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TQM Model of Elements-Deployment Table Developed from Quality ...

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Chapter 5 Comparison between Criterias <strong>of</strong> each <strong>Quality</strong> Award<br />

This chapter is to identify <strong>TQM</strong> <strong>Quality</strong> Award Element Comparison Matrix<br />

(synthesis) data developed in Chapter 4, and Criterias <strong>of</strong> each <strong>Quality</strong> Award are<br />

quantitatively compared by using the Multivariate Analysis, and the feature is clarified.<br />

The content <strong>of</strong> this chapter is based on Koura and Yoshizawa [1].<br />

5.1 Purpose <strong>of</strong> Research<br />

The past comparison researchs on each Award made the contrast <strong>of</strong> announced<br />

Criteria compared or the one to locate other Award based on seven major categories <strong>of</strong><br />

the MBNQA, as for the common standard (It is said the anchor) that became the base,<br />

was insufficient for the comparison <strong>of</strong> system <strong>of</strong> a lot <strong>of</strong> Award and the <strong>TQM</strong> model <strong>from</strong><br />

the early research result <strong>of</strong> Para. 4.2.<br />

Then, the overall <strong>TQM</strong> <strong>Elements</strong> <strong>Deployment</strong> <strong>Table</strong> used for comparison as a common<br />

anchor according to the procedure described by Para. 4.4 is prepared. It was organized<br />

matrix table as vertical (line side <strong>of</strong> left) is ssigned <strong>TQM</strong> Element <strong>Deployment</strong> <strong>Table</strong><br />

and holizontal (row side <strong>of</strong> top) is each <strong>Quality</strong> Award 1st level elements, and each<br />

crossing cell are individually evaluate their Relation Degree (Relation Strength) by<br />

quantitative points. Then, this Relation Degree and Distribution Evaluation Points<br />

(name at the following) <strong>of</strong> each <strong>Quality</strong> Award are multiplied each other, which is<br />

accumulated for numerical multivariate data (as “Relationship Index” in cell <strong>of</strong> <strong>TQM</strong><br />

Qualitity Award Element Comparison Matrix). Now to study further, this qualitative<br />

and subjective <strong>TQM</strong> Element <strong>Deployment</strong> <strong>Table</strong> are evaluated by objective and<br />

statistical stand-points, these <strong>TQM</strong> <strong>Elements</strong> are restructuring by Cluster Analysis,<br />

and finally 180 × 46 <strong>TQM</strong> Element <strong>Quality</strong> Award Element Comparison Matrix<br />

(synthesis) is prepared.<br />

In this chapter, after this matrix data is analysed by the Principal Factor Analysis<br />

(Yanai [2]), factor structure <strong>of</strong> each Award is clarified, and the feature <strong>of</strong> each Award is<br />

clarified <strong>from</strong> the difference <strong>of</strong> the factor structure. <strong>Quality</strong> Award Criteria is used not<br />

only for the examination for recognition but also the self-assessment at the<br />

management level <strong>of</strong> the organization and the ideal way is confirmed, and the<br />

directionality is referred to it. Moreover, the <strong>Quality</strong> Award Criteria is as always<br />

changeable. Then, it is expected this research will contribute for the development <strong>of</strong><br />

<strong>TQM</strong> in the future through identifying inherent or potential factor structure that exists<br />

inside each Award by the comparative study approach.<br />

Based on the above, the following stated research subjects were established;<br />

Research subject 1: Is it possible to mutually compare between each <strong>Quality</strong> Award by<br />

synthesis and systematized <strong>TQM</strong> <strong>Elements</strong>?<br />

Research subject 2: Is it possible for identification <strong>of</strong> each features and characteristics<br />

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