What Shel Silverstein Taught Me About the Smart Factory
I did not expect Where the Sidewalk Ends to make its way into my thinking about manufacturing strategy.
But here we are…
I grew up reading Shel Silverstein. I remember the strange drawings, the ridiculous situations, the poems that seemed almost mischievous. As a kid, I obviously wasn't analyzing why they worked. I just knew I liked them. They were funny without trying too hard, a little weird, and somehow capable of taking an idea that could have been complicated and making it stick in your head.
Now I am reading the same book to my kids. That alone is a little surreal. There are books you remember from childhood, and then there are books you suddenly find yourself holding decades later while your own kids are laughing at the same bizarre drawing you remember staring at. And somewhere during all of this, I started thinking: manufacturing could use a little more Shel Silverstein.
We have made “smart” awfully complicated
I spend a ridiculous amount of my professional life thinking, talking, writing, and presenting about manufacturing technology. Smart factories. AI. Data. Networks. Automation. Digital transformation. Convergence. I genuinely love this stuff. But we also have a remarkable ability as an industry to turn relatively simple ideas into diagrams requiring dozens of boxes, six maturity levels, three transformation horizons, and a legend. I say that as someone who has absolutely created some of those diagrams.
The problem is that somewhere along the way, “smart factory” started becoming shorthand for how much sophisticated technology a facility contains. More sensors. More software. More connectivity. More analytics. Now more AI. Those things matter enormously. But buying intelligent technology and becoming an intelligent operation are not the same thing.
The machines are only part of the story
I have walked through facilities with technology that would have seemed like science fiction earlier in my career, yet people still struggle to get the information they need. Data exists everywhere but lacks context. Systems communicate while departments do not. A beautiful dashboard shows a problem everyone already knew existed. Meanwhile, I have visited less technologically sophisticated operations where the people understand the process incredibly well, problems are attacked quickly, and improvements actually stick.
That difference fascinates me. A smart factory is ultimately a socio-technical system. Technology amplifies what is underneath it. Good processes become faster. Good decisions become better informed. But unclear ownership, poor processes, bad data, and organizational friction can get amplified too.
Which brings me back to a children's poetry book….
Maybe simple is sometimes smarter
Silverstein had an unusual ability to sneak a fairly big idea inside something playful. That is what I wanted this image to do. Not another architecture. Not another maturity model. Just a slightly ridiculous drawing, a rhyme, and a reminder that the smartest piece of equipment in the factory will never compensate for forgetting the people, processes, and purpose around it.
Maybe that is why creating this was so much fun. And maybe the manufacturing world needs a few more ideas that can be understood without first scheduling a two-hour workshop.
