Oct 14 2017
Why Many Japanese Organizations Think Six Sigma Is A Joke | Ian Moore | Nipponica
“Six Sigma as a problem-solving methodology causes many hang-ups for Japanese managers. Many Americans seeking training in Six Sigma in Japanese organizations face resistance with little explanation as to why. This often leads to frustration and contempt towards management. They write off the Japanese resistance to the training as resistance to change, preventing growth and feeling unrepresented.“
Sourced through Nipponica
Michel Baudin‘s comments: In this post, Ian Moore makes the case that rejection of Six Sigma by Japanese organizations is rooted in the national culture, which is ironic, given that Six Sigma’s Black Belt concept was borrowed from Japanese martial arts with the obvious intent of creating the perception of a connection to Japanese culture.
Oct 23 2017
There Is More To Data Than Just Numbers
Don Wheeler’s Understanding Variation starts with a chapter entitled “Data are random and miscellaneous” that contains no discussion of any part of its title. Implicit in Wheeler’s book, however, is the view that data consists of tables of numbers, representing either measured variables — lengths, weights, densities,… — or event occurrence counts — defective units, defects, machine failures,…
Many times, I have quoted computer scientist Don Knuth on this subject, saying that data is “the stuff that’s input or output,” meaning anything that can be read or written, and it includes much more than tables of numbers. The data we work with today includes, for example, the following:
Analyzing data about a manufacturing process today means extracting information from all sources. The state of the art, based on automatic data acquisition and databases includes analytical techniques that were unthinkable in Shewhart’s day, known under the labels of data science, data mining or machine learning.
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By Michel Baudin • Data science • 2 • Tags: data science, Six Sigma, SPC, Text mining