Open AccessDETERMINATION OF SUSTAINABLE LEVELS OF DESIGN ALTERNATIVES SELECTION IN THE WORKFLOW CAP SYSTEM
Author(s) -
С. Г. Митин,
P. Yu. Bochkarev,
V. V. Shalunov,
I. A. Razmanov
Publication year - 2021
Publication title -
vektor nauki tolʹâttinskogo gosudarstvennogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 2712-8458
pISSN - 2073-5073
DOI - 10.18323/2073-5073-2021-3-48-56
Subject(s) - workflow , automation , selection (genetic algorithm) , production (economics) , computer science , task (project management) , process (computing) , work (physics) , function (biology) , quality (philosophy) , industrial engineering , genetic algorithm , set (abstract data type) , operations research , systems engineering , engineering , database , mechanical engineering , artificial intelligence , philosophy , epistemology , evolutionary biology , machine learning , biology , programming language , operating system , economics , macroeconomics
The development of the mechanical treatment workflow CAP system is aimed at the solution of a crucial task of reduction of terms and the improvement of quality of multiproduct machining manufactures work preparation, as the existing workflow CAP systems have not got the possibility of fast response to changes in a production situation often arising within the multiproduct manufacture. The authors of this paper developed the workflow CAP system, which contains the requirements of the design activity full automation, design solution multivariance, and the feedback with the engineering process implementation subsystem. The paper deals with the development of a mathematical model and the technique of searching for sustainable levels of selecting design alternatives depending on the production situation for the whole design procedures of the workflow CAP system. The authors prove the application of a mathematical tool of genetic algorithms; describe the mathematical model using its terms. As a gene, the level of selection in a separate project procedure is specified. A chromosome is a set of genes according to the project procedures. The objective function determines the minimum total time of processing of the specified nomenclature of parts based on the ranges of gene aggregates resulting from crossing and mutation operations. The result of the work is the mathematical model and the technique for identifying the sustainable levels of selection in each project procedure ensuring the possibility of self-adjustment of the workflow CAP system depending on the production situation.