Browsing by Author "Saka, A.J."

Now showing 1 - 3 of 3
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    Construction of Row-Column Designs from Nested Balanced Incomplete Block Designs
    (National Mathematical Association, 2019) Saka, A.J.; Adeleke, M.O.; Adeleke, B.L.
    Designs that possess the ability to remove heterogeneity in the experimental material, have received considerable attention in the literature. By convention, the parameters of row-column designs constructed in this paper are v, b, p, q which respectively denote the number of treatments, rectangular blocks, rows and columns; and indeed, each of the rectangular blocks has nested within it, p rows and q columns. Designs of series I and II which are block designs are re-configured in a systematic manner in this paper to give block designs with the ability to remove heterogeneity in multiple directions, namely row and column; and these row and column are also nested within each of available rectangular blocks. All the designs constructed are balanced with respect to two of the three components of the resulting designs namely, rectangular block and, column. This is consequently reflected in the concurrence of treatment pairs that were obtained for the row (λijr), column (λijc), and rectangular block (λijb) components of the designs respectively.
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    Dual Statistical Quality Control Charts with Table of Quality Determinant in Manufacturing Industries
    (International Journal of Information Processing and Communication (IJIPC), 2019-05) Saka, A.J.; Izekor, J.A.; Akeyede, I; Adeleke, M. O.; Adeleke, B. L.
    Statistical Quality Control (SQC) techniques have been widely recognized as effective approaches for monitoring both manufacturing and service processes with respect to the use of either variable or attribute charts in a particular process. In this study, both variable and attribute charts were employed to evaluate the performance of a manufacturing process. The variables under study are the original gravity, CO2, PH, dissolved oxygen, real extract, pasteurized unit, colour, alcohol and temperature. The variable chart, or rather X bar chart), was employed, to obtain the Table of Deterministic Quality Conformance Status which consequently determined the number of active variables that require close monitoring for achieving better overall conformance. The attribute chart, or rather P chart, was eventually constructed for the validation of the process based on the suspected active variables. This study reveals that the combinatorial based charts provided better process monitoring, once the active variables that serve as primary quality determinants are properly controlled. This eventually leads to the conformance of the entire process.
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    On the Symmetric Balanced Incomplete Block Designs from Mutually Orthogonal Latin Squares
    (Islamic University, Uganda, 2020-05-06) Saka, A.J.; Adeleke, M.O.; Adeleke, B.L; Akeyede, I.
    A set of Mutually Orthogonal Latin Squares (MOLS) of order 7 gives rise to series of incomplete block designs, such as; balanced incomplete block designs (BIBD), and partially balanced incomplete block designs of two, three, four, five and six associate classes, that is PBIBD(k) with k =2,3,4,5 and 6. Two distinct Near-Resolvable BIBDs that are symmetric are equally obtained. All the aforementioned designs are constructed via orderly combinations of off-diagonal elements of a complete set of mutually orthogonal Latin squares (MOLS).