Transforming quality management
Is there unused cost and sales potential in quality management? Can a transformation significantly increase the company’s earnings? more ….
Is there unused cost and sales potential in quality management? Can a transformation significantly increase the company’s earnings? more ….
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 ….
Some boards have the innovation roadmap externally reviewed if they doubt the promised innovation success. The review requires valid criteria for both promising and likely failing innovations. Innovation success by innovation quality – that is the short answer to the … Continued
If the first approach of trial and error fails, then immediately switch to the planned product optimization by Statistical Engineering. The quick and sustainable success of the plan will seem compelling to you and third parties. more ….
How should quality management be realigned in the long term? Does a realignment significantly increase the company’s return? 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
Innovation success by innovation quality – this is in short the answer to the question: what leads to the rare success, what to the predominant failure of complex innovations? To find the answer, we compared a group of successful innovations … Continued
Tricky product problems are often sticky and chewy like chewing gum: Whatever you do, you can not get rid of them. In practice, they survive because the method of trial and error has repeatedly failed, both in product engineering and … 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
Tricky product problems are often sticky and chewy like chewing gum: Whatever you do, you can not get rid of them. In practice, they survive because conventional problem solving has repeatedly failed, both in product engineering and in production. The … Continued