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A History of the Chart for Individual Values

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The flexibility of an XmR chart makes it the Swiss army knife of process behavior charts. Photo by Denise Jans on Unsplash

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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.

Shewhart’s Great Discovery

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May 16, 2024, marks the 100th anniversary of Walter A. Shewhart’s wonderful discovery.

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Walter A. Shewhart is lauded as the Father of Statistical Process Control (SPC) and is perhaps best remembered for the SPC control chart.

One Technique, Many Uses

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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.

Is Statistical Process Control Still Relevant?

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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.

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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?”

The Test to Use Before All Other Tests

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Photo by Naser Tamimi on Unsplash.

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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.

What You Need to Know About Weibull Distributions

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Photo by Carlos Andres Gomez on Unsplash

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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.

What You Need to Know About Gamma Probability Models

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Photo by Scott Graham on Unsplash

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Clear thinking and simplicity of analysis require concise, clear, and correct notions about probability models and how to use them.

SPC Outside of Manufacturing

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So far in this series our focus has remained on statistical process control (SPC) in manufacturing.

What You Need to Know About Lognormal Models

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Photo by Marcel Ardivan on Unsplash

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When do we need to fit a lognormal distribution to our skewed histograms? This article considers the basic properties of the lognormal family of distributions and reveals some interesting and time-saving characteristics that are useful when analyzing data.

What Can Your Process Achieve?

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You are assigned a new task to demonstrate that an existing process will have the capability to meet newer and tighter specifications.

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