Author(s) | Collection number | Pages | Download abstract | Download full text |
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Kudriashova A. V., Senkivska N. Ye., Senkivskyi V. M. | № 2 (59) | 22-29 |
A matrix of paired comparisons of factors affecting the quality of design of post-printing processes has been constructed on the basis of the scale of the relative importance of objects on Saati, where R1 are the figures of the edition; R2 are structural features; R3 are operating conditions; R4 is a type of production; R5 are materials; R6 is a type of equipment; R7 are technological and economic calculations; R8 is a flow chart. The number of factors being compared determines the order of the matrix. Importance estimates are established by experts. Using the software “Simulation modelling in system analysis by binary comparisons”, the components of the principal eigenvector of the pairwise comparison matrix, the normalized vector, the normalized vector of the estimation of the consistency of the factors’ weights, the eigenvector of the pairwise comparison matrix, the maximal value of the vector of the pairwise comparison matrix, the consistency index and the consistency ratio. The adequacy of the solution of the problem by performing the corresponding inequalities has been checked. The normalized vector of the matrix is adapted for further visualization by multiplying each component by the corresponding coefficient. The table of weight values of design factors of post-printing processes has been formed. A comparative histogram and a graph of the weighted values of the original and normalized vectors have been constructed. An optimized model of priority factor influencing the quality of design of post-printing processes has been synthesized. The optimization helps to obtain specified weighted values of the factors of the studied process on the basis of the method of hierarchy analysis, which involves the construction of a matrix of pairwise comparisons, the calculation of components of its principal eigenvector and their normalization, as well as the verification of results by key criteria. The conclusions have been formed.
Keywords: design of postprinting processes, factor, optimization, matrix of pairwise comparisons, vector, model.
doi: 10.32403/1998-6912-2019-2-59-22-29