The document discusses various quality control tools used to identify issues, analyze causes, and monitor processes. It provides descriptions and examples of seven key QC tools: Pareto diagram, cause-and-effect diagram, histogram, scatter diagram, check sheet, control chart, and graph/flow chart. These tools can help objectively assess situations, identify problem areas, determine relationships between factors, and maintain process stability. The document emphasizes that collecting data and practicing the use of these tools is important for effectively solving problems and improving processes.
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control which employs statistical methods to monitor and
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10. QC tools (7 QC Tools, New 7 QC Tools) used in solving
(or improving) various types of problems that occur
in workshops.
Whether in identifying causes of problems or in
working out their countermeasures, effective use of
QC techniques can produce good results quickly
and efficiently.
It is important to get used to the use of
7 QC Tools. You are encouraged to
collect actual data and practice using
them.
QC tools
11. Benefits of using QC tools
1. The situation can be grasped correctly, rather than
based on experience or intuition
2. Objective judgment can be made
3. The overall picture can be grasped
4. Problem points and shortcomings become clear so
that action can be taken
5. Problems can be shared
12. Seven QC Tools
Pareto Diagram To identify the current status and issues
Cause and Effect Diagram To identify the cause and effect relationship
Histogram To see the distribution of data
Scatter Diagram To identify the relationship between two things
Check Sheet To record data collection
Control Chart To find variance and identify the current status
Graph / Flow Charts To find variance and identify the current status
13. A check sheet is “a sheet designed in advance
to allow easy collection and aggregation of
data.” By just entering check marks on a check
sheet, data can be collected to extract
necessary information, or a through inspection
can be performed in an efficient manner,
eliminating a possibility of skipping any of the
required inspection items.
A check sheet is also effective in performing
stratification (categorization).
Check Sheet
14. A check sheet used to identify defects
Date
Vertical
Scratch
Scratch
Dent
6/10 6/126/11 6/13 6/14 Total
34
11
37
Example Usage of Check Sheet
Defect
15. A Pareto diagram is a combination of bar and line graphs of
accumulated data, where data associated with a problem (e.g.,
a defect found, mechanical failure, or a
complaint from a customer) are divided
into smaller groups by cause or by
phenomenon and sorted, for example,
by the number of occurrences or the
amount of money involved. (The name
“Pareto” came from an Italian
mathematician who created the diagram.)
Pareto Diagram
0
40
80
120
160
(件)
0
50
100
(%)
A B C D E
n=160
16. When is it used and what results will be obtained?
Which is the most serious problem among many problems? It is mainly
used to prioritize action.
Usage Results
•Used to identify a problem.
•Used to identify the cause of a
problem.
•Used to review the effects of an
action to be taken.
•Used to prioritize actions.
[Used during phases to monitor
the situation, analyze causes, and
review effectiveness of an action.]
•Allows clarification of
important tasks.
•Allows identification of a
starting point (which task
to start with).
•Allows projection of the
effects of a measure to be
taken.
17. A cause and effect diagram is “a fish-bone diagram that
presents a systematic representation of the
relationship between the effect (result) and affecting
factors (causes).
Solving a problem in a scientific manner requires
clarification of a cause and effect relationship, where
the effect (e.g., the result of work) varies according to
factors (e.g., facilities and machines used, method of
work, workers, and materials and parts used). To
obtain a good work result, we must identify the effects
of various factors and develop measures to improve the
result accordingly.
Cause and Effect Diagram
18. factors (causes)
big bone
small bone
medium
bone
mini bone
characteristics
(result)
Name of big bone factor
back bone
Cause and Effect Diagram
19. Yaxis(no.ofoccurrences)
specification range
range of variation
Histogram
Articles produced with the
same conditions may vary in
terms of quality
characteristics.
A histogram is used to judge
whether such variations are
normal or abnormal. First,
the range of data variations
are divided into several
sections with a given interval,
and the number of data in
each section is counted to
produce a frequency table.
Graphical representation of
this table is a histogram.
