Manufacturing Culture Podcast

Jim Mayer

Manufacturing is more than the products we make; it’s the people who make the parts. On The Manufacturing Culture Podcast, I sit down with leaders, innovators, and everyday heroes to uncover the stories behind their journeys in the industry. We talk about where they started, how they’ve grown, and the challenges they’ve overcome along the way. Each episode brings a unique perspective; some practical, some inspiring, and all rooted in the human side of manufacturing. From lessons learned on the shop floor to big ideas shaping the future, it’s all about the people who make it happen. Because at the heart of every company are the people who work there, and every person has a story.

  1. 3d ago

    Alex Troesch | The Machines Outran the Software

    Jim opened this one by getting the guest’s entire bio wrong. He had researched a different Alex Troesch, announced that this one started at Google, and got politely corrected in the first thirty seconds: it was Target, not Google. He left every second of it in, warts and all, which is a pretty good preview of the whole conversation. Alex Troesch is VP of Product at Fulcrum, and the second person from that company Jim has had on the show, because he was impressed enough after talking to co-founder Sonny Han that he wanted to hear from someone else inside it. Alex came up in a small southern Indiana town, started not in manufacturing but at Target corporate, working apparel supply chains and scaling small-format stores, and caught the startup bug helping roll those stores out by literally painting walls. A decade ago, a conversation with Sonny pulled Alex into what was then a scrappy software consultancy called Atlas Solutions. Alex never left. Alex and Jim get into why culture is a deliberate choice rather than a good-or-bad verdict, why so much software built for this industry fails because its makers were never close enough to a shop floor, and why roughly two-thirds of digital transformations collapse on change management rather than technology. Then it gets to the part that should make every shop owner sit up: AI has flipped the economics of building software so completely that Fulcrum stood on stage at its own user conference and called its current product legacy. Alex explains what that means, why everyone at the company from support to account managers can now write code, and what it was like to stand on a shop floor watching a machinist feel for a microscopic burr with a fingertip, and realize the software should get out of that person’s way. Key Takeaways Culture is a choice, not a grade. Alex argues culture is a deliberate set of values specific to an organization, not universally good or bad, and if you don’t set it intentionally, someone sets it for you. You can’t build for a floor you’ve never stood on. Most manufacturing software fails because its makers underestimate the complexity and stay too far from the customer. Fulcrum’s teams run parts alongside machinists to get it right. Transformations fail on people, not data. Roughly two-thirds of digital transformations fail, and the hard part is never the data structure. It is changing how people work, which is why implementation speed matters most. AI flipped the economics of software. When development was expensive, you generalized. Now that it is cheap, the bottleneck is deciding what to build, and niche customization that never made sense is suddenly easy. Legacy is a moving target. Fulcrum called its own product legacy on stage, because any company starting today is AI-native, and standing still is how you become the old thing. Chapters 00:00 Welcome and the wrong bio 02:18 The correction: not Google, Target 03:27 Icebreaker: a heist movie 06:43 Culture is a choice 10:19 From small-town Indiana to Target corporate 11:00 Scaling stores and catching the startup bug 12:38 Joining Sonny at what was then Atlas Solutions 13:40 Why software gets manufacturing wrong 15:23 When the machines outran the software 17:57 Why most digital transformations fail 21:40 A generalist’s decade inside Fulcrum 24:09 The culture at Fulcrum 28:13 On the floor: feeling a micro-burr by hand 31:04 How AI flipped the economics of software 34:16 Calling their own product legacy on stage 36:15 What makes Alex proud 39:19 Where to find Alex and Fulcrum Find Alex LinkedIn: Alex Troesch Fulcrum

