This document discusses statistical process control (SPC), which uses statistical methods to monitor and control processes to improve quality. SPC aims to ensure processes operate efficiently and produce specification-conforming products with less waste. Key SPC tools include control charts, histograms, check sheets, and cause-and-effect diagrams. Control charts in particular plot process data over time to identify changes or variability. Understanding processes and eliminating assignable causes of variation are important for achieving process stability and meeting customer requirements through continuous improvement.

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2. Points To Be Discussed .....
 Introduction
 Definition
 Objectives
 Importance
 Principle
 Statistical Control Tool
 Applications
 Advantages
 Conclusion
 Reference
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3. •Statistical process control is a method of quality control which employs statistical
method to monitor and control process
•This help to ensure that the process operates efficiently producing more
specification-conforming products with less waste
•Key tools used in statistical process control include run chats ,control charts
Focus on continuous improvement
•it is impossible to inspect or test quality into a product ,the product must be built
right the first time.
•This implies that the manufacturing process must be stable and that all individual
involved with the process(including operators ,engineers quality assurance personnel
and management.)must continuously seek to improve process performance and
reduce variablity in key parameters
Introduction
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4. Definition
• Statistical process control is a collection of tools that when used together
can result in process stability and variance reduction.
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Objectives
• To give a signal when item to variability has increased.
• In either case appropriate action must be taken by a machine operator or an
engineer .
• Statistics can only give the signal, the action relies on other skill.
• To give a signal when the process mean has moved away from the target .

5. Principle
• A process that is operating with only chance causes of variation present is
said to be in statistical control.
• A process that is operating in the presence of assignable causes is said to
be out of control.
• The eventual goal of SPC is the elimination of variability in process.
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6. Controlcharts
Histogram
Pareto Chart
Cause and Effect Diagram
Scatter Diagram
Check Sheet
Defect Concentration Diagram
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7. Control charts
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•Control chart are the statistical process control tool used to analyze process
performance over time. Control chart plot data and calculate average and
sigma line to evaluate the stability of the process
•Control chart constructed from historical data, the purpose of control charts
is to help distinguish between natural variation and variations due to
assignable causes
•The most common method of statistical process control is take sample at
regular interval and to plot the sample mean on control chart

8. Variable charts
• Charts for variable data requires measurements on continuous scale such as
lengths, weight, PH or resistance
• variable data include more information than attribute data , thus are
preferred for SPC and essential for diagnosis
• types of variable charts :
1) X-Bar
2) R-Bar
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9. Attribute charts
• Attribute data requires only a count of discrete measurements such as good
or bad.
• The charts for attributes will be useful provided the defective rate is high
enough to show on the chart with a reasonable subgroup size .
• Current competitive quality requirement in many industries are so high that
attribute charts are not useful .
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10. Features Of Control Charts:
1. Data points: Either average of subgroup measurements or individual measurements plotted
on the x/y axis and joined by a line.
2. The Average line: The average or mean of the data points and is drawn across the middle
section of the graph, usually as a heavy or solid line.
3. The upper control line: drawn above the centreline and annotated as “UCL”. This is often
called the “+3 sigma line.
4. The lower control line: draw below the centreline and annotated as “LCL”. This is called
the “-3 sigma” line
(Fig no.1)
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11. Importance of control charts:
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Control charts are a proven technique for improving productivity.
Control charts are effective in defect prevention .
Control charts prevent unnecessary process adjustment .
Control charts provide diagnostic information .
Control charts provide information about process capability

12. Process capabilities
• The natural variation of a process should be small enough to produce products that
meet the standard required
• A process in statistical control does not necessarily meet the design specifications
• Process capability is a measure of the relation ship between the natural variation of
the process and the design specifications
• Process capability is inherent variation of the product turned out by the process
.process capability provides the quantified prediction of the process adequacy and
refers to uniformity of the process .if it is a measurement with respect to the
precision of manufacturing.
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13. Process capability index
It is a dimensionless number that is used to represent the ability to meet
customer specification limit. this index compares the variability of
characteristics to specification limit. Three basic process capability indices
commonly used are Cp Cpk, Cpm.
the Cp index represent process capability in relation to the specified
tolerance of a characteristic divided by the natural process variation for a
process in state of statistical control
Cp = USL -LSL
6
where , USL is upper specification limit
LSL is lower specification limit
6 is the natural process variation
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14. Cause And Effect Diagram
 Cause and effect diagram is also called as fishbone diagram
– These are also called Ishikawa diagram, because Kaouru Ishikawa
developed them in 1943
– Cause and effect analysis is a technique for identifying all the possible
causes associated with a particular problem/effect before narrowing
down to a small number of main root cause which need to be addressed
– This chart helps the organize the brainstorming process
– A tree like structure results showing the many facets of the problem
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15. Steps involved in CE diagram
1. Clearly defined the problem (Effect)
2. Decide the format
3. Draw the blank diagram
4. Brainstorm causes
5. Go for the root(cause)
(Fig.no.2)
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16. Basic benefits of cause –Effect diagram
• Helps determining root causes.
• Encourages group participation.
• Uses an orderly ,easy to read format.
• Indicates possible causes of variation.
• Increase process knowledge.
• Identifies areas for collection
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17. Histogram
• Graphical representation of the frequency distribution of data in bar form is
called histogram.
• Histogram provide the easiest way to evaluate the distribution of data
• Histogram helps you analyze what is going on in the process and helps
show the capability of the process, whether the data is falling inside the bell
shaped curve and within specification .
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18. (Fig.no.3)
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19. Uses of histogram
• Compare measurements to specification.
• Communicate information to team.
• Assist in decision making.
• Summarise large data sets graphically.
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20. Check sheets
• A structured form for collecting and analyzing data. Is is basic tool that can be
adapted for wide variety of purpose in quality systems management.
• Check sheet are simply charts for gathering data. When check sheets are
designed clearly and cleanly ,they assist in gathering accurate and pertinent
data and allow the data to be easily read and used.
Function of check sheet
• To check the shape of the probability distribution of a process
• To quantify defects by type
• To quantify defects by location
• To quantify defects by cause (machine, worker)
• To keep track of the completion of steps in a multistep procedure
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21. (Fig.no.4)
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22. Advantages of SPC
• Reduces waste
• Cost reduction
• Customer satisfaction
• It emphasis on early detection and prevention of problem.
• Lead to produce reduction in time required to produce the product or
service from end to end
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23. APPLICATIONS
• Applications of SPC involve in three main phases of activity:
• 1. Understanding the process and the specification of variation, so that the
process is stable.
• 2. Eliminating assignable (special) sources of variation , so that the process
is stable.
• 3. Monitoring the ongoing production process, assisted the use of control
charts, to detect significant changes of mean or variation .
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24. Conclusion
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• Statistical process control improve the quality of process. Several drawback
of conventional approach of drug for formulation development can be
solved by using control chart as a tool in statistical process control to
determine whether a manufacturing of dosage form in pharmaceutical
industry in state of statistical control or not .
• Statistical process control help construction industry to understand the
process and improve its efficiency and capability to meet customer
specification and requirement .

25. References
1. R. C. Gupta ,Statistical Quality Control, khanna publication ,Delhi
2. Rami hikmat found, adman mukattash ,Statistical process control toll: A
practical for Jordanian industrial organization ,JJMIE, December 2010
page no.693-700
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