What are the seven tools of QC?

QC seven tools: 1. Checklist; it is a form used to facilitate the collection of data, filled in with simple marks and statistically organized for further analysis or for verification and inspection. 2. Plato; It is based on the collected data, calculates the proportion of each category item, arranges it in order of size, and adds a graph of cumulative value. 3. Fishbone diagram, also called cause-and-effect diagram, is designed to facilitate analysis of causes. 4. Histograms can be used in conjunction with control charts or to set specification limits. 5. Control chart is a graphic record of quality. 6. Walking picture. 7. Layer classification method.

The operating environment of this tutorial: Windows 7 system, Dell G3 computer.

In the quality management module, we often use some tools to analyze and solve problems. What are the commonly used tools? This article will introduce the seven major tools of QC. If they are all used well, then regular quality problems in the factory should not be a problem.

1. Checklist

The focus is on inspection. It is a form used to facilitate the collection of data, filled in with simple marks and statistically organized for further analysis or for verification and inspection. For example, our commonly used quality problem checklist, 5S point inspection form, and equipment point inspection form are all very simple and practical.

2. Plato

This is what we often call the 2:8 principle, which is intended to facilitate goal setting. It is based on the collected data and classifies the causes of defects, defective conditions, defective items, locations of defective occurrences, types of customer complaints, or safety incidents, etc., calculates the proportion of each category of items, and arranges them in order of size, and then adds Graph of accumulated values.

3. Fishbone diagram

is also called a cause-and-effect diagram, which is designed to facilitate us to analyze the causes. It organizes many factors that affect product quality characteristics (usually people, machines, materials, methods, environment, and testing) into a fish-shaped diagram according to specified requirements, and identifies the graphics formed by the main factors, which is the characteristics. Main reason picture.

4. Histogram

can be used in conjunction with control charts or to set specification limits. It is a graph that divides the entire range of collected measured values ​​or data into several equal intervals as the horizontal axis, and accumulates the number of occurrences of measured values ​​in each interval. It is a graph lined up with columns, called a histogram. , also called a histogram.

5. Control chart

The control chart is a graphic record of quality. There is a center line (specification value) and two control limits on the chart. The center line is a specification value, and the two control limits are the ranges within which the quality characteristics of the product are allowed to vary. During the manufacturing process, spot checks are used to plot the sample statistics on a graph to determine whether the quality variation is significant.

6. Walking chart

Its function is to use a non-mathematical way to identify the relationship between the measured value of a certain phenomenon and possible cause factors. It displays two types of data on a coordinate chart to determine whether the two are related. This chart is called a scatter chart, also known as a scatter chart

7. Layer classification method

It is a statistical analysis method that classifies and hierarchies a variety of data according to their common characteristics according to the purpose, so as to facilitate subsequent analysis. The hierarchical method is the most basic concept among all quality control techniques and the most basic management tool among statistical methods. It can summarize messy data into meaningful categories and process things clearly at a glance. This scientific statistical method can make up for the shortcomings of intuitive judgment management.

To summarize, the seven QC tools are basically enough for us to analyze and improve regular quality problems, but to truly do a good job in quality, this must be a systematic project, and we must work hard from the source of quality planning and manufacturing processes.

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