Perform SPC Analysis

This topic introduces how to use the SPC Overview and SPC Analysis features in Mech-Metrics.

SPC

SPC stands for Statistical Process Control, which refers to the use of statistical methods to monitor each stage of the production process in order to ensure and improve product quality.

Before using the SPC Overview and SPC Analysis features, please complete the following actions:

  1. In the upper-part ribbon, select Analysis and Compensation  Historical Data.

  2. In the Data filtering tab, complete data filtering and select measurement records. For details, refer to Filter and View Historical Data.

SPC Overview

Click the SPC overview tab at the top to view the SPC statistics of each feature.

spc overview

The following summary information is displayed at the top of the SPC Overview page:

  • Number of passes: The number of features that meet the specifications.

  • Pass rate: The percentage of qualified features relative to the total number of features.

  • Number of defects: The number of features that do not meet the specifications.

  • Defect rate: The percentage of non-conforming features in the total number of features.

The data tables of the SPC Overview show the following statistics for each measurement item:

Column name Description

Item

Feature name (such as Y4 reference, Y2 reference, measurement point A1, etc.).

Sub-item

The name of the measurement sub-item (such as X, Y, Z, Radius, etc.).

Quantity

The number of samples for this measurement item.

Average

The average value of this measurement item.

Pp

Process Performance Index, used to evaluate whether the process performance meets specifications.

Ppk

Central Performance Index, which takes into account the deviation of the process mean based on Pp.

Range

The extreme difference (difference between the maximum and minimum values) of data.

3 times the standard deviation.

Max

The maximum measured value of this measurement item.

Min

The minimum measured value of this measurement item.

Passes

The number of qualified samples for this measurement item.

Pass rate

The pass percentage of this measurement item.

Defects

The number of unqualified samples for this measurement item.

Defect rate

The defect percentage of this measurement item.

Click the Export button in the upper right corner to export the overview data of the SPC.

SPC Analysis

Click the SPC analysis tab at the top of the page. The SPC analysis page displays the sampling tool, measurement item list, and sampling result table.

spc analysis

Perform SPC Analysis

Follow these steps to perform SPC analysis:

  1. In the Sampling tool area, set the following parameters according to needs:

    • Sampling mode: Select the sampling mode. You can choose Fixed-interval sampling, Continuous sampling, or Continuous sampling by date.

    • Subgroup size: Set the number of samples in each subgroup.

    • Sampling frequency: Set the sampling interval.

    • Subgroup quantity: Set the number of subgroups.

    • First sampled record: Set the ID of the starting sample.

  2. In the Measurement item list on the left of the page, select the measurement item to be analyzed. The list displays all the available measurement items for the current part (such as Y4 reference, Y2 reference, Y1 reference, measurement points A1 to A5, etc.). Under each measurement item, you can expand and select specific measurement sub-items (such as X, Y, Z, Radius).

  3. The Sampling result table on the right of the page displays the sample data of the selected measurement item, including the Subgroup ID of each subgroup and the corresponding measured values, as well as the following statistics:

    • ΣX: The sum of the data in each column.

    • : The average of the data in each column.

    • R: The difference between the maximum and minimum values of each column of data.

  4. Click the Analyze button at the bottom of the page to perform SPC analysis. After the analysis is completed, the page will display the results.

    analysis result
    • To reset the parameter settings of the sampling tool, click Reset.

    • If analysis cannot be performed, troubleshoot the issue based on the error message provided by the software.

    • To return to the Sampling Settings page, click Back in the upper left corner.

Analysis Result

The Analysis result page contains the following sections:

No. Area Description

Indicator Bar

Displays key SPC indicators such as USL, CL, LSL, Cp, Cpk, Pp, and Ppk.

Control Limit Table

Displays the control limit data corresponding to X̄ (average) and R (range).

X-bar Chart

A control chart with the Subgroup ID as the horizontal axis and the sample mean as the vertical axis, used to monitor the change trend of the process average.

R Chart

A control chart with the Subgroup ID as the horizontal axis and the range ® as the vertical axis, used to monitor the variation trend of process variation.

Statistics

Displays the statistics of the current measurement item, including Total Observations, Max, Min, Ranges, and Range width.

Capability Analysis Chart

Displays the frequency distribution of measurement data in a bar chart, with a superimposed normal distribution curve to visualize the data distribution and process capability.

Indicator Bar

The top of the page displays the key SPC indicators of the current measurement item.

analysis result indicator bar
Indicator Description

USL

The Upper Specification Limit is the nominal value plus the upper tolerance.

CL

Center line, which is the average of the data.

LSL

The Lower Specification Limit is the lower limit of a dimension, which is the nominal value plus the lower tolerance.

Cp

The Process Capability Index is used to evaluate whether the capabilities of a process meet the requirements. In this example, σ represents the overall standard deviation.
cp

Cpk

Process Capability Index, which takes into account the deviation of the process average based on Cp. In this example, x̄ represents the overall average, and σ represents the overall standard deviation.
cpk

Pp

The Process Performance Index is used to assess whether the performance of a process meets specification requirements. In this example, s represents the standard deviation of the sample.
pp

Ppk

Process Performance Index, which takes into account the deviation of the process average based on Pp. In this example, x̄ represents the average value of the sample, and s represents the standard deviation of the sample.
ppk

Control Limit Table

Displays the control limit data corresponding to X̄ (average) and R (range).

analysis result control limit table
Column name Description

Average

The average of X̄ or R.

Control limit

Control limits.

Upper Control Limit/UCL

Upper Control Limit, which is the average value plus the value of 3σ.

Centerline/CL

Center Line, which is the average.

Lower Control Limit/LCL

Lower Control Limit, which is the average value minus the value of 3σ.

X-bar Chart

A control chart with the Subgroup ID as the horizontal axis and the sample mean as the vertical axis, used to monitor the change trend of the process average.

analysis result x chart

The figure contains the following reference lines:

  • CL (yellow line): the center line, which is the average.

  • UCL & LCL (red line): Upper and Lower control limits.

  • USL & LSL (blue line): Upper and lower specification limits.

R Chart

A control chart with the Subgroup ID as the horizontal axis and the range ® as the vertical axis, used to monitor the variation trend of process variation.

analysis result r chart

The figure contains the following reference lines:

  • CL (yellow line): center line.

  • UCL & LCL (red line): Upper and Lower control limits.

Statistics

The statistics of the current measurement item are displayed in the upper right corner of the page.

analysis result statistics
Parameter Description

Total Observations

The total number of samples involved in the analysis.

Max

The maximum measured value of all samples.

Min

The minimum measured value of all samples.

Ranges

The number of ranges in the capability analysis chart.

Range width

The width of each range.

Capability Analysis Chart

The frequency distribution of the measurement data is displayed in a bar chart in the lower-right corner of the page, with a superimposed normal distribution curve, intuitively reflecting the data distribution and process capability.

analysis result capability chart
  • Blue bar (Frequency): displays the number of samples within each measurement range.

  • Red curve (Distribution): A fitted curve that shows the normal distribution of the data.

Export Analysis Report

After the analysis, click Back in the upper left corner to return to the Sampling Settings page, and then click the export buttons in the upper right corner to export the analysis report:

  • Export current: Export the analysis report for the current selected measurement item.

  • Export all: Export the analysis report for all measurement items.

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