Note  All
products are only available to OEM source code purchasers. Contact us
for details.
Minimum System Requirements:
 155 Mhz Pentium with 16 Meg. Ram
 20 Meg. Hard Drive
 640x480 Screen Size
The Features You Want
 Cut and paste charts and data into other
software
 Uses a Microsoft Access97 Database
 Import/Export CVS file
 Very Easy to use
We have initiated new concepts into Six
Sigma SPC software that no one else had. Mostly for Six Sigma reasons.
This software is based on our Motorola SPC, (Statistical
Process Control), training that was the first training
that we went to before the real six sigma training started. This is
because everyone needed t know basic SPC to start. That training course
was based on Dale H.,
Ph.D. Besterfield's book Quality
Control the 2^{nd}
edition and updated from the 6^{th} edition of Besterfield’s
book, as well as Quality
Planning and Analysis by Frank
M. Gryna and Joseph M. Juran and it
holds true to all the examples in the Motorola training materials. It
deals with using process control charts.
 It is the easiest to use because there
is no set up involved. It uses tab cards and Excel type grids that
we are all familiar with. This means little to no time in training.
So if you have a high turnover of employees or just move people
around a lot, there is still no training involved.
 No classes to take to get your full
value from it and you can remember how to run every aspect of it no
matter how often you actually sit down at the keyboard. Plus for
unskilled labor, 5 minutes or less of training and they can run
every portion of it so you don't have to. It is cheap enough to
allow everyone to use the same software thus eliminating confusion.
This along can get you a return on t he investment in less than 3
months.
 Cp
and Cpk, (process capability), line charts with not only
the data plotted, but also your average Cp or Cpk, the Standard
Deviation, (Std. Dev.), of the plots, your target design
margin, threesigma level, and a bestfit line. This can directly
help you in tracking your Six Sigma projects.
With these charts, as well as the Range
and X Bar charts, it can be difficult to actually see if you are
improving or not. The ‘Best Fit’ line shows you this. You can
estimate sigma all you want, but these charts are based on your actual
data and actual calculations of sigma, not estimated. You can see
flocculation in your process capabilities. Over time this can tell you
how often you need to sample just for one think.
Let’s face it, if your XBar chart
looks normal, it looks like a saw tooth, and you cannot really tell if
it is going up or down. Our charts can tell you that.
PreControl Limits for Xbar and Range
charts.
Data stored in Microsoft Access database
for use with other products.
Export Data to a Microsoft Asscess97
Database or a .csv, (comma delimited) files.
Create as many databases as you need.
Save the Graphic Charts to the Hard Drive
or Clipboard.
Correlated with a TI36X Solar Statistics
Calculator and Windows Calculator in Scientific Mode. TI 36X Solar
Statistics Calculator rounds up to 5 at the tenth digit. We use double
precision numbers.
StandALone design. Does not require
Microsoft Office or any Microsoft Office products, but will interface
with them.
Easy data entry using the TAB or
ENTER/RETURN key to enter you sample and move to the next sample.
Imports .csv, (comma delimited) files.
Our 3 tab card design makes it easy to
browse and find a part number, parameter
or sample data.
Windows 'What's This Help'
for every field of every screen.
Extensive HELP file with
help for every field on every screen.
Distribution/Histogram
chart that compares your actual data with the part specification limits.
Purchase
ZeroRejects for only $150.00(USD)
What we did that stands out the most is
our distribution chart. We were the first to plot a bell shape curve
around the specifications and the data. Why, well because six sigma is
about process shift. Why no one else thought of it before us I don’t
know. It just came to me one day. But our distribution chart shows much
more than that.
The software we wrote for Motorola was
the first software ever to have the lines to indicate 4.5 sigma. We
expanded on that so that our software can be used for shops that are not
six sigma. As you can see below, the scale of our distribution is laid
out in units of sigma. This does several of things for you.
First it is easier to tell what you
process is capable of producing compared to your specification limit. It
tells you what you specification limit must be in order to achieve the
specific design margin. But that is obvious. However, it does sort of
give you a visual representation of the Cp and Cpk.
It also makes it quick to get a ‘Z’
number. Consider the graphic below.
This deals with the relationship between
standard deviation and the area under the normal curve. You use a table
found in most statistics books, but in order to use the table, any given
‘X’ value or measurement must first be converted to an appropriate
‘Z’ value. This is nothing more than the number of standard
deviation units from the population mean.
Relating ‘Z’ values to ‘X’
Values
‘Z’ units are nothing more than
numbers of standard deviation units. For example, one standard deviation
to the right of xbar is a value of 115 to t he right of xbar. (sigma =
15) this also corresponds to a ‘Z’ value of one. A value of 122.5
would correspond to +1.5 ‘Z’ units. (1.5 standard deviations to the
right or a value of 22.4 plus 100)
Of course there is a formula to do it
also, but some times you just need a quick fix.
New in version 3 is a Cumulative
Frequency chart. This is useful for checking if your distribution is
normal or not. This is advantageous when doing a capability study.
According to my course example that was
in Besterfield’s
book verbatim (note the 6th edition of Besterfield’s book has
another example that is similar) You can use an estimate of XBar and
sigma, our software uses actual calculations instead.
First look at the distribution we
invented, then the cumulative frequency chart.
NOTE: XBar above is 3.5
Estimate the average value by reading x
value at the 50% point. This is the estimated mean and is about 3.0
compared to our calculated value of 3.5. This is actually the medium or
center point.
Next consider the graphic below.
The lines on the chart are laid out like
the lines on the image. So 68.26, total width between –1 and +1 sigma
divided by 2 = 34.13. So we add and subtract 34.13 from the 50% middle
line. And come up with 84.13 and 15.87. This is the spread of one sigma.
Note that the standard deviation lines are not lined up at 84.13 and
15.87. This tells us something about our distribution. So does the fact
that the Cf line intersects in more than one place the ‘Best Fit Line’.
Any percentage of values that could be
expected below or above any given ‘X’ value can be read directly
from the curve. We also do the 2 sigma spread the same way, but ones
confidence at this extreme edge is less than the one sigma spread.
One advantage of ZeroRejects is that why
you are looking at the charts on t he screen, the status bar at the
bottom of the software always gives you the parameter specifications.
This allows you to compare the numeric values on t he chart with the
specification limits.
(Note: the status bar example does not
match the data of the example charts. It is only shown for you to see
how you can look at the charts on the screen and then look at the
parameters all at the same time.)
The general interpretation of the
probability plots are as follows.
If the distribution curve is normal, (or
close to it), the resulting curve is a straight line, as shown in
the example above. The average, spread and percentage beyond limits are
easily obtained.
If the distribution is skewed,
(lopsided), the curve is not normal. However, the 50% point, (median),
is valid; the percentages beyond specifications are valid; and the
spread is valid.
By looking at where the line starts and
finishes vs. the specification and how straight it is compared to the
best fit line, and where the standard deviation lines are, you can
picture if your distribution is normal or not graphically.
User selectable Design
Margin (Target Sigma) 3 to 6 Sigma.
Smart Evaluation of Design
Margin VS Actual Data so every station doesn't need 'Six Sigma' training
X Bar, Range, Cp and Cpk
Line Charts for 6 Sigma, ISO TQM, and QS requirements. All line charts
have a 'Best Fit' line so you can see the trends.
X Bar
Range
Cp
Cpk
Last Updated: Sunday, 13Apr08 07:22:06 PDT
