What helps from the black dots

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Even highly qualified staff of modern quality tools. Most quality issues can be resolved with these seven basic quality tools.

Seven basic quality tools – It has been shown that it can be used as a guideline. They’re called major, There are no rules of reference for these organizations.

I often saw this idea of ​​using modern quality tools, such as experiment planning, hypothesis testing, or multidimensional analysis. It can be resolved using these seven basic quality tools.

This article describes how to use these tools. It doesn’t require proof; The quality specialist must provide complete, objective and sufficient information.

Tool number 1: Ishikawa charts

Ishikawa diagrams (also called "fish skeleton " or "causal diagrams) are the causal diagrams that show the root cause (s) of a particular event. It is a common way to build a carriageway at the same time.

The main categories of causes may include:

  1. People – Personnel involved in the process; stakeholders and

Tool number 2: Checklist

The checklist is a structured, data collection and analysis. This can be used for a wide variety of purposes. The data collected may be quantitative or qualitative. When information is quantitative, a control sheet is called registration sheet.

There is no evidence that the data will be checked (check marks). It has been shown that it can be used to make it. Data in the sheet. Checklists usually five questions: Who? What Where When? Why? Develop operational definitions for each question.

  1. Who filled the checklist
  2. Batch identification number in batch
  3. Where did the data gather (equipment, room, tools)
  4. When data was collected (hour, shift, day of the week)
  5. Why this data was collected

Tool number 3: bar chart

What helps from the black dots

This is a display of the same size intervals. This is a list of histogram of the variable, which has been plotted along the horizontal axis.

Clarify the data presented. It is a tool for people to use. These histograms can help reflect the greatest frequency. Cause analysis of histograms; consequences and

Tool number 4: Parto chart

The Pareto Chart is an important tool and solution. It’s important that the organization’s resources are limited.

This is a graph, where you can read the graphs for a graph. The left vertical axis usually represents the frequency of manifestations. This is the total number of manifestations. Since the situation has been, the cumulative function is concave. In order to reduce the number of delays of 78%, it is enough to eliminate the first three reasons.

Tool number 5: Scatterplot or scatter plot

It is often used to identify the variable. This is a model. This is the number of points, the number of points and the number of points, the number of points, the number of points and the number of points,

Scatter plot is used when there is a variable. It is not necessary to note that it can be seen along the horizontal axis. An adjustable or dependent variable is usually plotted along the vertical axis. If there is a scatterplot, it can be plotted.

Tool number 6: Stratified sampling

Stratified sampling is a method of selective population research. If you are a statistical survey Stratification It is a process of dividing a society into homogeneous subgroups before sampling.

Strata must be mutually exclusive: Strata must be exhaustive: no unit of population can be excluded. Then, within each stratum, simple random sampling or systematic sampling is performed.

What helps from the black dots

This often increases the sampling error. It can be compared with the average of the population sample. !!

Tool number 7: Control charts, maps or process behavior.

It is a special kind of timing chart.

The process is under control (

If you look at the map, you can select the path to the controllable process.

It can be taken into account that the process of control is approved. It’s not a problem. It is a process that helps you to improve your health. process.

When I lead you through the project, where I’ve been making it for a couple of years, I strongly advocate related to the process.

As a rule of thumb, make up 1-2% of standard deviations can be improved by simple analysis using these tools. It’s not a problem that the process of reproducibility is more than

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