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Engineering and manufacturing industries

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Versatile visual aids

Article Abstract:

Visual aids such as slide and base transparencies are being used with success in statistical process control classes. These transparencies proved to be a valuable help to students having difficulty comprehending control-capability relationship. Its major advantage is that they were able to concisely present a multitude of concepts. Instructors handling such classes should be adept and knowledgeable presenters to be able to optimize the value of these visual aids.

Author: Zaciewski, Robert D.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 1993

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C sub pk dart charts: an easy way to track continuous improvement

Article Abstract:

Graphs of standard deviation versus average that indicate lower confidence limits on process capability indices are referred to as C sub pk dart charts. The dart charts can be used to compare and contrast process capability indices. They areeffective visual representations of quality improvements and can also be used to measure improvements. Instructions for the construction of C sub pk dart charts and an example of application and usage are included.

Author: Buckfelder, John, Powell, Jon
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 1993
Column, Graphic methods

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Teaching the role of SPC in industrial statistics

Article Abstract:

An overview is presented of the use of SPC (statistical process control) in industrial statistics, with the observation that there is an interdependent link between the two. A model is provided for the comprehension and teaching of SPC in industrial statistics.

Author: Liberatore, Ralph L.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 2001
Models, Industrial statistics

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Subjects list: Study and teaching, Statistical process control, Methods, Process control
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