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Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 3, May-Jun 2013, pp.832-837
832 | P a g e
Quality improvement in manufacturing processes using SQC tools
Samadhan D. Bhosale1
, S.C.Shilwant2
, S.R. Patil3
1
PG Student (Department of Mechanical Engineering), Sinhgad Academy of Engineering,
Pune University, India.
2
Professor, (Department of Mechanical Engineering), Sinhgad Academy of Engineering,
Pune University, India.
3
Assistant Professor, (Department of Mechanical Engineering), Sinhgad Academy of Engineering,
Pune University, India.
ABSTRACT
The aim of this paper is to apply the
quality tools to find out the root causes of the
quality problems related to manufacturing of
mechanical seal. The modes of defects on
production line are investigated through direct
observation on the production line and statistical
tools like Check sheets, Histogram, Pareto
analysis, Cause and Effect diagram etc are used
in enhancing the process by continuous
monitoring through inspection of the samples.
The work shows utility of quality tools to find the
root causes of the problems and eliminate them.
A case study has been carried out in ‘EKK Eagle
Products India Pvt. Ltd’ company that
specializes in manufacturing of mechanical seal.
Keywords- Control Charts, Cause and effect
diagram, Histogram, Pareto Analysis, Mechanical
Seal, Statistical Quality control.
1. INTRODUCTION
Quality concepts have changed over time.
Quality of product means the product must be
within the acceptable limits. Edwards Deming,
explained chain reaction in his book "out of the
crisis" published in 1986. The benefits from quality
and process improvements to organization are:
a. Improved Quality
b. Less rework, fewer mistakes and hence
cost decreased
c. Capture the market with better quality and
lower price
d. Improved Business
e. Improved productivity [1]
The most common process of continuous
improvement is the PDCA Cycle shown in “Fig.1”
which was first developed by Walter Shewhart in
the 1920s and promoted by quality preceptors Dr
Edwards Deming. PDCA-cycle consists of four
consecutive steps, as follows:
• Plan – Perception for improvement
• Do – Implementation of the changes that is
decided in the Plan.
• Check – a) Control and measurement of processes
and products in accordance with changes in previous
steps
b) Policy, goals and requirements
c) Report on results
d) Decision making
• Act – a) Adoption of the changes or run through
PDCA-cycle again
b) Repetition of cycle for continuous improvement.
Figure 1. PDCA cycle
PDCA-cycle is required in process
improvement. When the process improvement starts
with careful planning results in corrective and
preventive actions supported by appropriate quality
assurance tools. Application of seven basic quality
tools in correlation with four steps of PDCA-cycle is
shown in Table 1. [2]
As shown in Table 1, for problem
identification Flow chart, Cause-and-Effect
diagram, Check sheet, Pareto diagram, Histogram
and Control charts can be used. For problem
analysis Cause-and-Effect diagram, Check sheet,
Pareto diagram, Scatter plot and Control charts tools
can be used. When the team is developing a solution
for analyzed problem Flow chart and Scatter plot
can be useful. For evaluation of results, Check sheet,
Pareto diagram, Histogram, Scatter plot and Control
charts can be used.
Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 3, May-Jun 2013, pp.832-837
833 | P a g e
Table 1. Seven basic quality tools (7QC tools) in
correlation with PDCA-cycle steps
Seven basic
quality tools
(7QC tools)
Steps of PDCA-cycle
Plan
Plan,
Check
Plan, Act Check
Proble
m
identifi
cation
Process
analysis
Solutions
develop
ment
Result
evaluation
Flow chart √ √
Cause-and-
effect
diagram
√ √
Check sheet √ √ √
Pareto
diagram
√ √ √
Histogram √ √
Scatter plot √ √ √
Control
charts
√ √ √
.
Receiving Inspection Stock parts Part Supply Assembly
Final Inspection Packing In-Process Inspection Appearance Check
Figure 2. Process flow chart
A case study has been carried out at EKK
Eagle Products India Pvt. Ltd to monitor the process
of manufacturing mechanical seals. Process flow
chart at EKK Eagle Products India Pvt. Ltd
producing mechanical seals is as shown in “Fig 2.”
