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QICID: 20227
Title: Quality Control Measurement of an Engineering Productivity Index
Copyright: 2005, ASQ and Taylor & Francis Inc.
Author: Jones, Erick C.
Organization: University of Nebraska-Lincoln, Lincoln, NE
Subject: Cognitive sciences,Employee retention,Engineering,Knowledge management (KM),Productivity,Statistical process control (SPC);
Series: Quality Engineering, Vol. 17, No. 4, October 2005, pp. 641-646
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Abstract: [This abstract is based on the author's abstract.]Organizations have difficulty measuring the productivity of their engineers because their work output is cognitive. Quality control charts were used to measure cognitive indexes of a group of engineers. Chart components were created from a representative group, then another sample group were tracked over time for out-of-control run patterns. Results indicate that the cognitive behavior index shows out-of-control patterns for low productivity engineers. Performance improvements for these individuals can result in cost savings and better returns on engineering salaries.
Number of pages: 6
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