OTHER OUT-OF-CONTROL INDICATIONS


OTHER OUT-OF-CONTROL INDICATIONS

To this point, the only formal indication of an out-of-control process is a point beyond the control limits. There are a number of other possible indications of "nonrandom" behavior that we might want to react to. The usual ones that have been suggested include:

  • At least seven upward (or downward) consecutive changes

  • At least seven consecutive points above (or below) the centerline

  • At least two of three consecutive points beyond two standard deviations from the centerline (where both are on the same side of the centerline); usually applied only to Xbar charts

  • At least 4 of 5 consecutive points beyond one standard deviation from the centerline (where all 4 are on the same side of the center line); usually applied only to Xbar charts

For these last two conditions, it is common to divide the region between the center-line and either control limit into three "zones" of width one standard deviation each, as indicated in Figure 11.9. (Figure 11.9a shows the zones, and Figure 11.9b shows the distribution of points that are out of control.) Then Condition 3 is called the Zone A rule, and Condition 4 is called the Zone B rule. In either case, the idea is that although points within Zone A and Zone B are within the control limits, it is unlikely that an in-control process would have this many nearby points in Zone A or B.

click to expand
Figure 11.9: A typical control chart divided into zones.

Most computer programs have built-in alarms when they analyze the control charts. The alarms, depending on the software package, may be a different color , a letter, or even a number code for each of the signals we have discussed in here. However, we do not want to overemphasize these (or any other) possible indications of out of-control behavior. The more such conditions that we check for, the more likely that we will find false alarms. In a real situation, an experienced operator is likely to give different emphasis to different out-of-control indications. For example, if the operator sees any of the above conditions but no points beyond the control limits, he or she might start sampling more frequently ”every 15 minutes instead of every 30 minutes, say. If he then continues to see more instances of these conditions or to see points beyond the control limits, he might start searching for assignable causes and possible fixes.

Typical assignable causes are

Broken tool

Chips

Clamps not working

Handling damage

Improper cycle time

Improper maintenance

Incorrect feed rate

Over/under adjustment

Change over

Bearing loose or worn

Worn chip locators

Worn wear plates

Defective tools

Hard or soft stock

Tool adjustment

Tool change

Runout

Loose tooling

Out of balance

Tool wear

Unknown

Belts

Incorrect speed rate

Calibration error

Grind wheel needs change

Temperature change (environment)

Gage-gage error

Low or high air pressure

Improper lubrication

Taper problem

Previous operation defect

Low or high hydraulic pressure

Spindle bearings

Collect change or repair

Incoming stock variation

Pressure or load adjustment

Worn bushings

Loose gibbs

Out of alignment

Supplier defects

Improper coolant

Rust or contamination




Six Sigma and Beyond. Statistical Process Control (Vol. 4)
Six Sigma and Beyond: Statistical Process Control, Volume IV
ISBN: 1574443135
EAN: 2147483647
Year: 2003
Pages: 181
Authors: D.H. Stamatis

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