The data was collected for improving the quality of
mechanical seals and reducing the defects
2. THE SQC TOOLS
Quality tools can be used in all phases of
production process, from the start of product
development up to product marketing and customer
support. The 7 QC Tools are simple statistical tools
used for problem solving. These tools were
developed by the Quality preceptors such as Deming
and Juran. Ishikawa has stated that these 7 tools can
be used to solve 95 percent of all problems. The
following are the 7 QC Tools:
1) Histogram
2) Check Sheet
3) Pareto Diagram
4) Brainstorming
5) Cause & Effect Diagram
6) Control Charts
7) Scatter Diagram
2.1. Histogram
A histogram is one of the basic quality
tools. It is used to graphically summarize and
display the distribution and variation of a process
data set. A frequency distribution shows how often
each different value in a set of data occurs. The
main purpose of a histogram is to determine the
shape of data set. We can present the same
information in a table; but the graphic presentation
shows relationship. Based on the frequency of
distributed values, one can come to a conclusion
whether the values falls within the specified values
and gives a normal distribution curve out of it. [3]
This can be achieved by Histogram. It is a useful
tool for breaking out process data into regions for
determining frequencies of certain events or
categories of data.
Typical applications of histograms in root cause
analysis include:
1) Presenting data to determine which causes
dominate
2) Understanding the distribution of
occurrences of different problems, causes,
consequences, etc.
Table 2 Shows Seal Ring height data of mechanical
seal. It shows the cell boundaries of Seal Ring
height and frequency of them. “Fig.3” shows
histogram for Seal Ring height data of mechanical
seal
Table 2. Cell boundaries of Seal Ring height data
Class
Cell Boundaries
(mm)
Frequency
1 1.00 1.05 0
2 1.05 1.10 0
3 1.10 1.15 0
4 1.15 1.20 0
5 1.20 1.25 5
6 1.25 1.30 26
7 1.30 1.35 18
8 1.35 1.40 1
Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 3, May-Jun 2013, pp.832-837
834 | P a g e
Figure 3. Histogram of seal ring height data.
2.2. Check Sheet.
Data collection is important because it is
the starting point for statistical analysis. The
function of a check sheet is to present information in
an efficient, graphical format. Check sheets help to
organize data by category. They show frequency of
each particular value and their information. Check
sheets are tools that make the data collection process
easier. Their power is greatly enhanced when they
are used in conjunction with other quality tools such
as histograms and Pareto analysis. The check sheet
shown in Table 3 was created by tallying each type
of mode of defect of mechanical seal during a
specified time. It shows the type of defects and how
many of each type occurred during that period.
2.3. Pareto analysis
It can be described as the 80/20 rule
applied to quality-control. The 80/20 rule was
formalized by economist Pareto after studying the
distribution of wealth. He observed that about 80%
of wealth was held by about 20% of the population.
Joseph Juran applied this principle to quality-
control. Pareto Analysis states that 80% of quality
problems in the end product or service are caused by
20% of the problems in the production or service
processes. In practice it is beneficial to separate “the
vital few” problems from “the trivial many”.
2.3.1 Pareto Chart
A Pareto Chart is simply a frequency
distribution (or Histogram) of attribute data. The
Pareto Chart is named after Italian economist
Pareto; A Pareto Chart is a series of bars whose
heights reflect the frequency or impact of problems.
The bars are arranged in descending order of height
from left to right. This means the categories
represented by the tall bars on the left are relatively
more significant than those on the right. This bar
chart is used to separate the “vital few” from the
“trivial many”. These charts are based on the Pareto
analysis which are useful for the user to focus
attention on a few important factors in a process.
Pareto chart shown in “Fig.4” was
constructed based upon the data collected by check
sheet shown in Table 3 for various modes of defects
with their respective frequency and percentage of
mechanical seal. The figure reveals that the
mechanical seal has vital few modes of defects and
represents around 80 % of total cumulative
percentage of non-conformities.
Figure 4. Pareto chart for mode of defects
Table 3. Check sheet for various modes of defects
with their respective frequency and percentage
2.4 Brainstorming
Brainstorming is a tool used by teams to
bring out the ideas of each individual and present
them in an orderly fashion to the rest of the team.
The key ingredient is to provide an environment free
of criticism for creative and unrestricted exploration
of options or solutions.
Sr.
no
.
