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By Henry Holsters and Pierson Workholding
5
2323 ratings
The podcast currently has 165 episodes available.
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Andrew and Jay are getting ready for IMTS and talking through what they actually want to find when they get there. The conversation starts with high-density workholding and the tradeoffs between flexibility, access, and optimization, then moves into 3D printing, shop organization, prototyping, and the difference between looking organized and actually improving flow. They also talk automation and AI in manufacturing. Where should automation make decisions for you, and where should it simply give a skilled operator better information? Andrew and Jay consider what aviation safety can teach manufacturers about systems, human judgment, and failing safely, then look ahead to how AI might help machines recognize problems nobody explicitly programmed them to expect. Plus, Andrew introduces his kids to Fusion, Jay automates more of his shop shutdown process, and the guys make time for the important questions, including hot sauce, fresh salsa, and whether sushi gets progressively more dangerous the farther you travel from the Pacific Ocean.

AI is starting to change the shop in ways that go far beyond ChatGPT. Andrew and Jay compare notes on the AI tools they are actually using, from automating invoices and administrative work to the possibility of simply describing a part and having AI build a 3D-printable model. They talk about where Autodesk Fusion’s AI tools are today, why learning CAD may look very different in a few years, and why good systems still matter when software keeps changing. Then it’s back to machines. Andrew is officially lathe-free, which leaves some valuable open floor space and raises the obvious question of what, if anything, should replace it. That leads into CMMs, five-axis machining, the ongoing Matsuura saga, and the constant tension between speed, quality, consistency, and automation. Remember, there is no point in making bad parts faster. Plus, IMTS is almost here. Andrew and Jay look back at the Instamachinist class of 2016, talk about what they are hoping to see at the show, and reveal how to get your hands on one of Andrew’s limited IMTS shirts.

Andrew recently sold an underutilized CNC lathe, which raises a bigger question: when an investment does not work out as planned, was the money wasted? How do you gauge what value you got out of it, even in learning? Andrew and Jay discuss knowing when to experiment, when to hire expertise instead of learning everything yourself, and why good business owners need to understand what they should and should not personally master. Then the conversation turns to KPIs, benchmarking, revenue per employee, and the danger of comparing your company against businesses operating under completely different constraints. They also dig into the levers a business owner can actually control, why discounts may simply pull future sales into the present, and the relative value of Pierson's traditional IMTS sale.

What happens when the systems meant to make your shop more efficient start creating more complexity? Can automation be dangerous? When a system works reliably, how do you keep human checks from becoming mindless? When should something live on a checklist, and when should it simply be automated? And what happens when you keep stacking new solutions on top of problems that have already been solved? Jay and Andrew cover all this plus Matsuura leveling issues, Brother’s U500 100-tool five-axis machine, pallet automation, mist filtration, shop air conditioning, and the constant challenge of improving a manufacturing operation without exhausting the people who work in it.

What does a real lean shop look like when the cameras aren’t hiding the mess? In this episode of Lean Built, Jay Pierson goes solo to break down a behind-the-scenes day at Pierson Workholding...and some of the misconceptions people have about lean manufacturing. A lean operation isn’t necessarily spotless, effortless, or perfectly optimized. Sometimes two guys wrapping a pallet is actually the right solution. Jay digs into why Pierson starts the day with 3S, how leaders should turn expectations into clear systems and procedures, and why extreme ownership means taking responsibility when your team doesn’t meet the standard. He also looks toward the future: AI, robotics, automation, and the technology that will increasingly remove tedious physical and mental labor. But the goal isn’t a world without work. There’s something deeply satisfying about making things, solving hard problems, and finishing the day knowing you produced something real.
The podcast currently has 165 episodes available.

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