  2. Oct 20

    Roger Bassous | A People Problem Before a Technology Problem

    Roger Bassous has spent about a decade doing something most people would find deeply uncomfortable: walking into other people’s buildings and asking permission to watch. His software measures machines, which means it also, inevitably, measures the people running them, and Roger has watched more shops react to being watched than almost anyone alive. He did not start in manufacturing. He and his brother Richard were software guys at CompuWare in Detroit when Android launched, and they built a phone backup app that spent years in the top five of the Play Store. When that market crowded out around 2013, Roger opened a bar and started hanging around the mold shop where his middle brother Ed had spent sixteen years. One day Ed showed him the machine monitoring software the shop was stuck with, and it was so bad, so wrong, so slow, that a light went on. The whole city was buying this. The three brothers, two coders and a toolmaker, decided they could do it better. They went to a big Windsor mold builder, asked if they would buy it before a line of code existed, got a yes, and built RER. Roger learned once the software was running: machine monitoring is a people problem long before it is a technology problem. Roger and Jim get into the fear of Big Brother, the brother who made it personal, a story about eyebolts that shows how data changes a conversation, why your best machinist might be the one who looks like he is slacking, and why the owner who buys the bright shiny object without asking the floor ends up with a hundred-thousand-dollar paperweight under a dust tarp. Key Takeaways Monitoring is a people problem first. The hard part was never the software. It was earning the trust of people who fear being watched, which is why the brother with sixteen years on the floor was the key to the whole company. The utilization gap is hidden capacity. Shops that believe they run at eighty or ninety percent often run at thirty. That gap is not a failure, it is room to take on more work, and it is how reshoring actually happens. Data changes the conversation. A machinist complaining about missing eyebolts gets ignored. A machinist who logs the hours lost looking for them gets every bay restocked in a week. Numbers make the floor’s problems undeniable. The report card cuts both ways. Monitoring lets the real top performers prove it, and it lets owners see that the guy who looks like he’s slacking may be the one whose machines never stop. Chapters 00:00 Welcome and who Roger is 03:01 Icebreaker: a sci-fi movie 05:34 What culture means to Roger 09:27 Before RER: CompuWare and a top-five app 12:19 From a backup app to a bar to a mold shop 13:19 The bad software that became the opportunity 14:40 What Ed brought from 16 years on the floor 15:20 Idle reasons, and the pop-up that changed everything 17:45 What the early product got wrong, and finding the small shops 21:47 AI, hype, and garbage in garbage out 27:27 A people problem before a technology problem 28:38 You think you’re running at 90 percent 29:14 Capacity, reshoring, and the hidden headroom 32:31 The eyebolts story: how data changes the conversation 36:19 Walking over dollars to pick up pennies 37:32 The report card: career paths and pay for performance 41:44 The machinist everyone misjudged 43:10 What’s next for machine monitoring 45:36 What makes Roger proud 47:13 Why shops resist, and the $150K paperweight 53:02 Close Find Roger LinkedIn: Roger Bassous RER Software

  3. Oct 6

    Fireball & Challenge Flags | No Tech Bros Profiting Off Manufacturing by 2030

    We agree too much. We nod along at the same conferences, repeat the same narratives, and almost never say the uncomfortable thing out loud. So Jim grabbed a bottle of Fireball, a stack of NFL challenge flags, and the five-man team behind Covari, and borrowed the MakingChips booth to do the one thing manufacturing avoids: argue. This is the first episode of Fireball & Challenge Flags, a new, unfiltered, occasionally profane segment where disagreement is the whole point. The rules are simple. Somebody makes a claim, and if you disagree, you throw your flag and fight it out. Over forty-odd minutes and a shot, Jim and the Covari crew, co-founders Jackson Zartman and Anthony Giampapa, VP of Operations Josh Parker, CDO Arnoldas Kemeklis, and go-to-market engineer Jimmy Miklos, go after the questions most people in this industry are too polite to touch. They do not agree on much, and that is the point. Fair warning: there is cursing, there is Fireball, and there is a Lithuanian describing an AI-agent future so dystopian that Jim accuses him of writing for Black Mirror. The Fights What hollowed out American manufacturing. Jackson blames private equity rolling up and choking small shops. Jim throws the first flag and traces it to 1973 and the end of the gold standard, which turned offshoring into a tax play. We didn't lose manufacturing, we lost the cheap stuff. We stopped making toasters and started making jets. The real question is how much of it we even want back, when we can't buy the steel cheaper than overseas and still pay a living wage. The future of AI, and whether anyone asked for it. Arne paints an agent-run world where your phone and mine clink like Apple Pay and transact business on their own. Jim's response, roughly: this is not the future I want. The table lands on keeping AI away from the customer and pointing it at the repetitive work instead. Is AI-generated art actually art? Jim says prompting a box takes zero skill, so no. Arne asks how that is different from a painter choosing a brush. Nobody wins, but the Packers memes get a shout-out. No tech bros profiting off manufacturing by 2030. The hottest take came from the software company itself: Covari's belief that they should never make more than the people actually making the parts. The hills they'll die on. Josh: you can't automate DFM, so talk to the crusty machinist who marks up your page. Jackson: the tariffs did more harm than good, and only US shops and consumers paid for it. Anthony: AI isn't coming to kill small shops, but they're already years behind and need to start learning now. Jimmy: representation is what moves the needle on women in manufacturing. Jim: we created the skills gap, and the powers that be don't actually want to solve it. Chapters 00:00 Cracking the bottle: the premise and the rules 03:17 Meet the Covari team 04:00 What actually hollowed out American manufacturing 06:30 The gold standard, 1973, and the offshoring loophole 09:58 Toasters vs jets, and what we actually lost 12:08 The one-man-band shop as the rebuild path 13:40 Trade school vs college, and a round of debt stories 19:16 Hot take: the yellow pages are coming back 24:18 This is not the future I want 26:36 Tired of the slop 30:05 Black Mirror, Skynet, and guardrails for Arnie 31:10 Is AI-generated art actually art? 35:38 No tech bros profiting off manufacturing by 2030 38:39 Lightning round: the hills they'll die on 39:01 Jimmy on women in manufacturing 40:42 Josh on why you can't automate DFM 42:47 Jackson on the tariffs 43:21 Anthony on AI and small shops 44:20 Jim on who really created the skills gap 48:47 Wrap: thanks for letting us swear and drink Recorded live at the MakingChips booth. Find Covari Covari on LinkedIn, and connect with the whole team there

