SlideShare a Scribd company logo
6
Most read
13
Most read
21
Most read
STATISTICAL QUALITY CONTROL
Anubhav Grover (12HM08)
OPERATION PROCESS
 The goal of every operation or production system is
to generate a useful product.
 The product may be a service, information, or
physical object.
 Each production cycle begins with inputs that are
transformed by a process into a more desired state
or into the product.
NEED OF QUALITY CONTROL
 In each process, excessive variations and errors
can cause nonconformities, which leads to three
undesirable consequences:
 (a) scrapped or wasted resources;
 (b) degraded process throughput;
 (c) “contamination” from undetected
nonconformities,
 reducing the value of the product to the customer.
GOAL OF QUALITY CONTROL
 The goal of quality control in every production
system is to
 (a) eliminate nonconformities and their
consequences,
 (b) eliminate rework and wasted resources, and
 (c) achieve these goals at the lowest possible cost
QUOTES BY PHILIP CROSBY
 Four interesting quotes from
QC expert Philip Crosby.
 1. “The cost of quality is the
expense of doing things
wrong.”
 2. “There is absolutely no
reason for having errors or
defects in any product or
service.”
 3. “If quality isn‟t ingrained in
the organization, it will never
happen.”
 4. “It is much less expensive
to prevent errors than to re-
work, scrap, or service them.”
EVOLUTION OF QUALITY CONTROL
 Most quality-control methods were initially
developed to aid manufacturing.
 High- volume production typically requires many
repetitions involving a controlled sequence of
operations.
 Where operations are frequently repeated, it is
easier to recognize processing errors and identify
appropriate control measures
Statistical quality control
JUDGMENT INSPECTIONS
 Historically, the first quality-control methods were
based on judgment inspections.
 Judgment inspections are made after a process has
transformed inputs into a product.
 Based on inspection, the product is accepted,
rejected, or reworked.
JUDGMENT INSPECTION
SQC INSPECTIONS
 The next major breakthrough in quality control was
made by a team led by Shewhart at Bell
Laboratories.
 His team demonstrated that variation on the
production floor could be described statistically and
that statistical data could identify when a process
was drifting out of control.
 Statistical data were useful in guiding adjustment of
the process to reduce the probability that
nonconforming product would be produced.
SQC INSPECTIONS
SQC OVER JUDGMENT INSPECTION
 The SQC inspection process had many advantages
relative to judgment inspections.
 SQC relies on sampling inspection, which
substantially reduces the amount of inspection
activity.
 Unlike judgment inspection, SQC provides a
feedback for the production process that helps to
reduce the likelihood of nonconformities.
 The improvement in quality achieved through SQC
reduced rework, scrap, and wasted resources.
SQC
 Statistical Quality Control began in the 1930`s with
the industrial use of control charts.
 By implementing SQC, the United States (and
Britain) were able to produce supplies at lower cost
and in large quantity.
 This was the origins of Statistical Quality
Management and Japan`s quality improvement
process journey.
 A control chart contains
 A center line
 An upper control limit
 A lower control limit
 A point that plots within the
control limits indicates the
process is in control
 A point that plots outside the
control limits is evidence
that the process is out of
control
 There is a close connection
between control charts and
hypothesis testing
Control Chart
REASONS FOR POPULARITY
OF CONTROL CHARTS
1. Control charts are a proven technique for
improving productivity.
2. Control charts are effective in defect
prevention.
3. Control charts prevent unnecessary process
adjustment.
4. Control charts provide diagnostic information.
5. Control charts provide information about
process capability.
HOW IS SQC USED IN MANUFACTURING
 It is based on statistical techniques of sampling. That is
by using small samples companies determined the
quality level[defective rates] of the whole production run.
 In SQC, a random sample of finished products is
measures against predetermined standards.
 Hence, the deffective rate of a production run of
100,000 units might be decided by a sample of few
hundred units.
 In SQC, the margin on error in testing the sample can
be established at the 90.95, or 99 percent level.
HOW IS SQC USED IN MANUFACTURING
 Based on the results of the sample, a technician
testing a batch would conclude that the defective
rate was too high and it fell within the boundary of
tolerance at the 95 significance level.
 Based on the sample test, the quality control
technician would either accept the whole batch or
reject it.
 If the technician were to reject the sample a check
of the whole production batch would have to be
done to remove the defective units from the batch.
TOYATA „S ADVANTAGE OF USING SQC
 Based on the corporate
philosophy of 'customer
first' and 'quality first'
since its founding,
 Toyota Motor Co., Ltd.
won the Deming
Application Prize in 1965
and the Japan Quality
Control Award in 1970,
 following the introduction
of statistical quality
control (SQC) in 1949.
STATISTICAL QUALITY CONTROL IN
SERVICES
 Statistical quality control (SQC) tools have been
widely used in manufacturing organizations for
quite some time.
 Manufacturers such as Motorola, General Electric,
Toyota, and others have shown leadership in SQC
for many years.
 Unfortunately, service organizations have lagged
behind manufacturing firms in their use of SQC.
 The primary reason is that statistical quality control
requires measurement, and it is difficult to measure
the quality of a service.
 Services provide an intangible product and that
perceptions of quality are often highly subjective.
SQC IN SERVICES
 Another issue that complicates quality control in
service organizations is that the service is often
consumed during the production process.
 The customer is often present during service
delivery, and there is little time to improve quality.
 The way to manage this issue is to provide a high
level of workforce training and to empower workers
to make decisions that will satisfy customers.
SQC AT RITZ CARLTON HOTEL
 One service organization that has demonstrated
quality leadership is The Ritz-Carlton Hotel
Company
 This luxury hotel chain caters to travellers who seek
high levels of customer service. The goal of the
chain is to be recognized for outstanding service
quality.
 To this end, computer records are kept of regular
clients‟ preferences. To keep customers happy,
employees are empowered to spend up to $2,000
on the spot to correct any customer complaint.
RITZ CARLTON ADVANTAGE OF USING SQC
 The Ritz-Carlton has received a number of
quality awards including winning the Malcolm
Baldrige National Quality Award twice.
THANK YOU

