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Engineering and manufacturing industries

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The role of statistical thinking in management

Article Abstract:

Managers will benefit from a study of statistical concepts as statistics is the study of variation and as improvement in quality requires a decrease in variations in the set of processes that form a business. Managers must know how data should be collected so that the causes of variation may be found, must be able to differentiate between common- and special-cause variation, and must know how to use plots. Active learning programs, which incorporate a learn, use and evaluate cycle, will enable managers to analyze variations scientifically.

Author: Hare, Lynne B., Snee, Ronald D., Hoerl, Roger W., Hromi, John D.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 1995
Statistical process control

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Why should statisticians pay attention to six sigma?

Article Abstract:

Six sigma methodology uses statistical methods to target quality improvement, defect reduction, and project-by-project improvement. The methodology has been used effectively at a number of large organisations including Motorola, General Electric, and Allied Signal. Six sigma focuses on the bottomline, it integrates human and process aspects of improvement, and integrates improvement tools across the board.

Author: Snee, Ronald D.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 1999
Innovations

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Six Sigma improves both statistical training and processes

Article Abstract:

Issues are presented concerning the use of the Six Sigma system for the improvement of training methods in business enterprises. Advice is given on the technique of designing successful statistical training courses.

Author: Snee, Ronald D.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 2000
Management, Training, Employee training, Statisticians

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Subjects list: Study and teaching, Statistics, Statistics (Data)
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