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Statistical training of researchers in total quality management: The japanese experience

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Batanero, C. (Ed.), Training Researchers in the Use of Statistics, 53-63.
 2001 International Association for Statistical Education and International Statistical Institute.
Printed in Granada, Spain

CHIHIRO HIROTSU

STATISTICAL TRAINING OF RESEARCHERS IN TOTAL QUALITY
MANAGEMENT: THE JAPANESE EXPERIENCE
A training system for statistical methods in Total Quality Control or Total Quality
Management is discussed and we suggest what and how to teach. It is stated that we
have no department of statistics in the universities in Japan and stressed that applied
statistics is most efficiently taught to those who have their own problems and
motivations to apply these statistical methods. It is then essential for a company to have
their own training systems for the TQM researchers although some extra company
training courses may also be efficiently utilised. As an example we introduce in some
detail the seminars provided by JUSE as well as in-company training systems of Toyota
Motor Corporation and Takenaka Corporation.
1. INTRODUCTION
In this paper we consider a training system for statistical methods in TQC (Total
Quality Control) or TQM (Total Quality Management). Two important aspects of the
system are what and how to teach. The success of quality control in Japan is due to the
company-wide activities, which involve all the staff and departments in a company and
do not just depend on a few experts. It is also due to the natural tendency of the
Japanese to be very diligent, generally clever and willing to devote themselves to the
company.
Each company has a statistics section as a part of the QM promotion section. Ideally
a company should have a TQM promotion team involving several advisors and trainers
who are expert in the area and can teach these statistical methods. However, some
elementary courses may be more efficiently taught in Japan by an external institution
such as JSA (Japanese Standards Association) or JUSE (Japanese Union of Scientists
and Engineers). Such institutions are particularly useful in Japan since there is no
department of statistics in the universities and statistical methods are very poorly taught.
Now I describe five courses to learn the statistical methods that are most useful in
practice:
1. Elementary statistics: Basic idea of variations in data, statistical estimation and
tests, concept of TQM, basic tools such as QC seven tools and control charts;
2. Design of Experiments: One- and two-way layouts, split plot design, hierarchical
...
Batanero, C. (Ed.), Training Researchers in the Use of Statistics, 53-63.
2001 International Association for Statistical Education and International Statistical Institute.
Printed in Granada, Spain
CHIHIRO HIROTSU
STATISTICAL TRAINING OF RESEARCHERS IN TOTAL QUALITY
MANAGEMENT: THE JAPANESE EXPERIENCE
A training system for statistical methods in Total Quality Control or Total Quality
Management is discussed and we suggest what and how to teach. It is stated that we
have no department of statistics in the universities in Japan and stressed that applied
statistics is most efficiently taught to those who have their own problems and
motivations to apply these statistical methods. It is then essential for a company to have
their own training systems for the TQM researchers although some extra company
training courses may also be efficiently utilised. As an example we introduce in some
detail the seminars provided by JUSE as well as in-company training systems of Toyota
Motor Corporation and Takenaka Corporation.
1. INTRODUCTION
In this paper we consider a training system for statistical methods in TQC (Total
Quality Control) or TQM (Total Quality Management). Two important aspects of the
system are what and how to teach. The success of quality control in Japan is due to the
company-wide activities, which involve all the staff and departments in a company and
do not just depend on a few experts. It is also due to the natural tendency of the
Japanese to be very diligent, generally clever and willing to devote themselves to the
company.
Each company has a statistics section as a part of the QM promotion section. Ideally
a company should have a TQM promotion team involving several advisors and trainers
who are expert in the area and can teach these statistical methods. However, some
elementary courses may be more efficiently taught in Japan by an external institution
such as JSA (Japanese Standards Association) or JUSE (Japanese Union of Scientists
and Engineers). Such institutions are particularly useful in Japan since there is no
department of statistics in the universities and statistical methods are very poorly taught.
Now I describe five courses to learn the statistical methods that are most useful in
practice:
1. Elementary statistics: Basic idea of variations in data, statistical estimation and
tests, concept of TQM, basic tools such as QC seven tools and control charts;
2. Design of Experiments: One- and two-way layouts, split plot design, hierarchical
design, orthogonal array, analysis of variance (ANOVA), reliability analysis;
3. Multivariate Analysis: Regression analysis, discriminant analysis, principal
component analysis, correspondence analysis, cluster analysis, contingency tables;
4. Advanced: Beyond ANOVA techniques, graphical modelling, GLM, GAM, Multiple
correspondence analysis, Taguchi method;
5. Applications: Problem solving by integrated use of various statistical methods.
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