  4. Sep 29

    Melinda Keway | Do You Ever Wonder If What You Do Matters?

    Nick Popa learned his trade at the Henry Ford Trade School under Henry Ford, then ran a shop called Epic Machine. A teenager swept its floors, worked his way onto the machines, survived a motorcycle accident that put him in traction weeks before his daughter was born, and eventually bought the company on a twenty-year handshake buyout. That daughter is Melinda Keway, and today she owns the place. Melinda never planned any of it. She studied journalism, wanted to be Barbara Walters, and was chasing a career on the police beat when her father called and said he needed a quality person right now, and did she know what ISO was. She did not. He told her not to worry about it. She got scammed, in her words, into manufacturing, earned her lead auditor certification, and was a few months into fixing the paperwork when her dad had a stroke and she became the glue that held the shop together. That was more than twenty years ago. Two years ago, she took it all over and told him she was taking Epic from five million to ten. Epic makes precision tooling for the foundry industry and ships it to twenty-nine states and twelve countries, but the reason to listen is what Melinda built when the skilled people stopped showing up. Tired of waiting, the shop opened its own school inside the building, an intense eight-week course where a student picks mill or lathe and learns to program, set up, and run it for real, smells and fork trucks and broken taps included. She trains for the whole industry, not just her floor, and tells her people to go find the work that means something to them. She runs an open book where everybody has to know everything, and she credits it all to the team on the floor, because she has never machined a thing in her life. On the shop screen is a question she wants everyone to sit with. Do you ever wonder if what you do matters? Key Takeaways Interview where people are comfortable. Melinda runs every interview out on the shop floor, not across a desk, because machinists open up around the machines and tooling they know, and both sides learn fast whether it is a fit. When the talent won't come, build it. Rather than wait for skilled people, Epic opened its own eight-week school that trains one thing well, mill or lathe, and sends graduates into the whole industry. Train for the industry, not just your shop. She tells people to go find meaningful work wherever it is, because the industry's need for skilled people is bigger than any one company. Open book beats top dog. Everybody at Epic learns to program, set up, and operate, and nobody hoards knowledge to stay indispensable. Independence makes the whole shop stronger. Lead from your gaps. Melinda has never machined a part, and she treats that as an advantage, depending on and empowering the experts on her floor instead of overriding them. Chapters 00:00 Welcome and who Melinda is 02:46 Icebreaker: a Parks and Rec mockumentary 04:40 Culture is the vibe 05:26 Why she interviews out on the shop floor 09:16 Her dad, the janitor who bought the company 13:14 From summer jobs to journalism dreams 14:12 Scammed into a quality job 15:59 Taking over, and five to ten million 18:53 A reality show, and removing the gatekeeping 22:30 Do you ever wonder if what you do matters? 25:52 Why Epic built its own school 28:11 Inside the eight-week program 32:05 Building people for the whole industry, not just Epic 35:07 Open book: everybody has to know everything 38:22 What makes her proud 41:37 The legacy she wants to leave 43:26 Lean manufacturing and a shout-out to dad Find Melinda LinkedIn: Melinda Keway Epic Machine (Fenton, Michigan)

