→ 7 QC tools for process improvement are systematic and scientific methods for Problem Solving and they are used for Product and Process Improvement.

→ 7 QC tools is a systematic and scientific method for the

__Problem Solving Technique__.
→ It is used to solve 90% of shop floor problems very easily and it improves our workplace.

#### From Where did the 7 QC Tools come?

→ Primarily Kaoru Ishikawa introduced the 7 QC Tools.

→ Ishikawa has known for the “Democratizing (Visual Aids/Symbols) Statistics”.

→ Good visual aids make statistical and quality control more comprehensive.

→ Dr. Kaoru Ishikawa was a professor at the engineering college at Tokyo University.

#### Why we use The 7 QC Tools for Process Improvement?

→ The 7 QC tools for Process Improvement is a set of graphical techniques identified as being most helpful in troubleshooting issues related to quality.

→ It is a fundamental concept to improve the process and product quality.

→ It is used to examine the production sequence, identify the key issues, control fluctuations of product quality, and give solutions to avoid future defects.

→ This facilitates the organization to resolve the basic problems.

→ These 7 QC tools are easy to understand and implement and they do not need complex analytical/ statistical competence, hence it is simple yet powerful.

#### Benefits:

➝ It encourages the way of problem-solving and improvement.

➝ They are very simple to use but it is very powerful.

➝ It is a scientific approach for problem-solving.

➝ We can get an 80% result by applying 20% of the effort.

➝ Each tool has its own specialty for problem solving and analysis.

➝ It is very easy to understand, communicate and use by the shop floor operator.

## The 7 QC Tools:

- Flow Charts
- Cause and Effect Diagram (Fishbone or Ishikawa)
- Checksheet
- Histogram
- Pareto Chart
- Scatter Diagram
- Control Chart

###
[1] __Flow Charts__:

→“It is a diagrammatic representation that illustrates the sequence of operation to be performed to get the desired result.”

→ It is a visual representation tool for a sequence of operation, therefore, we can easily illustrate the Internal and external operational boundaries.

###
[2] __Cause and Effect Diagram__:

→ “It is a meaningful relationship between an effect and its causes."

→ It guides concrete action and tracks the potential causes during an investigation of the effort to determine whether the item significantly contributes to the problem or not.

###
[3] __Check Sheet__:

→ "Check Sheet is a structured, prepared form for collecting and analyzing data."

→ The purpose of a checklist is to summarize the data and a tally count of event occurrences.

→ A check sheet counts the number of occurrences of an event, such as defects or non-conformance.

→ Hence the Check Sheet is also called a "tally sheet ".

→ In many cases, a checklist will summarize countable data related to certain types of defects and will provide a rough graphical representation of wherein a part of the process, defects occurred.

###
[4] __Histogram__:

→ “Histogram is a type of bar graph representing the frequency distribution of the data from a process.”

→ Karl Pearson introduced Histogram and it is a bar graph representing the frequency distribution on its every bar.

→ The histogram is the best Frequency distribution tool.

→ A histogram is a pictorial representation of a set of data.

#### ➨ Types of Histogram:

→ Normal Distribution

→ Skewed Distribution

→ Double-Peaked or Bimodal

→ Multipeaked or Multimodal

→ Edge Peaked Histogram

→ Truncated or Heart cut Histogram

###
[5] __Pareto Chart__:

→ "It is a bar graph arranged in descending order of height from left to right”

→ It is a graph that shows the order of the largest number of occurrences by item or by classes and the cumulative sum total.

→ It communicates the principle of 80:20.

→ The Pareto Principle gives us information about Vital few from Trivial many, Hence, It is "Vital few from Trivial many".

→ It states that 80% of an effect comes from 20% of the causes.

###
[6] __Scatter Diagram__:

→ “Scatter Diagram is used to study and identify the possible relationship between two variables”.

→ It is the best validation tool.

#### ➨ Different names of the Scatter Diagram:

→ Scatter Plot

→ Scatter Graph

→ Correlation Graph

→ Scatter Gram

#### ➨ Different correlation between two variables in the Scatter Plot:

→ Strong Positive

→ Moderate Positive correlation

→ Weak Positive correlation

→ Strong Negative correlation

→ Moderate Negative correlation

→ Weak Negative correlation

→ Random Pattern (No correlation)

###
[7] __Control Chart__:

→ “It is used for studying the process variation over time."

→ It is a plot of a process characteristic, usually through time with statistically determined limits.

→ When used for monitoring, it helps the user to determine the appropriate type of action to take on the process depending on a degree of variation.

→ Comparing above all tool this is the best forecasting tool.

ðŸ‘‰ Also Read:

2.

__Cause & Effect Diagram__(Fishbone or Ishikawa)
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## 2 Comments

very good presentation skill and to the point explaination

ReplyDeleteHow to download???

ReplyDelete