Mode of
defect
Produ
ction
volum
e
(No.s)
No. of
defecti
ve
compo
nents
(No.s)
% of
defect
Cumula
tive qty
(No.s)
Cumula
tive %
1
Seal
Ring
pore
93823
528 35.22 528 35.22
2
latex
coating 277 18.48 805 53.70
3
MR
chipping 232 15.48 1037 69.18
4 US leak 225 15.01 1262 84.19
5
Projectio
n 122 8.14 1384 92.32
6
stationar
y leak 48 3.20 1432 95.53
7
Drop
sample 35 2.33 1467 97.86
8 load 7 0.47 1474 98.33
9 other 25 1.67 1499 100.00
Total 93823 1499
100.0
0 1499 100.00
Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 3, May-Jun 2013, pp.832-837
835 | P a g e
Some of the specific benefits of Brainstorming are
that it
1. Encourages creativity. It expands thinking to
include all aspects of a problem or a solution with
wide range of options.
2. Rapidly produces a large number of ideas by
encouraging people to offer creative and justified
ideas.
3. Equalizes involvement by all team members. It
provides a nonjudgmental environment that
encourages everyone to offer ideas. All ideas are
recorded.
The recommended sequence for conducting
Brainstorming and some suggestions for conducting
the session effectively are provided below:
 Review the rules: describe how the session will
be conducted.
 Set a time limit: assign a timekeeper and data
recorder.
 State the topic: Write down and publicize it.
Ensure that everyone understands it.
 Collect everyone’s ideas: After allowing a few
minutes for the participants to think about the
question, ask them to give their ideas.
 Record ideas: Display the ideas where everyone
can see them. Having the words visible to
everyone at the same time avoids
misinterpretation and duplication.
 Clarify each idea: After all ideas have been
presented, to ensure that all members have the
same understanding of it.
 Eliminate duplications: Repeated ideas are to be
eliminated.
2.5 Cause & Effect Diagram
Process improvement involves taking
action on the causes of variation. A team typically
uses Cause-and-Effect (C&E) diagrams to identify
and isolate causes of a problem. The late Dr. Kauro
Ishikawa, Japanese quality expert, developed the
technique and hence it is called as Ishikawa
diagram. [4] The Diagram is a tool to show
systematic relationship between a result or a
symptom or an effect and its possible causes. It is an
effective tool to systematically generate ideas about
causes for problems and to present them in a
structured form.
2.5.1 Structure
The symptom or result or effect for which
one wants to find causes is put in the dark box on
the right. The lighter boxes at the end of the large
bones are main groups in which the ideas are
classified. Usually four to six such groups are
identified.
Figure 5. Cause & effect diagram
In a typical manufacturing problem, the
groups may consist of five Ms - Men, Machines,
Materials, Method and Measurement. The six M
Money may be added if it is relevant. In some cases
Environment is one of the main groups. Important
subgroups in each of these main groups are
represented on the middle bones and these branch
off further into subsidiary causes represented as
small bones. The arrows indicate the direction of the
path from the cause to the effect. [5]
Brainstorming technique is therefore very
useful in identifying maximum number of causes.
The cause & effect diagrams shown in “Fig.5” were
constructed by quality team and through
brainstorming sessions involving all employees
taking part in the related production and test
activities
Cause and effect diagram shown in Figure
5 shows major factors that can cause latex coating
damage of cartridge of mechanical seal. The
diagram was constructed by quality improvement
team through brainstorming sessions involving all
operators taking part in the related production and
test activities.
2.6 Control Chart
Control charts are the one of the most
important and effective statistical tools for
determining the process stability and variability. [4]
These charts contain the upper control limit and
lower control limit .Control charts are statistical
tools used to analyze and understand process
variables, to determine a process’s capability to
perform with respect to those variables and to
Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 3, May-Jun 2013, pp.832-837
836 | P a g e
monitor the effect of those variables on the
difference between customer needs and process
performance.
Every process has variation that can be
classified as the result of either common causes or
special causes. Common causes of variation are
inherent in a process while variation created by
special causes is not normally present in the process.
Control charts are used to identify and distinguish
between those two different causes of variation. One
goal of using a Control Chart is to achieve and
maintain process stability.
We get benefit from using a Control Chart when we
1. Monitor process variation over time.
2. Distinguish between special cause and
common cause variation.
3. Assess the effectiveness of changes to
improve a process.
