Rules for the Selection of Descriptions of Components of a Digital Passport Similar to the Production Objects

Abstract

In this paper, it is shown the function of technologies, which ensure the support of different stages of a product life cycle and the presentation of production objects in digital environment. For this purpose on enterprises can be created a digital passport, based on requirements and experience examination of similar industrial enterprises. Whereas a digital passport contains significant data amount, it implies the application opportunity in order to take timely project-based and managerial decisions at any moment. Thus, it is necessary to ensure the content selection (also known as component description) of a digital passport in accordance with parameters of analysed life cycle stage that is verbally defined.

The problem statement is formulated, according to which it is realized in the form of a selection of descriptions of a digital passport components given by parameters and in the form of a selection of descriptions specified by the parameters of the life cycle stage. Since the passport contains a greater number of parameters than that which characterizes the analyzed stage of the life cycle, their analysis is performed first. Further solution of the problem is performed in accordance with the elements of the theory of fuzzy sets. Initially, matrices of pairwise comparisons are formed, allowing to determine how much one or another parameter of a component or stage of the life cycle corresponds to the analysed component of a digital passport. Further, the eigenvalues and vectors of matrices are determined. The obtained values of the eigenvectors are the values of the membership functions characterizing the elements of fuzzy sets. This will allow using the obtained results to select component descriptions when generating a design solution by performing simple arithmetic operations. Formed solutions will allow to ensure the similarity of the production objects in the digital environment at the greatest extent.