Journal of The Japanese Society for Quality Control
Online ISSN : 2432-1044
Print ISSN : 0386-8230
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Volume 10, Issue 2
Displaying 1-9 of 9 articles from this issue
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Contributed Paper
  • The Selection of a Optimum Screening Position in a Manufacturing Process
    Sumio MAENO
    Article type: Contributed Paper
    1980 Volume 10 Issue 2 Pages 30-41
    Published: April 15, 1980
    Released on J-STAGE: March 12, 2019
    DOIhttps://doi.org/10.20684/quality.10.2_30
    JOURNAL RESTRICTED ACCESS
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    Manufacturing processes, in general, consist of a series of dependent processes, where the output from one sub-process serves as the input for the succeeding sub-process. When each sub-processes stage generates a differing percentage of defectives, it is often advantageous to have a screening process between certain appropriate individual sub-processes. The most favorable position of the screening process may vary according to the cost of added parts or material at each process, the occurrence percentage of defective at each process, screening cost, and the selling price of the product. It may also depend on whether the overall process is in a state of "excessive capacity" (when the manufacturing capacity exceeds the demand for the products), or, on the contrary, in a state of "excessive demand" (when manufacturing capacity is exceeded by the demand for the product). This paper is concerned with the optimal number and position of screening processes, with respect to maximum profit, in terms of a profit function which covers the total manufacturing process as a system, particularly when the overall manufacturing process is in a state of "excessive capacity".
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  • Variation Diminishing Spline Function Representation of the Probability Density Function and its Characteristic Function
    Kiyoshi TSUKAKOSHI
    Article type: Contributed Paper
    1980 Volume 10 Issue 2 Pages 42-50
    Published: April 15, 1980
    Released on J-STAGE: March 12, 2019
    DOIhttps://doi.org/10.20684/quality.10.2_42
    JOURNAL RESTRICTED ACCESS
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    This paper is related to represent the probability density function of the population effectively from the large sample by variation diminishing spline function which have "shape-preserving properties", and to show its characteristic function. Variation diminishing spline functions have the advantage of "shape-preserving properties", and they are represented by a few knots and nodes moreover. Variation diminishing spline function is obtained to approximate the polygonal function which is a solution of a system of linear equations by using the theory of the generalized inverse matrices. In numerical examples, the figures will show that the probability density function represented by variation diminishing spline function how faithfully reproduce the probability density function of the population.
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Technical Note
Case Method
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