4. Communicate how a process performed
during a specific period.
“Fig.6” shows X and R chart for Seal ring height of
mechanical seal. The figure illustrates natural
process limits controlled within specification limits
(1.00 to 1.40 mm)
Machine Name Finish Grinding M/c
Operation Seal Ring Grinding
Characteristic Seal Ring Height
Specification/ Tolerance 1.2 ± 0.2
Hour
Sample
X1 1.31 1.32 1.32 1.31 1.32 1.28 1.34 1.35
X2 1.32 1.35 1.34 1.33 1.27 1.30 1.32 1.32
X3 1.30 1.32 1.35 1.32 1.3 1.32 1.34 1.34
X4 1.29 1.31 1.34 1.32 1.28 1.29 1.31 1.30
X5 1.31 1.34 1.33 1.32 1.28 1.3 1.34 1.36
X 1.306 1.328 1.336 1.320 1.290 1.298 1.330 1.334
R 0.03 0.04 0.03 0.02 0.05 0.04 0.03 0.05
X 1.318 UCL X 1.337 LCL X 1.289
1.36
1.34
1.32
1.30
1.28
1.26
1.24
1.22
1.20
1 2 3 4 5 6 7 8
R 0.036 UCL ( R ) 0.0766 LCL ( R ) 0
0.08
0.07
0.06
0.05
0.04
0.03
0.02
0.01
0
1 2 3 4 5 6 7 8
Sub Groups
X & R Control Chart
1 2 3 4 5 6 7 8
Average
Height
Range
Figure 6. Control Chart
2.7 Scatter Diagram
It is also called as scatter plot or X–Y
graph. A scatter diagram is a tool for analyzing
relationships between two variables. One variable is
plotted on the horizontal axis and called independent
variable; the other is plotted on the vertical axis and
called as dependent variable. The pattern of their
intersecting points can graphically show relationship
patterns. Scatter diagrams are used to evaluate cause
and effect relationships. The assumption is that the
independent variable is causing a change in the
dependent variable.
3. RESULTS AND DISCUSSION
Before implementation of SPC tools,
production process at EKK Eagle products India
Pvt. Ltd. was not in normal condition. After the
techniques were built into the process, the
management and operators had understood the cost
wastage due to rejection of work piece.
As seen from these studies, statistical process
control and statistical quality control were effective
in improving a process, irrespective of its
application, and are key success factors to stay in
business and the achievement of customer
satisfaction and business excellence.
1. A histogram is a picture of the data
distribution that includes its spread and shape.
This can provide clues about the variation that
exists in the work performed. Histogram for
Seal Ring height is normal and bell shaped. It
shows Cp is greater than 1.
2. Check sheets help to organize rejection data by
category.
3. Pareto analysis states that 80% of rejection is
due to a) Seal Ring pore
b) Latex coating damage
c) Mating Ring Chip
d) US leak
4. Cause and effect diagram identify and isolate
causes of problems.
5. Using control charts and by making changes in
processes, we can make processes stable.
4. CONCLUSION
It has been shown that with use of basic
quality tools, organization can monitor, control and
improve their processes. The seven basic quality
tools in general have demonstrated a great capacity
in the improvement of manufacturing and service
industries across the world. There are basically five
reasons behind this:
1. They are proven techniques for improving
productivity;
2. They are effective in minimization of defects;
3. They prevent unnecessary process adjustments;
4. They provide diagnostic information;
5. They provide information about process
capability to meet customer requirements.
REFERENCES
[1] Mohamed Aichouni, “On the use of the
basic quality tools for the improvement of
the construction industry: A case study of a
ready mixed concrete production process”,
International Journal of Civil &
Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research
and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 3, May-Jun 2013, pp.832-837
837 | P a g e
Environmental Engineeing IJCEE-IJENS
Vol: 12 No: 05, 2012.
[2] Paliska G, Pavletic D, Sokovic M,
“Application of Quality Engineering tools
in process industry”, Advanced
Engineering, ISSN 1846-5900, 2008.
[3] S Raghuraman, K Thiruppathi, J Praveen
Kumar, B Indhirajith, “Enhancement of
quality of the processes using statistical
tools- A review”, International Journal of
Engineering Science & Advanced
technology, ISSN: 2250-3676, volume-2,
Issue-4,1008-1017,2012.
