The monograph is devoted to the problem of complex aerospace technique (AST) design usingmodern design tool based on component representation of multilevel AST structure.The relevance of the research topic is related to the increasing complexity of designed ASTproducts 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 acomponent-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; forminga database and knowledge of past experience based on precedents; creating a technology forsystem design of AST multilevel structure; minimizing design risks and ensuring project feasibilityfor creating innovative AST products were considered. The methodological basis of the conductedresearch is a systematic representation of the component multilevel structure of AST with activeuse of the experience of past developments. The competitiveness of new AST products is achieved byan 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 isformed. The new AST product uses a multi-level precedent base of proven components from pastAST developments to find the right components. New AST components lead to increased timeand risk in the design and affect the feasibility of the project, which is investigated at all stagesof the AST development lifecycle. Scientific novelty and originality of the study are associatedwith the formation of a new system methodology based on the component design of complexhigh-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, optimizationmethods, simulation modeling methods. For managers and specialists of research organizationsand industrial enterprises, teachers, students, masters and graduate students of highereducational institutions.
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