Journal of The Japanese Society for Quality Control
Online ISSN : 2432-1044
Print ISSN : 0386-8230
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Invited Article
  • Functional Safety ― Concepts and Standards
    Nobuyasu KANEKAWA, Makoto ITO
    Article type: Invited Article
    2023 Volume 53 Issue 4 Pages 192-196
    Published: October 15, 2023
    Released on J-STAGE: February 14, 2024
    DOIhttps://doi.org/10.20684/quality.53.4_192
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    　It may not be an exaggeration to say that functional safety is now an essential subject for all engineers. However, functional safety is difficult to understand by anyone other than safety experts. One of the reasons for this is that it is often talked about in the system of international standards rather than in the academic system, and people who do not know the basic matters tend to have no idea what they are talking about even if they read the standards.
    　The authors have written a textbook on functional safety with the aim of helping understand the concept of functional safety from the basics under this social context. This article extracts the essence of the textbook, presents the basic points related to functional safety, and introduces its recent trends.
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Report of Special Interest Group
  • Recent Trends in Service Excellence and Production Innovation
    Kenichi NIIKURA, Toshiya ASABA, Takeshi CHIKUSE, Makoto ITOH, Masamits ...
    Article type: Report of Special Interest Group
    2023 Volume 53 Issue 4 Pages 197-206
    Published: October 15, 2023
    Released on J-STAGE: February 14, 2024
    DOIhttps://doi.org/10.20684/quality.53.4_197
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    　Through the series of meetings for knowledge sharing, the “ Service Excellence Division ” and the “ Production Innovation Division ” of JSQC have been jointly working on identifying the items to be addressed for better contribution to the customer value creation. In this special issue, we briefly summarize our recent activities in the Divisions in order to encourage the JSQC members to join our activities.
    　We focus are as follows.
    - Continuation and acceleration of “ Plan - Do - Check - Act cycle ”.
    - Continuation of customer relation and customer journey.
    - Use cases of “ Pattern Language”.
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Report of Research Group
Laboratory Topics
  • Introduction of Kajihara Laboratory, Shizuoka University
    Chisato KAJIHARA
    Article type: Laboratory Topics
    2023 Volume 53 Issue 4 Pages 212-216
    Published: October 15, 2023
    Released on J-STAGE: February 14, 2024
    DOIhttps://doi.org/10.20684/quality.53.4_212
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    　This paper introduces the Kajihara Laboratory in the Faculty of Informatics, Shizuoka University.In Chapter 2, I introduce the Department of Behavioral Informatics, Faculty of Informatics, Shizuoka University. The Faculty is located on the Hamamatsu Campus. In Section 3, I describe the research topics covered in our laboratory. Research topics include healthcare quality and safety, disaster healthcare management, and Kansei quality. In chapter 4, I introduce our laboratory activities.Specifically, I describe students belonging to the laboratory, seminars, graduation research themes and collaborations, participation in research groups, and laboratory events.
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Overview of the Lecture
Reportage
Research Papers
Contributed Paper
  • Principal Variable Section Criteria using Inverse Partial Correlation Matrix and the Characterization based on Graphical Models
    Haruka YOSHIDA, Manabu KUROKI
    Article type: Contributed Paper
    2023 Volume 53 Issue 4 Pages 239-251
    Published: October 15, 2023
    Released on J-STAGE: February 14, 2024
    DOIhttps://doi.org/10.20684/quality.53.4_239
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    　Principal component analysis (PCA) is one of the powerful statistical tools to transform a large number of original variables into a smaller set of variables that still contains most of the correlation information in statistical data. However, note that the principal components are formulated as the linear combinations of all the original variables. Thus, when we wish to evaluate the principal components for individuals of interest, it is necessary to observe all the original variables of the individuals. To solve the problem, McCabe (1984) proposed the principal variable (PV) selection criteria from the perspective of principal component analysis, and de Falguerolles and Jmel (1993) reviewed the PV selection problems from the viewpoint of Gaussian graphical modeling. However, McCabe (1984) or de Falguerolles and Jmel (1993) did not discuss the mathematical properties of their proposed PV selection criteria. Taking it into account, this paper proposes novel PV selection criteria based on the inverse partial correlation matrix from the perspective of McCabe (1984) and de Falguerolles and Jmel (1993), and clarifies the mathematical properties in terms of the undirected independence graph.
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  • Cross-array Designs without Direct Product Structure
    Satoshi AOKI, Masayuki NORO
    Article type: Contributed Paper
    2023 Volume 53 Issue 4 Pages 252-261
    Published: October 15, 2023
    Released on J-STAGE: February 14, 2024
    DOIhttps://doi.org/10.20684/quality.53.4_252
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    　For the experiments for 6 controllable factors and 3 noise factors, each with 2 levels, use of 32 runs cross-array designs with direct product structure is widespread. In this paper, we relax this direct product structure and show 24 runs cross-array design without direct product structure. This design is obtained by numerical algebraic computation in previous work. In this paper, we characterize the structure of the design, show the strategies of modeling, and illustrate how to construct ANOVA tables by examples.
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