  5. Sep 23

    Anna Falcon | Nobody Gives You the Blueprint

    Summary Anna Falcon's parents left the Philippines with two little girls and started over in the United States. That is the opening scene of the movie she would cast, and she will tell you everything else is built on it. The persistence, the resilience, the hard work she watched up close became the base for a career she has spent noticing the dynamics between people in every room she has ever walked into. She studied industrial engineering at Georgia Tech and took her first job on the shop floor of a Lockheed Martin plant, working operations and special projects on the P-3 and C-5 programs and helping carry a multi-year, enterprise-wide ERP conversion. It was there, early, that culture struck her, when leadership answered a program's performance problems not just with process and technology but with the biggest culture of accountability initiative the company had ever run, and she watched the trust and the motivation shift in real time. She has spent the twenty years since in enterprise transformation, a decade at Ernst & Young, a run as a principal, and now vice president of CX Transformation at MCA Connect, recently acquired by Grant Thornton. This is a conversation about the thing under all of it. Anna and Jim get into why culture is core to how a business operates and not the soft stuff around the edges, why trust and accountability have to travel together, and why most digital transformations fail on change management rather than technology. She talks about leading without a blueprint, about being a data point for the women coming up behind her who did not have many, and about raising four daughters who watch her do hard things and love it. She closes on the line that is her whole operating system: humans at the center, culture first. Key Takeaways Culture is core, not soft. Anna argues culture is not the perks and team bonding around the edges. It is how an organization operates, delivers, and shows up, and it drives quality and output on a shop floor as much as anywhere. Trust and accountability travel together. Accountability without trust breeds fear. The fun stuff without accountability breeds complacency. High performance needs both. Nobody hands you a blueprint. A mentor told her there is no leadership blueprint, and it freed her to forge her own way and to leave more data points for the people coming up behind her. Transformations fail on change, not tech. Roughly seventy percent of digital transformations fail, almost always on change management. Anna's teams treat change as end to end and business led from day one, not training bolted on at the end. Acquisitions live or die on alignment. Her company's acquisition avoided the usual attrition because both sides shared a vision, and MCA's homegrown, high-trust culture believed in the leaders making the call. Chapters 00:00 Welcome and who Anna is 02:56 Icebreaker: an epic period drama 06:00 What culture means to Anna 09:07 Culture as the alignment of values 16:07 Leaving the Philippines and starting over 19:37 The culture of accountability that changed everything 22:13 Finding industrial engineering and Georgia Tech 23:50 The first job on the Lockheed shop floor 25:22 Stumbling into consulting 29:43 Learning to lead without a blueprint 31:54 The mentor who shaped her 36:37 Raising four daughters who watch her work 38:52 On the other side of an acquisition 42:54 What she wants different for the industry 48:26 Why 70% of digital transformations fail 51:21 What makes her proud 52:24 Humans at the center Find Anna LinkedIn: Anna Falcon