[4] Rami Hikmat Fouad, Adnan Mukattash,
“Statistical Process control tools: A
Practical guide for Jordanian Industrial
Organizations”, Jordan Journal of
Mechanical and Industrial Engineering,
volume 4, Number 6, 2010.
[5] Kamalesh Panthi, Syed M. Ahmed,
“Application of Quality Tools to Improve
Quality: A case study of a building
Remediation Contractor”, Florida
International University Miami, Florida.

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  • 1. Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 3, May-Jun 2013, pp.832-837 832 | P a g e Quality improvement in manufacturing processes using SQC tools Samadhan D. Bhosale1 , S.C.Shilwant2 , S.R. Patil3 1 PG Student (Department of Mechanical Engineering), Sinhgad Academy of Engineering, Pune University, India. 2 Professor, (Department of Mechanical Engineering), Sinhgad Academy of Engineering, Pune University, India. 3 Assistant Professor, (Department of Mechanical Engineering), Sinhgad Academy of Engineering, Pune University, India. ABSTRACT The aim of this paper is to apply the quality tools to find out the root causes of the quality problems related to manufacturing of mechanical seal. The modes of defects on production line are investigated through direct observation on the production line and statistical tools like Check sheets, Histogram, Pareto analysis, Cause and Effect diagram etc are used in enhancing the process by continuous monitoring through inspection of the samples. The work shows utility of quality tools to find the root causes of the problems and eliminate them. A case study has been carried out in ‘EKK Eagle Products India Pvt. Ltd’ company that specializes in manufacturing of mechanical seal. Keywords- Control Charts, Cause and effect diagram, Histogram, Pareto Analysis, Mechanical Seal, Statistical Quality control. 1. INTRODUCTION Quality concepts have changed over time. Quality of product means the product must be within the acceptable limits. Edwards Deming, explained chain reaction in his book "out of the crisis" published in 1986. The benefits from quality and process improvements to organization are: a. Improved Quality b. Less rework, fewer mistakes and hence cost decreased c. Capture the market with better quality and lower price d. Improved Business e. Improved productivity [1] The most common process of continuous improvement is the PDCA Cycle shown in “Fig.1” which was first developed by Walter Shewhart in the 1920s and promoted by quality preceptors Dr Edwards Deming. PDCA-cycle consists of four consecutive steps, as follows: • Plan – Perception for improvement • Do – Implementation of the changes that is decided in the Plan. • Check – a) Control and measurement of processes and products in accordance with changes in previous steps b) Policy, goals and requirements c) Report on results d) Decision making • Act – a) Adoption of the changes or run through PDCA-cycle again b) Repetition of cycle for continuous improvement. Figure 1. PDCA cycle PDCA-cycle is required in process improvement. When the process improvement starts with careful planning results in corrective and preventive actions supported by appropriate quality assurance tools. Application of seven basic quality tools in correlation with four steps of PDCA-cycle is shown in Table 1. [2] As shown in Table 1, for problem identification Flow chart, Cause-and-Effect diagram, Check sheet, Pareto diagram, Histogram and Control charts can be used. For problem analysis Cause-and-Effect diagram, Check sheet, Pareto diagram, Scatter plot and Control charts tools can be used. When the team is developing a solution for analyzed problem Flow chart and Scatter plot can be useful. For evaluation of results, Check sheet, Pareto diagram, Histogram, Scatter plot and Control charts can be used.
