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Creating control charts using JMP (in Japanese)

JMP has had robust control chart creation capabilities since previous versions, and these features have been further expanded in recent updates.

This video series will cover the basic operations for creating control charts in JMP, as well as the characteristics and creation methods of control charts for measured values and control charts for count values.

You can try out the operations shown in this video using JMP sample data.

Sample data can be found by selecting [Help] > [Sample Index] from the JMP menu bar and searching for the sample data name.

*This video uses the latest version available at the time of creation (JMP 18.0.1).

Part 1. Basic operations for creating control charts in JMP

Section 1. Two ways to create control charts in JMP (8 minutes 46 seconds)

There are two ways to create control charts in JMP:

Use the "Control Chart Builder"
Select the control chart to create from the menu.

I will now explain the operation methods and features of these two methods.

Section 2. Control Chart Testing and Option Settings (10 minutes 25 seconds)

This document explains how to apply rules to detect specific trends in control charts using WER (Western Electric Rule), and describes the settings for the following control charts.

Creating XBar-S control charts
Display limit values on the control chart.
Save summary
Setting management limits (right-click, column properties)

Part 2. Control charts for measured values (11 minutes 56 seconds)

This section explains the control charts used for continuous data (quantitative data).

IMR (Individual Measurement Range) Control Chart
Control chart using the Levey-Jennings method (control limits are calculated using the standard deviation σ).
Run Chart
Three-way control chart (a control chart that considers intragroup and intergroup variability)

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Part 3. Control charts for count values (16 minutes 25 seconds)

The following control charts used for discrete data (count data) are explained. Control charts for count data are mainly used for data such as the number of defective products and their frequency.

Part 4. CUSUM (Cumulative Sum) Control Chart, EWMA Control Chart (10 minutes 24 seconds)

CUSUM and EWMA control charts are control charts used to detect small shifts in a process. They are effective for early detection of process anomalies and can sometimes detect shifts that cannot be detected by Xbar or IMR control charts.

CUSUM (Cumulative Sum) Control Chart : A control chart that plots the cumulative sum of the deviations of the subgroup mean from the target value.

EWMA control chart : A control chart of an exponentially weighted moving average (using a moving average that gives weight to the most recent observation).

Part 5. Model-based multivariate control charts (7 minutes 37 seconds)

Multivariate control charts allow you to monitor multiple process parameters simultaneously. In JMP, you can create control charts based on principal component analysis models or PLS regression models using the "Model-Based Multivariate Control Charts" platform. This platform also allows you to interactively explore factors that cause the system to fall outside the control limits.

References and Supplementary Items

In relation to the control charts for measurement values in Part 2, JMP 18 adds a new control chart called the "Short-Term Operation Control Chart," which is effective for process control when producing multiple products with the same equipment. Please refer to the video below for details.

"JMP 18" New Features Useful for Business Operations ~Analysis and Graphs (Japanese)~ - JMP User Community

For details on testing in control charts (Western Electric Rule), please refer to the relevant section in the following manual.