  6. Sep 15

    Alex Gruebele | Aluminum Cans Are Cathedrals We Walk Past

    Alex Gruebele sees cathedrals where the rest of us see trash. Hand him an aluminum can and he will tell you it is one of the most engineered objects on the planet, made by a company whose other, less profitable line is building satellites. That is the whole man: relentlessly curious, a little obsessive, and unable to walk past anything manufactured without wanting to know how it was made. He grew up in Champaign-Urbana, studied mechanical engineering at Illinois, and earned a Stanford PhD building soft actuators and sensory skins for robots that work alongside humans. Then, almost by accident, a classmate's wild idea and a pandemic made him co-founder and CTO of Mesli, a fully autonomous restaurant he and two friends built and dropped onto a lot in San Francisco. It served about ten thousand grain bowls at better than ninety-nine percent uptime, with customers asking for a monthly meal plan. It also could not raise the money a hardware company needs in a software investor's world, and it closed while it was still winning. That failure is the hinge of the conversation, and Alex is refreshingly honest about it. Today he is president and co-founder of Tau9 Labs, a semi-bootstrapped Bay Area company that builds custom, AI-accelerated software for manufacturers of every size. He and Jim get into why every factory is a snowflake, why he took the leap into a business he could control after swearing off investors, and the parallel he draws between mountaineering and building a company: calculated risk, exposure a little at a time, and a willingness to be in over your head because that is where you grow. He is also the guy painting Halo miniatures at his desk and bartering for rocks with strangers in Morocco, and he will tell you the hobbies are the point, not a distraction from it. Key Takeaways Curiosity is the throughline. From soft robotics to mineral collecting to the engineering of a soda can, Alex treats the whole made world as something worth understanding, and it fuels the work. Being right isn't enough to survive. Mesli won on food, uptime, and repeat customers, but hardware economics and a software-hungry investor climate closed it anyway. Technical success and fundability are different games. Every factory is a snowflake. Rather than force a one-size product, Tau9 builds custom software per shop, because AI-accelerated development finally makes bespoke work profitable for both sides. Ask people about their hobbies. Alex screens for the person, not just the role. Someone who goes deep on things tends to do the same at work, and a shared hobby builds real trust with a customer. Risk is a muscle, like heights. He beat a fear of heights by exposure, one climb at a time, and he runs a company the same way: calculated risk, a little more each time, comfortable being in over his head. Chapters 00:00 Welcome and the ask 02:34 Icebreaker: a Ryan Gosling action-comedy 04:39 Culture as The Office 07:11 From central Illinois to mechanical engineering 09:47 How the robot restaurant began 13:20 The shipping container that almost fell on him 14:37 Serving 10,000 meals with a robot 17:04 Why a successful restaurant still had to close 21:32 Soul searching, and the road to Tau9 Labs 25:35 The demo that became the first custom build 26:51 Who he builds software for now 29:45 Being in over your head, and missing flights 32:02 Why he asks everyone about their hobbies 34:44 Halo dioramas and collecting minerals 37:33 Overcoming a fear of heights 40:09 What mountaineering and startups share 43:33 Aluminum cans are cathedrals 45:28 What makes him proud Find Alex LinkedIn: Alex Gruebele Tau9 Labs

  7. Sep 8

    Charlotte Allen | The Judgment Gap

    Charlotte Allen did not set out to make the food in your kitchen. She trained as a respiratory therapist, watched healthcare turn toward managed care, and decided she wanted to affect people's lives in a more direct way. Food was the answer she did not see coming. Kraft recruited her out of school, and she spent sixteen years there leading innovation and technology strategy across more than ten brands you almost certainly have in your house right now. What kept her at Kraft was the culture, a diverse group of people from all over the world who made each other better, the kind of team every other company tried to poach from. What eventually pushed her out was watching that culture change after the company was bought and merged. So she left, and after a stretch of consulting work that landed in her lap, she built Rebel Success for Leaders, the change leadership firm she has now run for a decade. The reason to listen is the framework she has been sharpening ever since. Charlotte calls it the judgment gap, the widening distance between an organization's capabilities and its people's capacity to know when something is wrong. Experienced judgment is disappearing as companies retire, thin, and flatten their ranks, and AI is filling the space with polished, confident answers that carry no judgment at all. She and Jim get into why the machine is built to stroke your ego, why the friction of a colleague telling you your work is junk is the thing that builds judgment in the first place, and what a leader actually does about it: name it, track the behavior you want, and reward the friction instead of shutting it down. Her definition of culture doubles as the whole point. It is the reason a person shows up and gives their best work. Key Takeaways Culture is why people give their best. Charlotte's definition skips the metrics: culture is the reason you show up, give up time with family, and bring your best. It is also why people stay, or run for the hills. The judgment gap is widening. As organizations retire, thin, and flatten, experienced judgment disappears, and with it the capacity to sense when something is quietly going wrong. AI answers without judgment. Generative AI is built to please you and is only as good as what you feed it. If you never prompt it to challenge you or find the failure modes, it just polishes your blind spots. Friction builds judgment. The colleague who says your work is junk is doing something AI will not. Leaders should reward that friction, not silence it. People love change they can author. Explain the why so it means something to the individual, involve the front line early, and you stop having to push. Chapters 00:00 Welcome and the ask 01:40 Meet Charlotte Allen 02:27 Icebreaker: a Marvel movie 04:04 What culture means to Charlotte 05:15 Falling into food and beverage 07:03 From respiratory therapist to food science 08:36 Sixteen years at Kraft, and the culture that kept her 09:53 When the merger changed everything 13:10 Leaving corporate to start Rebel Success for Leaders 16:19 Why every mistake is the fast path 20:29 Making the change actually stick 22:47 People don't hate change, they hate change they can't author 25:12 The judgment gap, explained 28:30 AI gives you answers without judgment 34:23 The 51-point gap between belief and reality 40:06 Name it, track behavior, reward friction 44:37 What makes her proud Find Charlotte LinkedIn: Charlotte Allen, Ph.D. Rebel Success for Leaders: rebelsuccessforleaders.com Newsletter: World's Top STEM Leaders (on LinkedIn, every other week) Book: Rebel Success for Leaders