  • 2. Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 3, May-Jun 2013, pp.832-837 833 | P a g e Table 1. Seven basic quality tools (7QC tools) in correlation with PDCA-cycle steps Seven basic quality tools (7QC tools) Steps of PDCA-cycle Plan Plan, Check Plan, Act Check Proble m identifi cation Process analysis Solutions develop ment Result evaluation Flow chart √ √ Cause-and- effect diagram √ √ Check sheet √ √ √ Pareto diagram √ √ √ Histogram √ √ Scatter plot √ √ √ Control charts √ √ √ . Receiving Inspection Stock parts Part Supply Assembly Final Inspection Packing In-Process Inspection Appearance Check Figure 2. Process flow chart A case study has been carried out at EKK Eagle Products India Pvt. Ltd to monitor the process of manufacturing mechanical seals. Process flow chart at EKK Eagle Products India Pvt. Ltd producing mechanical seals is as shown in “Fig 2.” The data was collected for improving the quality of mechanical seals and reducing the defects 2. THE SQC TOOLS Quality tools can be used in all phases of production process, from the start of product development up to product marketing and customer support. The 7 QC Tools are simple statistical tools used for problem solving. These tools were developed by the Quality preceptors such as Deming and Juran. Ishikawa has stated that these 7 tools can be used to solve 95 percent of all problems. The following are the 7 QC Tools: 1) Histogram 2) Check Sheet 3) Pareto Diagram 4) Brainstorming 5) Cause & Effect Diagram 6) Control Charts 7) Scatter Diagram 2.1. Histogram A histogram is one of the basic quality tools. It is used to graphically summarize and display the distribution and variation of a process data set. A frequency distribution shows how often each different value in a set of data occurs. The main purpose of a histogram is to determine the shape of data set. We can present the same information in a table; but the graphic presentation shows relationship. Based on the frequency of distributed values, one can come to a conclusion whether the values falls within the specified values and gives a normal distribution curve out of it. [3] This can be achieved by Histogram. It is a useful tool for breaking out process data into regions for determining frequencies of certain events or categories of data. Typical applications of histograms in root cause analysis include: 1) Presenting data to determine which causes dominate 2) Understanding the distribution of occurrences of different problems, causes, consequences, etc. Table 2 Shows Seal Ring height data of mechanical seal. It shows the cell boundaries of Seal Ring height and frequency of them. “Fig.3” shows histogram for Seal Ring height data of mechanical seal Table 2. Cell boundaries of Seal Ring height data Class Cell Boundaries (mm) Frequency 1 1.00 1.05 0 2 1.05 1.10 0 3 1.10 1.15 0 4 1.15 1.20 0 5 1.20 1.25 5 6 1.25 1.30 26 7 1.30 1.35 18 8 1.35 1.40 1
  • 3. Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 3, May-Jun 2013, pp.832-837 834 | P a g e Figure 3. Histogram of seal ring height data. 2.2. Check Sheet. Data collection is important because it is the starting point for statistical analysis. The function of a check sheet is to present information in an efficient, graphical format. Check sheets help to organize data by category. They show frequency of each particular value and their information. Check sheets are tools that make the data collection process easier. Their power is greatly enhanced when they are used in conjunction with other quality tools such as histograms and Pareto analysis. The check sheet shown in Table 3 was created by tallying each type of mode of defect of mechanical seal during a specified time. It shows the type of defects and how many of each type occurred during that period. 2.3. Pareto analysis It can be described as the 80/20 rule applied to quality-control. The 80/20 rule was formalized by economist Pareto after studying the distribution of wealth. He observed that about 80% of wealth was held by about 20% of the population. Joseph Juran applied this principle to quality- control. Pareto Analysis states that 80% of quality problems in the end product or service are caused by 20% of the problems in the production or service processes. In practice it is beneficial to separate “the vital few” problems from “the trivial many”. 