been one of the most paper-laden systems of manufacturing forever. I mean, it has to do with the fact that you've got specifications to follow and you've got things, requirements to meet, and then you're trying to record them. And whether that's incoming material or whether it's the planning of a new product initiation or the operational SPC on the plant floor, all of that generates a lot of paper and a lot of repetitive manual tasks.. So when I think about AI, and in particular, generative AI, there's an opportunity there to take that tool. And maybe we've been talking about simplifying or automating those things for 40, 50 years. I mean, it's always been a paper trail. I think some of the tools that are emerging as part of AI might be the time where we finally better progress in solving those problems.
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