Feb 5 2018
Countries Don’t Have Production Systems, Companies Do
“Companies Everywhere Copied Japanese Manufacturing. Now the Model Is Cracking. Concepts celebrated in business publications worldwide have been tarnished by a string of scandals.
Japan’s reputation for flawless manufacturing quality and efficiency transformed the country’s postwar economy, changed business practices worldwide and spawned a library’s worth of management manuals and business advice books. Now, the model is cracking.
Kobe Steel Ltd., Mitsubishi Materials Corp., and Subaru Corp. have all admitted in recent months to manipulating quality inspections, though all say no safety problems emerged. Takata Corp. declared bankruptcy last year after admitting to supplying more than 50 million defective vehicle airbags in the U.S. Mitsubishi Motors Corp. has admitted covering up vehicle faults and falsifying fuel-economy data.”
Sourced from The Wall Street Journal
Michel Baudin‘s comments: What does the Volkswagen diesel emission scandal say about eyeglass lenses and telescopes made by Zeiss or A320s assembled by Airbus in Hamburg? Nothing. Factories for these companies are all located in the same country but a lapse by one is just that, and the Wall Street Journal did not publish articles suggesting that it made a statement about German industry as a whole. When it comes to Japan, however, this is exactly what they are doing with this article, assuming there is such a thing as “Japanese manufacturing,” which is blemished by the misbehavior of any Japanese company.
In a 
Jun 2 2018
Data Mining/Machine-Learning Tools In Manufacturing
This elaborates on the section on Analyzing The Data of the previous post. For a list of tools used for “data mining” or “machine-learning,” I researched, for each one, who invented it, when it was invented, for what purpose, and what applications it has had in manufacturing, and summarized my findings in the table below.
I am, however, not satisfied with the level of applications I found and would like to crowdsource more. If you have made these or other tools useful in your own manufacturing environment, please share whatever information you can about your applications in the survey that follows.
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By Michel Baudin • Data science • 1 • Tags: Data mining, data science, Machine Learning, Manufacturing