Excellence is a part of life, and we must strive for it, especially if our mistakes create problems for others. Mistakes are costly; they hit the bottom line. Some are costly enough to put us out of business.
Professional statisticians typically have powerful software at their disposal to perform advanced analyses and create slick graphs. But many professionals in the quality field don't enjoy that luxury. Faced with a limited budget, they must be resourceful with the software they already have. Besides, not everyone needs the capability to perform nonlinear regression with custom loss functions for maximum likelihood!
During the 1920s, a British statistician named Ronald Fisher put the finishing touches on a method for making breakthrough discoveries. Some 70 years later, Fisher's method, now known as design of experiments, has become a powerful software tool for engineers and researchers.
But why did it take engineers so long to begin using DOE for innovative problem solving? After all, they were ignoring a technique that would have produced successes similar to the following modern-day examples:
Energy generation is a multifaceted industry comprising dozens of major discrete technologies and thousands of companies. For reasons that are at once political, economic, and environmental, the energy industry occupies a central place in modern human society, and it will for the foreseeable future.
Representing the first international effort to formulate a quality management
system standard for the aerospace industry, the two-year-old AS9100 is beginning
to show its long-term value. The standard supplements ISO 9001 by addressing the
additional expectations of the aerospace industry. Already, reports along this
complicated manufacturing chain attest to–among other benefits–AS9100's
contribution to more consistent verification methods and fewer verification