  8. Sep 1

    Sunny Han | It's Not Science Fiction, It's Manufacturing Fiction

    Ask most people to picture the future of manufacturing and they will describe a slightly better factory. Ask Sunny Han and he will describe a self-replicating machine you launch into an asteroid belt, go to sleep for a thousand years, and wake up to find has built a communication network across the galaxy. That is the altitude this conversation runs at. Sunny is the founder and CEO of Fulcrum, a manufacturing technology company that connects more than 700 manufacturers with the digital infrastructure they need to compete. He did not grow up on a shop floor. He was a kid writing code at seven, certain he would spend his life playing StarCraft, who drifted into building software for manufacturers and got quietly hooked on the depth of it. The more facilities he toured, the more intoxicating it got: the operator who can feel a microscopic burr with a fingertip, the single crystal of metal grown to survive supersonic speeds. He kept coming back to the well. But the reason to listen is what Sunny has worked out about AI and trust. He is one of the clearest voices on where artificial intelligence fits on a shop floor and where it does not. He explains why classical computers are deterministic and the real world is not, why these new probabilistic machines are a gift and a hazard at once, and why the answer is deterministic guardrails and a human who stays in the loop, because in a medical device shop that last one percent is the entire world. Along the way he reframes change management, argues that people love change they get to author, and lands on the line that named this episode. The future isn't science fiction. It's manufacturing fiction, and his whole job is turning it into reality faster. Key Takeaways The real world is probabilistic. Classical computers give the same answer every time. CNC machines and AI models do not, and understanding that difference is the key to using AI safely on a shop floor. Deterministic guardrails make AI trustworthy. Let the model generate options, but when the answer has to be exactly right, it looks up the feed and speed chart or the tool database. Creativity where you want it, certainty where you need it. Keep a human in the loop. Even at ninety-nine percent, the last one percent can be a twenty thousand dollar mistake or worse, so Fulcrum builds evaluation and judgment frameworks that flag what still needs human eyes. Infrastructure was the missing layer. Fulcrum set out to do cool things with compute and found the orchestration infrastructure under manufacturing barely existed. Build a good one and people plug everything into it. Chapters 00:00 Welcome and the ask 01:20 Meet Sunny Han and Fulcrum 02:42 Icebreaker: life as a sci-fi movie 03:28 Making parts in space, and von Neumann machines 09:40 What culture means to Sunny 12:20 Why a company needs a mission, not just values 14:52 What he thought his life would be 16:23 Stumbling into manufacturing 22:29 What problem Fulcrum set out to solve 26:40 Becoming the orchestration layer 30:43 Breaking into a skeptical industry 34:53 People don't hate change, they hate change they can't steer 37:22 Deterministic guardrails, explained 43:38 Why you still need a human in the loop 45:12 Where manufacturing is headed 47:45 Manufacturing fiction 48:10 What makes him proud: perseverance 49:47 Where to find Sunny Find Sunny LinkedIn: Sunny Han (Fulcrum) Fulcrum: fulcrumpro.com Email: sunny@fulcrumpro.com

5
out of 5
15 Ratings

About

Manufacturing is more than the products we make; it’s the people who make the parts. On The Manufacturing Culture Podcast, I sit down with leaders, innovators, and everyday heroes to uncover the stories behind their journeys in the industry. We talk about where they started, how they’ve grown, and the challenges they’ve overcome along the way. Each episode brings a unique perspective; some practical, some inspiring, and all rooted in the human side of manufacturing. From lessons learned on the shop floor to big ideas shaping the future, it’s all about the people who make it happen. Because at the heart of every company are the people who work there, and every person has a story.

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