2.3.1 Pareto Chart A Pareto Chart is simply a frequency distribution (or Histogram) of attribute data. The Pareto Chart is named after Italian economist Pareto; A Pareto Chart is a series of bars whose heights reflect the frequency or impact of problems. The bars are arranged in descending order of height from left to right. This means the categories represented by the tall bars on the left are relatively more significant than those on the right. This bar chart is used to separate the “vital few” from the “trivial many”. These charts are based on the Pareto analysis which are useful for the user to focus attention on a few important factors in a process. Pareto chart shown in “Fig.4” was constructed based upon the data collected by check sheet shown in Table 3 for various modes of defects with their respective frequency and percentage of mechanical seal. The figure reveals that the mechanical seal has vital few modes of defects and represents around 80 % of total cumulative percentage of non-conformities. Figure 4. Pareto chart for mode of defects Table 3. Check sheet for various modes of defects with their respective frequency and percentage 2.4 Brainstorming Brainstorming is a tool used by teams to bring out the ideas of each individual and present them in an orderly fashion to the rest of the team. The key ingredient is to provide an environment free of criticism for creative and unrestricted exploration of options or solutions. Sr. no . Mode of defect Produ ction volum e (No.s) No. of defecti ve compo nents (No.s) % of defect Cumula tive qty (No.s) Cumula tive % 1 Seal Ring pore 93823 528 35.22 528 35.22 2 latex coating 277 18.48 805 53.70 3 MR chipping 232 15.48 1037 69.18 4 US leak 225 15.01 1262 84.19 5 Projectio n 122 8.14 1384 92.32 6 stationar y leak 48 3.20 1432 95.53 7 Drop sample 35 2.33 1467 97.86 8 load 7 0.47 1474 98.33 9 other 25 1.67 1499 100.00 Total 93823 1499 100.0 0 1499 100.00
  • 4. Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 3, May-Jun 2013, pp.832-837 835 | P a g e Some of the specific benefits of Brainstorming are that it 1. Encourages creativity. It expands thinking to include all aspects of a problem or a solution with wide range of options. 2. Rapidly produces a large number of ideas by encouraging people to offer creative and justified ideas. 3. Equalizes involvement by all team members. It provides a nonjudgmental environment that encourages everyone to offer ideas. All ideas are recorded. The recommended sequence for conducting Brainstorming and some suggestions for conducting the session effectively are provided below:  Review the rules: describe how the session will be conducted.  Set a time limit: assign a timekeeper and data recorder.  State the topic: Write down and publicize it. Ensure that everyone understands it.  Collect everyone’s ideas: After allowing a few minutes for the participants to think about the question, ask them to give their ideas.  Record ideas: Display the ideas where everyone can see them. Having the words visible to everyone at the same time avoids misinterpretation and duplication.  Clarify each idea: After all ideas have been presented, to ensure that all members have the same understanding of it.  Eliminate duplications: Repeated ideas are to be eliminated. 2.5 Cause & Effect Diagram Process improvement involves taking action on the causes of variation. A team typically uses Cause-and-Effect (C&E) diagrams to identify and isolate causes of a problem. The late Dr. Kauro Ishikawa, Japanese quality expert, developed the technique and hence it is called as Ishikawa diagram. [4] The Diagram is a tool to show systematic relationship between a result or a symptom or an effect and its possible causes. It is an effective tool to systematically generate ideas about causes for problems and to present them in a structured form. 2.5.1 Structure The symptom or result or effect for which one wants to find causes is put in the dark box on the right. The lighter boxes at the end of the large bones are main groups in which the ideas are classified. Usually four to six such groups are identified. Figure 5. Cause & effect diagram In a typical manufacturing problem, the groups may consist of five Ms - Men, Machines, Materials, Method and Measurement. The six M Money may be added if it is relevant. In some cases Environment is one of the main groups. Important subgroups in each of these main groups are represented on the middle bones and these branch off further into subsidiary causes represented as small bones. The arrows indicate the direction of the path from the cause to the effect. [5] Brainstorming technique is therefore very useful in identifying maximum number of causes. The cause & effect diagrams shown in “Fig.5” were constructed by quality team and through brainstorming sessions involving all employees taking part in the related production and test activities Cause and effect diagram shown in Figure 5 shows major factors that can cause latex coating damage of cartridge of mechanical seal. The diagram was constructed by quality improvement team through brainstorming sessions involving all operators taking part in the related production and test activities. 2.6 Control Chart Control charts are the one of the most important and effective statistical tools for determining the process stability and variability. [4] These charts contain the upper control limit and lower control limit .Control charts are statistical tools used to analyze and understand process variables, to determine a process’s capability to perform with respect to those variables and to
