The instinct is to treat this as a hiring problem or a training-program problem. It's mostly neither. It's a findability problem.
Why does manufacturing onboarding take so long?
Because the job knowledge isn't written anywhere a new person can find it. A new hire's first months are an endless stream of questions: what's the part number convention, how was this machine configured, what's our policy on this, who handles that. In most mid-market manufacturers, the answers live in veterans' heads and scattered files, so every question means finding the right person, waiting for their time, and hoping they remember.
That sets the pace of onboarding. The new hire learns exactly as fast as they can extract answers from busy people. Six months isn't a training timeline; it's an interrogation timeline.
How do you compress it?
Make the answers findable without a person in the loop. When the company's knowledge (policies, standards, specs, machine histories, ERP records) is searchable in plain English, the new hire's question loop collapses from "find the right person, wait, ask" to "ask, read, verify."
The effect compounds in both directions. The new hire ramps faster because nothing gates their learning. And the veterans get their time back, because the twentieth repetition of the same answer is handled by the system instead of by them.
Where should you start? (Probably not where you think.)
Start where the questions repeat most, not where the work is most technical. At the manufacturer above, the first visible win wasn't on the production floor: it was HR. The ability to ask "what's our PTO policy, what's our sick-time policy" and get the answer with the section and page attached, instead of walking the building to find the HR person.
That sounds small. It isn't. HR questions are constant, the source documents are contained, and a wrong answer is low-stakes and easy to check, which makes it the perfect proving ground. The win lands fast, people learn to trust the system, and that trust is what carries it into the harder domains: engineering standards, machine configurations, customer history.
What does this do to the economics of a new hire?
It moves the break-even point. The cost of a new hire is salary plus the veteran time they consume plus the months before they contribute. Findable knowledge attacks all three at once: less veteran time consumed, faster path to contribution, and, less obviously, better retention math, because the company is less dependent on any single person's accumulated answers, including the new hire who leaves at year three.
It also changes what you can hire for. When the institutional knowledge is in the system rather than presumed in the candidate, you can hire for aptitude and attitude instead of paying a premium for someone who already knows your niche.
What about the knowledge that isn't written down yet?
That's the real project, and it's covered in depth in our piece on capturing tribal knowledge; the short version is: give your veterans an explicit, small role in getting their domain into the system while they're still in the building. Onboarding speed is a byproduct of that capture. The companies that ramp people in weeks aren't the ones with better training binders; they're the ones whose answers don't depend on who you know.