If trial and error doesn’t work right away, fix your process problem with a Statistical Engineering plan. The quick and lasting success of your plan will seem compelling to you and to third parties. more ….
Tricky process problems are like diamonds: very robust, very old and very expensive. They resist pragmatic problem solving in product engineering and production because of repeated erroneous assumptions about the root causes. The good and highly significant message: Planned problem … Continued
Tricky process problems are often like diamonds: They are very sturdy and very expensive. In practice, they survive because conventional problem solving has failed both in product engineering and in production. The good, highly significant news: Using Statistical Engineering, tricky … Continued
Businesses specify productivity, lead time, and quality targets for business processes driven by market requirements, benchmarks, and analyses. However these targets often stay far away from wasteless value-adding performance. Often pure value-adding performance contributes only 5% to costs or lead … Continued
The engine engineering department of an automotive OEM optimized the engine intake manifold by simulation. It significantly improved specific power output and engine drivability within a few working days. As multiple variable interactions had to be optimized this success was … Continued