Case 01
Reducing investigation ageing without rewarding premature closure
In 2020, Aoritsune had 47 open manufacturing investigations older than ninety days in a defined register. The executive dashboard showed the count, but it did not distinguish missing evidence from a shortage of specialist time or an investigation whose question had been poorly framed. Production leaders wanted faster resolution. Quality colleagues were concerned that a closure objective would turn a capacity problem into pressure on the conclusion.
I asked the quality head to classify the work remaining and identify the decisions management could legitimately make. We found repeated dependence on a small group of technical specialists whose time was also committed to expansion projects. I approved ¥240 million of additional annual resource and deferred part of a non-essential process-improvement programme. The finance director challenged the recurring cost; I accepted that challenge and required a review of the workload rather than an assumption that the additional posts would remain necessary indefinitely.
We introduced monthly discussions about evidence, dependencies and investigation effectiveness. The quality organisation retained authority over conclusions. Executive reporting showed items reopened after an inadequate first explanation as well as items closed. Managers could therefore see why a lower count was not, by itself, a sufficient measure of improvement. We also recorded production and financial consequences separately so they did not become an implicit instruction about the technical answer.
After eighteen months, the older-than-ninety-day register had fallen from 47 to 13. Four closures had been reopened during the period and were shown explicitly in the review. The remaining cases had named evidence requirements and owners. I would begin with specialist demand across the whole company earlier next time. Our initial assessment focused too narrowly on the investigation team and missed the competing work that kept drawing essential expertise away.