When fitting two kinds of components in a selective assembly process, it is economically important to make the number of matched pairs as large as possible. The problem is equivalent to that of obtaining a maximum matching in the corresponding bipartite graph. Matching ratio attained by maximum matching algorithm in various situations is examined and compared with that of grouping metheod. It is concluded that the algorithm gives much higher matching ratio in most of the cases.

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It is necessary to check an outlier or outliers on data processing for estimating population mean from analytical observations. For this purpose, there are eleven kinds of checking procedures prepared as ISO and JIS standard by our survey. In this paper, it was made clear as follows: 1) The eleven checking procedures specified in ISO standards and JIS can be systematized as such a set of P-series and its variation which consist of the simplest procedure and its supplementary procedure to make up with its weakness. 2) Among the procedures, under the model where one outlier exists in a set of n observations initially collected, the one which is most unlikely to be effected by an outlier is a procedure P(0;n) without adding any observations and the procedure P(0;n) could not be generally imploved. 3) The procedure P(0;n) is also the one less effected by an outlier when the probability for the occurrence of an outlier is large, in such cases as an outlier occurs with a certain probability a) by a set. b) by an observation.

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This paper presents a relationship measure between a column term and a row term in a two-way table such as a quality table and a policy deployment table by using AHP with 1 of the maximum weight value and incomplete pairwise comparisons. A proposed method is applied to a deployment process of required quality. The results are as follows. 1) The relation measure between a column term and a row term in a quality table is evaluated quantitatively with introduction of AHP in which the maximum weight equals 1 although it has been evaluated with rank orders such as from 5 to 1 of grading method corresponding to a mark such as ◎, ○, △. 2) Although same grade has been generally regarded as same rank without consideration of defference of importance between two terms, this paper presents an example in which same grade of different terms has different relation measure.

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