More Related Content

PPTX
Statistical Quality Control.
PPT
Food Quality Assurance, important terms and phrases
PPTX
Introduction to design and footwear testing
PDF
8 Disciplines (8D) Problem Solving Approach
PDF
新QC 7手法 New 7 QC tools
PPT
CAPACITY PLANNING
PPTX
E procurement
PPTX
104.7.16魚骨圖介紹簡報
Statistical Quality Control.
Food Quality Assurance, important terms and phrases
Introduction to design and footwear testing
8 Disciplines (8D) Problem Solving Approach
新QC 7手法 New 7 QC tools
CAPACITY PLANNING
E procurement
104.7.16魚骨圖介紹簡報

What's hot (20)

PPT
Statistical Quality Control
PPTX
Statistical quality control presentation
PPTX
Statistical quality control
PDF
Control charts in statistical quality control
PPTX
Statistical Quality control
PPTX
Statistical quality control
PPTX
Statstical process control
PPT
Control chart ppt
PPT
Statistical Quality Control
PPT
X bar and R control charts
PPT
CONTROL CHARTS
PPT
Quality control methods
PPTX
Statistical quality control
PPTX
Statistical process control
PDF
Statistical Quality Control Lecture Notes.pdf
PPTX
Statistical process control technique with example - xbar chart and R chart
PPT
Control charts
PPTX
Introduction to control charts
PPTX
Seven tools of TQM
PPTX
statistical process control
Statistical Quality Control
Statistical quality control presentation
Statistical quality control
Control charts in statistical quality control
Statistical Quality control
Statistical quality control
Statstical process control
Control chart ppt
Statistical Quality Control
X bar and R control charts
CONTROL CHARTS
Quality control methods
Statistical quality control
Statistical process control
Statistical Quality Control Lecture Notes.pdf
Statistical process control technique with example - xbar chart and R chart
Control charts
Introduction to control charts
Seven tools of TQM
statistical process control
Ad

Viewers also liked (10)

