Introduction to Operations and Supply Chain Management
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Transcript Introduction to Operations and Supply Chain Management
Managing Quality
• Quality defined
• Total cost of quality
• Strategic Quality
– Total quality management (TQM)
– Continuous improvement tools
• Quality assurance
– Statistical quality control
1
Definitions of Quality
• ASQ:
– The characteristics of a product or service that bear on
its ability to satisfy stated or implied needs
– A product or service free from defects
• Joseph Juran
– Fitness for use
• How would you evaluate the quality of the
following?
– Golf shirt
– Used car
2
Defensive Quality
• Quality analyzed in economic terms
Total Cost of Quality:
$ Failure Costs
$ Appraisal Costs
$ Prevention Costs
3
Total Cost of Quality
— One View
Cost per defectfree unit of product
($)
Total Cost
of Quality
Minimum Total
Cost
Appraisal Costs
Prevention
Costs
100% Defects
Internal/External
Failure Costs
Q* = Optimal Quality
0% Defects
4
Another View
The need
for
appraisal
and
prevention
costs fall
as defect
levels
decrease
Internal/External
Failure Costs
Total Cost
of Quality
Minimum Total
Cost
($)
Cost per defectfree unit of product
Appraisal and
Prevention Costs
100% Defects
0% Defects
Q* = Optimal Quality
5
Dimensions of Quality
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Performance
Features
Idea:
Reliability
Firms can actually compete
Durability
by excelling on selected
Conformance
dimensions.
Aesthetics
Serviceability
Perceived Quality
6
Total Quality Management
(TQM)
Managing the entire organization so that it
excels in all dimensions important to the
customer.
Product development
Marketing
Manufacturing
Support services
7
TQM Principles
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Customer focus
Leadership involvement
Continuous improvement
Employee empowerment
Quality assurance (including SPC)
Strategic partnerships
Strategic quality plan
8
Performance
Continuous Improvement (CI)
versus “Leaps” Forward
Time
9
Common Improvement Tools
(See Textbook!)
• Process mapping
• Cause and effect diagrams (aka “Fishbone”
or Ishikawa diagrams)
• Check sheets
• Pareto analysis
• Run charts and scatter plots
• Bar graphs
• Histograms
10
In the Text, It Was Noted That
Organizations Must ...
• Understand which quality dimensions are
important
• Develop products and services that will
meet users’ quality needs
• Put in place business processes capable
of meeting these needs
• Verify that business processes are
meeting the specifications
11
Discovering “problems”
Inspect every item
Expensive to do
Testing can be destructive
Statistical techniques
Statistical process control (SPC)
Acceptance Sampling
12
Statistical Process Control
• “Representative” samples
– good, but not perfect, picture
• Sampling by Variable
• Sampling by Attribute (good, bad, %?)
13
Sampling by Variable
X-bar Chart: 3 Sigma Only
UCL = X + A2R
LCL = X - A2R
X-bar Chart: Any Sigma
UCL = X + ZσX
LCL = X - ZσX
R-Chart: 3 Sigma Only
UCL = D4R
LCL = D3R
14
Sampling by Attribute I
p – chart: Any Sigma
UCL = p + Zσp,
LCL = p - Zσp
σp = √ p(1-p)/n
c-chart: Any Sigma
UCL = c + Z√ c
LCL = c - Z√ c
15
Process Capability
Answers the Question:
Can the process provide
acceptable quality
consistently?
16
Process Capability Ratio (Cp)
Upper Tolerance Limit – Lower Tolerance Limit
6σ
Where σ is the estimated
standard deviation for the
individual observations
17
Shown Graphically:
Mean
LTL
3
UTL
3
Process Capability ratio of 1
(99.7% coverage)
18
“Six Sigma Quality”
Mean
LTL
6
UTL
6
When a process operates with 6σ variation inside the tolerance
limits, only 2 parts out of a million will be unacceptable.
19
Process Capability Index
(Cpk)
LTL UTL
Cpk min
,
3
3
• Used when the process is not precisely centered
20
Type I and Type II Errors
• A Type I error occurs when a process that is in
control is falsely determined to be out of control.
Our control charts deal with Type I or α errors.
The probability of a Type I error lies in the tails of
the curve outside of the upper and lower control
limits.
• A Type II error occurs when a process that is not
in control is falsely determined to be in control.
We will not deal with Type II or β errors.
21
The Big Picture
So how do TQM, continuous
improvement, and all these statistical
techniques “fit” together?
22
3 Lines of Defense
1) PREVENT defects from occurring
TQM and continuous improvement
2) DISCOVER problems early
Process control charts
3) CATCH DEFECTS before used or
shipped
inspection / acceptance sampling
23