Total
Quality Management
MGT510
VU
Lesson
# 41
BUILDING
QUALITY THROUGH SPC
Statistical
Process Control
·
Capable
processes also must be
controlled
·
SPC
distinguishes 2 types of variability
Normal
(Random) Variability
Abnormal
(Structural) Variability
SPC
requires the use of
Statistics
·
Quality
improvement efforts have their
foundation in statistics.
·
Statistical
Process Control involves
the
Collection
Tabulation
Analysis
Interpretation
Presentation
Of
numerical data.
Types
of Data
·
Variables
Data
- quality characteristics that
are measurable values.
Measurable
and normally continuous; may
take on any value.
·
Attribute
Data
- quality characteristics that
are observed to be either present or
absent,
conforming
or nonconforming.
Countable
and normally discrete;
Control
Chart Functions
1.
Control Charts are
Decision-Making Tools - they
provide an economic basis for
deciding whether to
alter
a process or leave it
alone
2.
Control Charts are
Problem-Solving Tools - they
provide a basis on which to
formulate improvement
actions
3.
SPC exposes Problems; it does
not solve them!
·
To
monitor Output, we use a
control chart
we
check things like the mean,
range, standard deviation
·
To
monitor a Process, we typically
use pair of control
charts
mean
(or some other central
tendency measure)
variation
(typically using range or
standard deviation)
·
Separate
common and special causes of
variation
·
Determine
whether a process is in a state of
statistical control or
out-of-control
·
Estimate
the process parameters (mean,
variation) and assess the performance of
a process or its
capability
Commonly
Used Control
Charts
·
Variables
data
x-bar
and R-charts
x-bar
and s-charts
166
Total
Quality Management
MGT510
VU
Charts
for individuals
(x-charts)
·
Attribute
data
For
"defectives" (p-chart,
np-chart)
For
"defects" (c-chart, u-chart)
Defining
Process Capability
·
Process
capability refers to the ability of the
process to meet the specifications
set by the
customer
or designer.
167