PDF
Run Chart
PPT
Sqc-charts
PPT
Statistical quality control
DOCX
Stress management Among Teenagers
PPT
DOCX
Stress Among teenes (questionare)
PPTX
Classification of Market
DOC
Sample Questionnaire
DOCX
Thesis questionnaire
PPTX
Slideshare ppt
Run Chart
Sqc-charts
Statistical quality control
Stress management Among Teenagers
Stress Among teenes (questionare)
Classification of Market
Sample Questionnaire
Thesis questionnaire
Slideshare ppt
Ad

Similar to Statistical quality control (20)

PDF
SQC Introduction_Dimensions_7Quality Control Tools
PPT
concept of validation
PDF
Quality by Design for Legacy Products - A Contradiction ?
PPTX
VALIDATION AND CALIBRATION OF PHARMACEUTICAL EQUIPMENTS.pptx
PPTX
validationandcalibrationmasterplan-190223191733.pptx
PPT
Quality is a cost
PDF
Statistical quality control irfan bashir kardaash - copy
PPT
Six sigma-measure-phase2505
PPT
Costof quality
PPTX
Quality management
PPTX
Validation and calibration master plan
PPTX
Pharmaceutical validation
PPTX
qualitycontrolandinspection-151025072001-lva1-app6891.pptx
PPTX
The concept of quality assurance
PPTX
PHARMACEUTICAL ANALYSIS –III.pptx validation complete
PPT
Qa tools and techniques
PDF
Introduction-to-Statistical-Quality-Control-SQC.pdf
PPTX
unit-4.pptx inventory management and its various types of it
PPTX
Six Sigma in clinical laboratory
PPTX
Quality CONTROL BY PIYUSH GUPTA
SQC Introduction_Dimensions_7Quality Control Tools
concept of validation
Quality by Design for Legacy Products - A Contradiction ?
VALIDATION AND CALIBRATION OF PHARMACEUTICAL EQUIPMENTS.pptx
validationandcalibrationmasterplan-190223191733.pptx
Quality is a cost
Statistical quality control irfan bashir kardaash - copy
Six sigma-measure-phase2505
Costof quality
Quality management
Validation and calibration master plan
Pharmaceutical validation
qualitycontrolandinspection-151025072001-lva1-app6891.pptx
The concept of quality assurance
PHARMACEUTICAL ANALYSIS –III.pptx validation complete
Qa tools and techniques
Introduction-to-Statistical-Quality-Control-SQC.pdf
unit-4.pptx inventory management and its various types of it
Six Sigma in clinical laboratory
Quality CONTROL BY PIYUSH GUPTA

