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Mining knowledge retention before expertise leaves the site
That difference is hard to put into a procedure. The retirement problem is whether the mine can preserve how experienced people resolve exceptions before that reasoning disappears.
Capturing operational reasoning can shorten the time needed to diagnose unusual conditions.
Capturing operational reasoning can shorten the time needed to diagnose unusual conditions that do not fit the normal procedure.
Prior experience becomes available across shifts, so the reasoning of one experienced operator can inform decisions on another crew.
Less experienced operators develop faster when they can see which signals mattered and why a particular intervention was chosen.
Not replacing the expert, but helping the next person find the relevant experience when the mine presents an unusual situation.
NTTデータのサポート体制は？
Identify situations dominated by diagnosis, exceptions, trade-offs and choosing between imperfect alternatives.
Connect historian signals, alarms, maintenance events, dispatch, laboratory results, shift records and operating context around real decisions.
Record which signals mattered, which alternatives were rejected, what risk the expert was protecting against and why a particular intervention was chosen.
Structure event histories so another operator can find analogous operating conditions, not merely documents containing the same keywords.
AI can retrieve similar episodes, summarize prior reasoning and expose evidence while leaving authority with the person responsible.
Connect the intervention with its result so a remembered workaround does not become permanent practice because someone once used it.
It describes accelerating retirement as a driver for moving knowledge transfer beyond static manuals toward more active knowledge-management approaches.
The objective is not to build a digital museum of everything experienced people know.
It is to preserve the reasoning that changes an operating decision, not every fact experienced people know about the mine.
A new operator should still develop judgment. A supervisor should still challenge precedent. An AI system should still expose uncertainty.
The mine should not need to experience the same difficult exception again simply because the person who understood it has left.
Mines identify which veteran judgments would be expensive to rediscover from scratch, without trying to encode every one of them.
Explore how capturing operational reasoning as decision history can protect mining knowledge as experienced people retire.
