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Start manufacturing AI at one bottleneck, not the whole factory
A small Korean supplier can test value where delays actually constrain completed orders.
Zocri · 2 min read · Sources checked
Productivity starts with the constrained step
OECD analysis in its Korea 2024 survey identifies lower productivity among smaller manufacturing firms than large firms. The comparison is structural and does not prescribe factory-wide AI. For a small supplier, the more useful starting point is the step that prevents otherwise ready orders from moving forward.
That step could be quotation preparation, missing production instructions or a queue for a specialist's approval. Improving an unconstrained activity may make a local metric look better while leaving completed output unchanged. Map the flow of an order before deciding which technology deserves a trial.
Separate information delays from physical capacity
Record why work waits. A missing drawing and an occupied machine create different problems. An assistant may help organize a request for missing information, while a physical capacity shortage could require scheduling changes, maintenance or equipment rather than generated text.
Use a week of actual waiting cases to choose the pilot. Avoid assuming that the most visible or expensive machine is the bottleneck. The aim is to identify a repeated constraint that the proposed tool can influence, with a clear owner able to check its output.
Define a safe advisory boundary
For an information-focused trial, let AI draft a job packet from approved records and flag missing fields. Keep material selection, technical approval and any safety-critical operating decision with qualified people. A complete-looking packet should never be treated as proof that its technical content has been approved.
Test a revised drawing and a late customer change. Staff should be able to identify the authoritative version and see whether earlier instructions are obsolete. This version check matters because accelerating the wrong instruction can increase rework faster than it increases useful production.
Measure flow through the constraint
Track waiting time, clarification requests and completed orders affected by the pilot. Also record review effort and errors that escape the preparation stage. A reduction in document-writing time is supporting evidence, not the final result if orders still wait just as long.
Expand only when the constrained step becomes easier to manage without weakening quality. Then remap the process, because the limiting step may have moved. This is our manufacturing decision framework, informed by the productivity concern but grounded in the specific flow of work your own team can observe.