Statistical Quality Control
TeachersAOKI, AkioStaffInfo
Grade, SemesterYear 3 1st semest [Department of Mechanical and Precision System, Faculty of Science and Engineering]
CategorySpecial Subjects
Elective, CreditsElective 2credit
 Syllabus Number1G306

Course Description

The following contents will be learned.
(1) Estimation of average value and true value, and confidence level.
(2) Error, variation, and tolerance.
(3) Variance and analysis of variance table.
(4) Orthogonal array and analysis of variance.
(5) Quality Engineering and Experimental Design and Reliability Engineering.
(6) Least square method and orthogonal polynomials.
(7) Evaluation using a small number of samples.
In this lesson, knowledge, techniques, and attitudes regarding DP 2, DP 3, DP 4, and DP 5 will be acquired.

Course Objectives

Students can understand and apply the meanings of various numerical values and numerical analysis methods, necessary for estimating from samples to the state of mass-produced products.

Grading Policy

Your grade in the class will be decided on the evaluate with 100% of the result of the final exam. An explanation will be given after the end of the final exam.

Textbook and Reference

KindTitleAuthorPublisher
TextbookQuality engineering at development / design stageTAGUCHI GenichiJapanese Standards Association
References

Requirements(Assignments)

(1) As preparations for next lesson, please check the meaning of the proper noun and the contents of the relationship shown in the contents of lesson, and come to the class. (90 minutes)
(2) As a review, please solve exercises applied to the items instructed during the lesson, so that you can cope with works in pair as appropriate in the next lesson. (90 minutes)

Note

Use a calculator with functions such as logarithm, average value, and standard deviation. If you want to take Quality Engineering, please take it.

Schedule

1Estimation of average value and true value.
2True value estimation and confidence level.
3Error and variation, and exercises in pairs.
4Variation and tolerance.
5Deviation and variance.
6Variance and analysis of variance table, and exercises in pairs.
7Orthogonal array L16 and L27.
8Analysis of variance table in orthogonal array L18, and exercises in pairs.
9Relationship between Quality Engineering and Experimental Design.
10Relationship between Quality Engineering and Reliability Engineering.
11Least square method.
12Orthogonal polynomials for unequally spaced levels.
13Orthogonal polynomial for equally spaced levels, and exercises in pairs.
14Concept of evaluation with a small number of samples considering variations.
15Summary.