The full document shows how a weak starting model can still become useful when the team sequences the work correctly: baseline assessment first, targeted model tightening second, then DOE to narrow the highest-value external conditions before additional iteration.
The emphasis is on decision compression. Instead of exploring a wide option space, the team ends up with a smaller set of runs more closely tied to yield, concordance, and cost.