QUALITY IMPROVEMENTS USING STATISTICAL PROCESS CONTROL Using this method the assignable causes for rejections were found out and therefore there was no rejection to very less rejection of the products which was controlled using SPC.

1. Progress Through Quality
SWAYAM COURSE
ACADEMIC WRITING
Sunil kumar P
APPLICATION NUMBER : a27497d7ece811e98e31351b67619a61

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QUALITY IMPROVEMENTS USING
STATISTICAL PROCESS CONTROL

3. Abstract
• The Overview of this presentation is to maintain the Quality of the
product being produced in Shanmugha precision forging Industry using
Statistical Process Control (SPC).
• This is achieved by taking the samples of the product which has close
tolerances and had a history of rejection from a particular shift. The
samples are inspected and dimensions of the samples being measured
are tabulated for plotting X-bar and R chart. When unusual sources of
variability are present, sample averages will plot outside the control
limits. This is a signal that some investigation of the process should be
made and corrective action to remove these unusual sources of
variability taken.
• Using this method the assignable causes for rejections were found out
and therefore there was no rejection to very less rejection of the
products which was controlled using SPC.
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4. Introduction
• Quality Control is a system of maintaining standards in
manufactured products by testing a sample of the output
against the specification.
• Statistical process control (SPC) SPC is method of
measuring and controlling quality by monitoring the
manufacturing process. Quality data is collected in the form
of product or process measurements or readings from
various machines or instrumentation.
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5. Introduction
• The control chart is a graphical display of a quality
characteristic that has been measured or computed from a
sample versus the sample number or time.
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6. Methodology
• The closest tolerance dimension of a part is selected using
the part drawing data sheet provided.
• Then, the measurement of the selected dimension for 50
continuous components are determined using appropriate
measuring instrument.
• The acquired data are entered into the SPC worksheet to find
out the process capability of the selected operation.
• If the process capability is poor, then the cause of variation is
determined and rectified.
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7. Data Collection and Analysis
• Below are some of the components for which the process and
performance were already good and did not needed any
corrections.
• Part No. 073182
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8. • Part No. 91257
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9. • Part No. 0444297602
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10. Parts Corrected
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Part No. 87456

11. Part No. 162951 (ID2 - 8.737)
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12. Part No. 162951 (ID1 - 11.125)
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13. Part No. 67887
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14. Outcomes
• This Industrial Summer Project gave direct hands-on
experience in the actual operations of the quality department
in an manufacturing plant.
• Also, some recurring non-conformities in the plant were found
out and reasonable solutions for the irregularities were also
incorporated.
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15. Acknowledgement
• First and foremost, we would like to thank Dr Ajay Semalty
and SWAYAM academic writing core team for their guidance
and valuable suggestions and continous support.
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Thank You