PRE-Control is a technique that helps shop operators to control the process so that defective
parts are not produced. Although simple to understand for even the shop operators, PRE-Control
is statistically robust. Unlike SPC where we need 25 subgroups before we can draw control limits
and conclusions, PRE-Control starts giving feedback about the process from the very beginning
making it highly responsive to the process signals, that too without charting!
In PRE-Control, the drawing tolerance is divided in three zones as shown in the
figure. These three zones are Green,
Yellow, and Red.
The middle half of the tolerance is the green PC zone. LTL means Lower tolerance limit and UTL
means upper tolerance limit. UPCL means upper PRE-Control Limit and LPCL means Lower PRE-Control Limit.
If CPk of the process is 1.0, it means that the tolerance equals 6x Sigma and the
mean of the process coincides with the tolerance mean. Sigma is the standard deviation. In such
a cases and assuming normal distribution, we can expect that 86 % of the readings will be in the
green (PC) zone and 7% in each of the yellow zones. Thus we can expect one out of 14 readings in
Thus chance of getting two consecutive readings in a yellow zone will be
(1/14)x (1/14) or 1/196. This is the foundation of PRE-Control. Considering all 4 possible permutations
of the consecutive 2 pieces, the chance is 4/196 or nearly 2%. In other words, operator will
get a signal to adjust the process when actually it should not be adjusted 2% of the time.
To qualify set-up:
- If five consecutive pieces are in Green zone, set-up is ok to run
- If one yellow, restart counting
- If two consecutive yellows, adjust the process
- If one reading is red, adjust the process
Thus set up cannot be qualified unless five pieces in a row are in the green zone.
If we cannot qualify the set up, then there is a clear signal that the process is not capable of
producing parts within specification. In such a case, efforts must be made to reduce process
variation so that capability index improves. This is the power of PRE-Control. It just does not
allow an incapable process to run. If the operator makes an attempt to continue, he/she has to
check all parts as the set up does not get qualified.
Sample two consecutive pieces A and B.
- If both are green or one is yellow and the other is green, continue.
- If both A and B are yellow on the same side, adjust the process.
If yellows are on the opposite sides, call for help as this may require review of the process.
- If any of the pieces is red, adjust the process.
In such a case, parts produced from the last sampling must be inspected.
Average six sample pairs between consecutive adjustments are recommended4.
Following table may be useful:
|Average time between process adjustment
||Sampling Interval for pairs
||Every 80 minutes
||Every 40 minutes
||Every 20 minutes
||Every 10 minutes
Impact of Cpk:
Impact of Cpk
The above graph shows the chance of getting five greens in a row for various CPk
values assuming normal distribution and process mean equals tolerance mean. The probability drops
sharply below CPk of 1.5. For CPk of 1.5, this is 0.88. This drops to 0.48 for CPk of 1.0. Thus
for lower values of process capability, it becomes more and more difficult to qualify the process
with the rule of five greens in a row forcing corrective action to reduce variation. The number
of pieces required to qualify the process is in a way an indicator of its capability.
One small scale manufacturer was doing 100 % inspection on a part machined on
boring machine even though the capability index was 1.96. This was because the operators were
adjusting the process based on their judgement. The part tolerance is 25 microns. After
changing over to PRE-Control, the adjustment was far better and closer to the mean. He could
then shift to sampling while producing defect-free parts !
Gauging for PRE-Control
Sometimes, colour marking can be provided on the gauging to make PRE-Control
more operator friendly. An example of air gauge marked for PRE-Control is shown below:
PRE-Control for one sided tolerances:
Following figures illustrate how to divide one sided tolerances [...1]
Case I: Zero is the Best|
Eg. Flatness, Concentricity
Case II: Maximum or Minimum|
Eg. Yield Strength
Concluding Remarks on PRE-Control:
Although PRE-Control is very simple to use, it is not a substitute for control
charts. The purpose of control charts is to monitor process to detect presence of assignable
causes, if any. Process log is maintained with Control Charts making it a useful tool to
understand variation with time and relate it to various events. PRE-Control on the other hand is
a simple tool that helps to prevent manufacture of defective parts. It does not require any
charting by the worker.
Dorian and Peter Shainin strongly recommend (1) that PRE-Control should be used
by workers and special inspectors should not be provided to measure samples. They also
discourage asking workers to make charts or tally sheets. The purpose of shop is to make good
product and not charts or records!
- Quality Control Handbook by J.M.Juran
- Introduction to Statistical Quality Control by Douglas C.Montgomery
- World Class Quality by Keki R.Bhote
- Implementing Six Sigma by Forrest W.Breyfogle III
Hemant P. Urdhwareshe
52, Ex Servicemen's Colony,
Pune 411038. INDIA
Published: January 2002
Mr. Hemant Urdhwareshe, Certified Six Sigma Black Belt (ASQ), C.Q.Mgr.(ASQ), C.Q.E. (ASQ) is General Manager - Quality, at Cummins India Ltd.
He is a Senior Member American Society for Quality and Fellow of Indian Institution of Production Engineers.
He can be contacted at e-mail address: firstname.lastname@example.org
or through us at email@example.com
Related Software from SymphonyTech
Pre-Control is a technique for controling the quality of products based on Specification Limits rather than Control Limits. Pre-Control chart focusses on control of product non-conformances rather than control of process.
The Pre-Control WorkBench software from SymphonyTech combines the ease and simplicity of shop-floor implementation, supplemented by the power of Process Capability evaluation.