7 QC Tools PPT: Definition, Benefits and Tools

7 QC Tools PPT: Definition, Benefits and Tools

What are 7 Qc Tools

If there is a quality problem to be solved and one needs process improvement then simple statistical and graphical tools are used, these are called 7 QC tools. These tools are so powerful that any kind of complex problem can be solved by them without any skills and complex expertise.

Quality control and quality assurance engineers use these tools to remove unnecessary activities like product repair and rejection by solving product and process related issues.

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These 7 QC tools were introduced by Kaoru Ishikawa in Japan who got inspiration from the 7 famous weapons of Benkei.

Benefits of 7 QC Tools

There are many benefits of using 7 QC tools to solve complex and typical problems. These benefits are listed below.

  1. To solve complex problems effectively.
  2. To improve customer satisfaction.
  3. Cost cutting due to poor product quality.
  4. To enhance process and product quality.
  5. Helps in finding the real reason behind the problem for taking productive countersteps.
  6. Improvement in employee’s skills and problem solving ability.

List 7 QC TOOLS?

Let’s discuss 7 QC tools in details

Check list: As data collection is a crucial activity in solving any problem as it gives a basis for the further action. So check list is used for recording, collecting, and analyzing the data.

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Cause and Effect Diagram: Cause and effect diagram is  also called as Fishbone diagram and it is used to find out the cause (factors) which provides the effects (problem).

Histogram: Histogram comes into action when quality professionals analysis and interpret the behavior of data to manage quality.

Pareto Chart: To narrow down a problem, Pareto chart is used. These are kind of bar charts that represents category of interest.

Control Chart: Control chart is also named as Shewhart chart or SPC chart. It uses a central line illustrate and average or mean.

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Scatter Diagram: Scatter Diagram is used to plot a relationship between two characteristics. It is also known as scatter plot or correlation chart.

Stratification Diagram: To divide homogenous groups into universe of data, Stratification diagram is used.

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