Understanding the Taguchi Loss Function
Photo by Joel Fulgencio on Unsplash
Most quality practitioners are familiar with the Taguchi loss function, which contends that the cost of any deviation from the nominal follows a quadratic model.
Photo by Joel Fulgencio on Unsplash
Most quality practitioners are familiar with the Taguchi loss function, which contends that the cost of any deviation from the nominal follows a quadratic model.
The objective of all improvement projects should be to improve the overall process. Everything else should be secondary to this objective.
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Recently, I wrote about the process capability index and tolerance interval.
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The four common capability and performance indexes collectively contain all of the summary information about process predictability, process conformity, and process aim that can be expressed numerically.
The flexibility of an XmR chart makes it the Swiss army knife of process behavior charts. Photo by Denise Jans on Unsplash
In May 1924, Walter Shewhart wrote a memo that contained the first example of a process behavior chart (i.e., a “control chart”). It was a chart for individual values that would be known today as a p-chart.
May 16, 2024, marks the 100th anniversary of Walter A. Shewhart’s wonderful discovery.
Walter A. Shewhart is lauded as the Father of Statistical Process Control (SPC) and is perhaps best remembered for the SPC control chart.
One hundred years ago this month, Walter Shewhart wrote a memo that contained the first process behavior chart. In recognition of this centennial, this column reviews four different applications of the techniques that grew out of that memo.
Control charts help to understand a process’s “personality,” know which questions to ask, when to intervene, and when to leave a process alone. Photo by Erik Kroon on Unsplash.
In less than two months we will celebrate the 100th anniversary of the invention of the control chart, a tool most often associated with statistical process control (SPC). Considering SPC from our modern perspective made us ask, “Is SPC still relevant?”
Photo by Naser Tamimi on Unsplash.
When presented with a collection of data from operations or production, many will start their analysis by computing descriptive statistics and fitting a probability model to the data. But before you do this, there’s an easy test that you need to perform.
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Over the past two months we’ve considered the properties of lognormal and gamma probability models. Both of these families contain the normal distribution as a limit.
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