Statistical quality control

  • 2. OPERATION PROCESS  The goal of every operation or production system is to generate a useful product.  The product may be a service, information, or physical object.  Each production cycle begins with inputs that are transformed by a process into a more desired state or into the product.
  • 3. NEED OF QUALITY CONTROL  In each process, excessive variations and errors can cause nonconformities, which leads to three undesirable consequences:  (a) scrapped or wasted resources;  (b) degraded process throughput;  (c) “contamination” from undetected nonconformities,  reducing the value of the product to the customer.
  • 4. GOAL OF QUALITY CONTROL  The goal of quality control in every production system is to  (a) eliminate nonconformities and their consequences,  (b) eliminate rework and wasted resources, and  (c) achieve these goals at the lowest possible cost
  • 5. QUOTES BY PHILIP CROSBY  Four interesting quotes from QC expert Philip Crosby.  1. “The cost of quality is the expense of doing things wrong.”  2. “There is absolutely no reason for having errors or defects in any product or service.”  3. “If quality isn‟t ingrained in the organization, it will never happen.”  4. “It is much less expensive to prevent errors than to re- work, scrap, or service them.”
  • 6. EVOLUTION OF QUALITY CONTROL  Most quality-control methods were initially developed to aid manufacturing.  High- volume production typically requires many repetitions involving a controlled sequence of operations.  Where operations are frequently repeated, it is easier to recognize processing errors and identify appropriate control measures
  • 8. JUDGMENT INSPECTIONS  Historically, the first quality-control methods were based on judgment inspections.  Judgment inspections are made after a process has transformed inputs into a product.  Based on inspection, the product is accepted, rejected, or reworked.
  • 10. SQC INSPECTIONS  The next major breakthrough in quality control was made by a team led by Shewhart at Bell Laboratories.  His team demonstrated that variation on the production floor could be described statistically and that statistical data could identify when a process was drifting out of control.  Statistical data were useful in guiding adjustment of the process to reduce the probability that nonconforming product would be produced.
  • 12. SQC OVER JUDGMENT INSPECTION  The SQC inspection process had many advantages relative to judgment inspections.  SQC relies on sampling inspection, which substantially reduces the amount of inspection activity.  Unlike judgment inspection, SQC provides a feedback for the production process that helps to reduce the likelihood of nonconformities.  The improvement in quality achieved through SQC reduced rework, scrap, and wasted resources.
  • 13. SQC  Statistical Quality Control began in the 1930`s with the industrial use of control charts.  By implementing SQC, the United States (and Britain) were able to produce supplies at lower cost and in large quantity.  This was the origins of Statistical Quality Management and Japan`s quality improvement process journey.
  • 14.  A control chart contains  A center line  An upper control limit  A lower control limit  A point that plots within the control limits indicates the process is in control  A point that plots outside the control limits is evidence that the process is out of control  There is a close connection between control charts and hypothesis testing Control Chart
  • 15. REASONS FOR POPULARITY OF CONTROL CHARTS 1. Control charts are a proven technique for improving productivity. 2. Control charts are effective in defect prevention. 3. Control charts prevent unnecessary process adjustment. 4. Control charts provide diagnostic information. 5. Control charts provide information about process capability.
  • 16. HOW IS SQC USED IN MANUFACTURING  It is based on statistical techniques of sampling. That is by using small samples companies determined the quality level[defective rates] of the whole production run.  In SQC, a random sample of finished products is measures against predetermined standards.  Hence, the deffective rate of a production run of 100,000 units might be decided by a sample of few hundred units.  In SQC, the margin on error in testing the sample can be established at the 90.95, or 99 percent level.
  • 17. HOW IS SQC USED IN MANUFACTURING  Based on the results of the sample, a technician testing a batch would conclude that the defective rate was too high and it fell within the boundary of tolerance at the 95 significance level.  Based on the sample test, the quality control technician would either accept the whole batch or reject it.  If the technician were to reject the sample a check of the whole production batch would have to be done to remove the defective units from the batch.
  • 18. TOYATA „S ADVANTAGE OF USING SQC  Based on the corporate philosophy of 'customer first' and 'quality first' since its founding,  Toyota Motor Co., Ltd. won the Deming Application Prize in 1965 and the Japan Quality Control Award in 1970,  following the introduction of statistical quality control (SQC) in 1949.
  • 19. STATISTICAL QUALITY CONTROL IN SERVICES  Statistical quality control (SQC) tools have been widely used in manufacturing organizations for quite some time.  Manufacturers such as Motorola, General Electric, Toyota, and others have shown leadership in SQC for many years.  Unfortunately, service organizations have lagged behind manufacturing firms in their use of SQC.  The primary reason is that statistical quality control requires measurement, and it is difficult to measure the quality of a service.  Services provide an intangible product and that perceptions of quality are often highly subjective.
  • 20. SQC IN SERVICES  Another issue that complicates quality control in service organizations is that the service is often consumed during the production process.  The customer is often present during service delivery, and there is little time to improve quality.  The way to manage this issue is to provide a high level of workforce training and to empower workers to make decisions that will satisfy customers.
  • 21. SQC AT RITZ CARLTON HOTEL  One service organization that has demonstrated quality leadership is The Ritz-Carlton Hotel Company  This luxury hotel chain caters to travellers who seek high levels of customer service. The goal of the chain is to be recognized for outstanding service quality.  To this end, computer records are kept of regular clients‟ preferences. To keep customers happy, employees are empowered to spend up to $2,000 on the spot to correct any customer complaint.
  • 22. RITZ CARLTON ADVANTAGE OF USING SQC  The Ritz-Carlton has received a number of quality awards including winning the Malcolm Baldrige National Quality Award twice.