Vol. 10, No. 6

June 2008

PQ Systems
 
Contents

Spring cleaning and
inactive gages

Quality Quiz: With a video!

Data in everyday life

MSA with Jackie Graham

Bytes and pieces

FYI: Current releases

 

Send Quality eLine
to a friend!

Just type in your friend's email below:

 

Sign up
If you received this newsletter from a friend and want your own subscription to Quality eLine, click below.

Subscribe to Quality eLine

 
Software

 

   

Quality Quiz from Professor Cleary

Karmond Geeya is a quality technician for Coastal Cruisers Company, an organization that produces outboard motors for marine vessels. Geeya is responsible for final assembly of these motors, including paint and trim, and for inspection of each product prior to shipping. The inspection includes a variety of characteristics that represent components of quality that C.C.C. is interested in producing. One of the inspection processes addresses paint applications, where defects are detected and recorded as data for analysis. If there is a blemish in the paint, for example, the defect will be recorded by the inspector.

Geeya, who reads widely in her field, has discovered the usefulness of c-charts in statistical process control, and finds a useful symmetry in the possibilities of using this particular kind of chart for paint inspection. "After all," she says wryly to her assistant, "it seems only fitting that C.C.C. should be using c-charts."

According to the textbook that Geeya has been consulting, c-charts should be used for discrete events. "Well," she muses, "a pit in the paint job is certainly a discrete event." Other requirements include that the event should be defined by one limited area (one motor, for example), defects are independent of each other, and each type of defect occurs infrequently. These factors must be present because a c-chart follows what is known as a Poisson distribution--something that Geeya unfortunately read as "poison."

As she instructs her assistant about the use of c-charts, she reviews each of the assumptions, and the two of them decide that indeed, the analysis would be addressing discrete occurrences, the defects would be confined to a well-defined area (one motor), and that they are independent of each other. As it happens, some defect types are not particularly independent, but as Geeya points out, "Who's to say what's independent and what's not?" and they decide that independence really does not have a direct impact on the analysis anyway.

Are Geeya's assumptions about the use of c-charts correct?

A) yes

B) no

Click on the correct answer, and link to the solution.

 

Click here for a more complete video explanation

Copyright 2008 PQ Systems.
Please direct questions or problems regarding this web site to the Webmaster.