METHODOLOGY OF ARCHITECTURE-ORIENTED SYNTHESIS IN COMPONENT DESIGN OF AEROSPACE COMPLEXES

The monograph is devoted to the problem of complex aerospace technique (AST) design using
modern design tool based on component representation of multilevel AST structure.
The relevance of the research topic is related to the increasing complexity of designed AST
products and requirements to reduce development time and minimize design risks.
The aim of the study is to create a new methodology for architecture-oriented synthesis based on a
component-based representation of a complex AST structure.
In realizing the goal of the research, the tasks of AST component architecture decomposition;
forming a set of components from past experience as well as innovative components; forming
a database and knowledge of past experience based on precedents; creating a technology for
system design of AST multilevel structure; minimizing design risks and ensuring project feasibility
for creating innovative AST products were considered. The methodological basis of the conducted
research is a systematic representation of the component multilevel structure of AST with active
use of the experience of past developments. The competitiveness of new AST products is achieved by
an optimal combination of components from past developments and new innovative components.
By using the system technology of top-down synthesis, a multi-level component structure of AST is
formed. The new AST product uses a multi-level precedent base of proven components from past
AST developments to find the right components. New AST components lead to increased time
and risk in the design and affect the feasibility of the project, which is investigated at all stages
of the AST development lifecycle. Scientific novelty and originality of the study are associated
with the formation of a new system methodology based on the component design of complex
high-tech products AST and the active use of positive experience of past developments.
The mathematical methods used are: system analysis, component design, precedent approach,
project management theory, cluster analysis, methods of qualitative evaluations, optimization
methods, simulation modeling methods. For managers and specialists of research organizations
and industrial enterprises, teachers, students, masters and graduate students of higher
educational institutions.