  • 5. Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 3, May-Jun 2013, pp.832-837 836 | P a g e monitor the effect of those variables on the difference between customer needs and process performance. Every process has variation that can be classified as the result of either common causes or special causes. Common causes of variation are inherent in a process while variation created by special causes is not normally present in the process. Control charts are used to identify and distinguish between those two different causes of variation. One goal of using a Control Chart is to achieve and maintain process stability. We get benefit from using a Control Chart when we 1. Monitor process variation over time. 2. Distinguish between special cause and common cause variation. 3. Assess the effectiveness of changes to improve a process. 4. Communicate how a process performed during a specific period. “Fig.6” shows X and R chart for Seal ring height of mechanical seal. The figure illustrates natural process limits controlled within specification limits (1.00 to 1.40 mm) Machine Name Finish Grinding M/c Operation Seal Ring Grinding Characteristic Seal Ring Height Specification/ Tolerance 1.2 ± 0.2 Hour Sample X1 1.31 1.32 1.32 1.31 1.32 1.28 1.34 1.35 X2 1.32 1.35 1.34 1.33 1.27 1.30 1.32 1.32 X3 1.30 1.32 1.35 1.32 1.3 1.32 1.34 1.34 X4 1.29 1.31 1.34 1.32 1.28 1.29 1.31 1.30 X5 1.31 1.34 1.33 1.32 1.28 1.3 1.34 1.36 X 1.306 1.328 1.336 1.320 1.290 1.298 1.330 1.334 R 0.03 0.04 0.03 0.02 0.05 0.04 0.03 0.05 X 1.318 UCL X 1.337 LCL X 1.289 1.36 1.34 1.32 1.30 1.28 1.26 1.24 1.22 1.20 1 2 3 4 5 6 7 8 R 0.036 UCL ( R ) 0.0766 LCL ( R ) 0 0.08 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0 1 2 3 4 5 6 7 8 Sub Groups X & R Control Chart 1 2 3 4 5 6 7 8 Average Height Range Figure 6. Control Chart 2.7 Scatter Diagram It is also called as scatter plot or X–Y graph. A scatter diagram is a tool for analyzing relationships between two variables. One variable is plotted on the horizontal axis and called independent variable; the other is plotted on the vertical axis and called as dependent variable. The pattern of their intersecting points can graphically show relationship patterns. Scatter diagrams are used to evaluate cause and effect relationships. The assumption is that the independent variable is causing a change in the dependent variable. 3. RESULTS AND DISCUSSION Before implementation of SPC tools, production process at EKK Eagle products India Pvt. Ltd. was not in normal condition. After the techniques were built into the process, the management and operators had understood the cost wastage due to rejection of work piece. As seen from these studies, statistical process control and statistical quality control were effective in improving a process, irrespective of its application, and are key success factors to stay in business and the achievement of customer satisfaction and business excellence. 1. A histogram is a picture of the data distribution that includes its spread and shape. This can provide clues about the variation that exists in the work performed. Histogram for Seal Ring height is normal and bell shaped. It shows Cp is greater than 1. 2. Check sheets help to organize rejection data by category. 3. Pareto analysis states that 80% of rejection is due to a) Seal Ring pore b) Latex coating damage c) Mating Ring Chip d) US leak 4. Cause and effect diagram identify and isolate causes of problems. 5. Using control charts and by making changes in processes, we can make processes stable. 4. CONCLUSION It has been shown that with use of basic quality tools, organization can monitor, control and improve their processes. The seven basic quality tools in general have demonstrated a great capacity in the improvement of manufacturing and service industries across the world. There are basically five reasons behind this: 1. They are proven techniques for improving productivity; 2. They are effective in minimization of defects; 3. They prevent unnecessary process adjustments; 4. They provide diagnostic information; 5. They provide information about process capability to meet customer requirements. REFERENCES [1] Mohamed Aichouni, “On the use of the basic quality tools for the improvement of the construction industry: A case study of a ready mixed concrete production process”, International Journal of Civil &
  • 6. Samadhan D. Bhosale, S.C.Shilwant, S.R. Patil / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 3, May-Jun 2013, pp.832-837 837 | P a g e Environmental Engineeing IJCEE-IJENS Vol: 12 No: 05, 2012. [2] Paliska G, Pavletic D, Sokovic M, “Application of Quality Engineering tools in process industry”, Advanced Engineering, ISSN 1846-5900, 2008. [3] S Raghuraman, K Thiruppathi, J Praveen Kumar, B Indhirajith, “Enhancement of quality of the processes using statistical tools- A review”, International Journal of Engineering Science & Advanced technology, ISSN: 2250-3676, volume-2, Issue-4,1008-1017,2012. [4] Rami Hikmat Fouad, Adnan Mukattash, “Statistical Process control tools: A Practical guide for Jordanian Industrial Organizations”, Jordan Journal of Mechanical and Industrial Engineering, volume 4, Number 6, 2010. [5] Kamalesh Panthi, Syed M. Ahmed, “Application of Quality Tools to Improve Quality: A case study of a building Remediation Contractor”, Florida International University Miami, Florida.