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how to create a check sheet

by:QY Precision      2019-10-15
What is Check Sheets?
A checklist is a data collection form used to record the occurrence of defects.
The checklist allows you to collect attribute data and convert qualitative data such as observations of component corruption to quantitative data.
Qualitative data in the checklist can be counted to create quantitative data and information for Six Sigma projects.
The data in the checklist can be used to create control charts.
At the end of this article, the process of converting checklist data to control charts is discussed.
What do you need to know to create a checklist?
You need to answer a few questions before creating a checklist.
What attributes will you track?
Will you record the defect, damage, flaw or discoloration?
What is the definition of each defect you will track?
What constitutes a flaw?
What do you think is a defect?
When can the color change be recorded on your check?
Who is responsible for collecting this data?
Will quality control personnel capture the data of the checklist by visual inspection, or will the operator generate the data when the project falls off the assembly line?
How to collect data?
Will you use an automatic camera or watch manually?
What is the time interval for each checklist?
Will you fill in the check form every shift, every day or every week?
If the data is not captured electronically, who is responsible for completing the collection checklist?
Where will the checklist for inventory, analysis and storage be kept?
What does the checklist need to include?
The checklist must include the following information. 1.
Place the project name or product name prominently on the checklist.
This information ensures that only the checklist for the correct item is filled in. 2.
Ask the data collector to list where the collected data is.
This may include the production line number, building, work place or CNC machine. 3.
Includes a field to capture the identity of the person who recorded the data.
This information allows high-quality employees to look for patterns based on incomplete data collected by responsible operators, specific individuals or employees who are better at capturing defects than others. 4.
The checklist requires a header column that gives the name of the record defect and the total column of all observations of the defect during data collection. 5.
Include on the checklist columns that allow you to enter information by data collection interval.
How to Create Control charts from check in table data you can create control charts or run charts from check in table data.
Using a control chart based on Checklist data, enterprises can correctly measure the incidence of defects or defects and track their quality trends.
The following are the steps to convert the qualitative data in the checklist to the statistical quantitative data of the control chart.
The center line of the control chart will be the average value of the defect being tracked.
This centerline can be the average number of defects per lot or the average number of defects per day.
It can be based on the average number of defects per unit.
The fraction of the defective product is used as a central trend when the batch changes.
If a batch has 3 defects in 12 products, the defect part is 0. 25.
When another batch is produced, there are 3 defective units in 10 batches, which have 30% or 0. 30 defective.
Find the variance of the data set.
The square root of the variance is the standard deviation.
The control limit will be 3 times the average positive and negative of the standard deviation.
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