X axis
(measured values)
21. Histogram--Example No.2
(Frequency Distribution Table Cutting Length of Steel Wire)
(Standard: 255±5cm)
№ Section
Central Valee of
Each Section Frequency Marking No. of Occurrences
1 250.5-251.5 251 1
2 251.5-252.5 252 3
3 252.5-253.5 253 15
4 253.5-254.5 254 19
5 254.5-255.5 255 24
6 255.5-256.5 256 14
7 256.5-257.5 257 12
8 257.5-258.5 258 7
9 258.5-259.5 259 3
10 259.5-260.5 260 2
100Total
22. 0
5
10
15
20
25
250 252 254 256 258 260
X
Standard
Lower Limit
Standard
Upper Limit
N=100
[Histogram of Cutting Length of Steel Wire]
Standard Central
=255.19
Products
Standard Value
Histogram--Example No.3
23. A histogram is mainly used to analyze a process by
examining the location of the mean value in the graph or
degree of variations, to find a problem point that needs to
be improved. Its other applications are listed in the table
below. Usage Results
[Used during phases to monitor the
situation, analyze causes, and review
effectiveness of an action.]
Used to assess the actual conditions.
Used to analyze a process to identify a
problem point that needs to be improved
by finding the location of the mean value
or degree of variations in the graph.
Used to examine that the target quality is
maintained throughout the process.
Can identify the location of the
mean (central) value or degree of
variations.
Can find out the scope of a defect by
inserting standard values.
Can identify the condition of
distribution (e.g., whether there is an
isolated, extreme value).
When is it used and what results will be
obtained?
24. A scatter diagram is used to
“examine the relationship
between the two, paired,
interrelated data types, ” such
as “height and weight of a
person.”
A scatter diagram provides a
means to find whether or not
these two data types are
interrelated. It is also used to
determine how closely they
are related to identify a
problem point that should be
controlled or improved. Number of Rotations
Abrasion
.
..
.
.
.
.
.
.
.
.
.
.
.
.
. .
.
.
..
.
.
.
.
.
.
. .
.
.
..
.
.
.
regression line
Scatter Diagram
25. Where there is a positive
correlation
Where there is a negative
correlation
Where there is no
correlation
Where there is a non-linear
correlation
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Various Forms of Scatter Diagram
The table below shows some examples of scatter diagram’s usage. If, for example, there
is a relationship where “an increase in the number of rotations (x) causes an increase in
abrasion (y),” there exists “positive correlation.” If, on the other hand, the existence of a
relationship where “an increase in the number of rotations (x) causes a decline in abrasion
(y)” indicates that there is “negative correlation.”
・
26. Control Chart
●
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X - R Control Chart
X
R
A control chart is used to examine a
process to see if it is stable or to maintain
the stability of a process. This method is
often used to analyze a process. To do so, a
chart is created from data collected for a
certain period of time, and dots plotted on
the chart are examined to see how they are
distributed or if they are within the
established control limit. After some
actions are taken to control and
standardize various factors, this method is
also used to examine if a process has
stabilized by these actions, and if so, to
keep the process stabilized.
27. ●
●
● ●
● ● ● ● ●
● ● ● ●
● ● ● ● ●
● ● ●
●
×
× × × ×
×
× × × × ×
× × ×
× × × × ×
× × ×
0
0.5
1.0
5.8
5.4
5.2
0 5 10 15 20
UCL=5.780
CL=5.400
LCL=5.020
N=5
X
R
Major Application
Out of specification:
It is necessary to investigate the cause
X-R Control Chart
28. A graph is “a graphical representation of data, which
allows a person to understand the meaning of these
data at a glance.”
Unprocessed data simply represent a list of numbers,
and finding certain tendencies or magnitude of
situation from these numbers is difficult, sometimes
resulting in an interpretational error.
A graph is a effective means to monitor or judge the
situation, allowing quick and precise understanding of
the current or actual situation.
A graph is a visual and summarized representation of
data that need to be quickly and precisely conveyed to
others.
Graph
29. When is it used and what results will be obtained?
A graph, although it is listed as one of the QC tools, is commonly
used in our daily life and is the most familiar means of assessing a
situation.
Usage Usage Results
Used to observe changes
in a time-sequential
order (line graph)
Used to compare size
(bar graph)
Used to observe Ratios
( pie graph, column
graph)
A graphs is the most
frequently used tool
among QC 7 tools.
Can recognize changes
in a time-sequential
order, ratios, and size.