Aerospace Technic and Technology

The scientific and applied problem of choosing suppliers of components, materials, and raw materials (CMRM) for the production of high-tech products (aircraft construction, shipbuilding, etc.) with a complex multi-level component architecture of the product is posed and solved. Much attention is paid to the study of long logistic supply chains for CMRM, considering the heterogeneous transport network (aviation transport, rail transport, road transport, etc.) with the transition of goods from one highway to another. The relevance of the topic of the publication is related to the study of the influence of the remoteness of suppliers and the heterogeneity of the transport network on the timing, costs, and risks of delivering CMRM to the production of high-tech products, considering the long supply chains that ensure the interaction between the supplier and the manufacturer. The research solves the problem of a rational choice of suppliers, considering the logistics of CMRM delivery in a heterogeneous transport environment. Due to the complexity of the problem being solved, it is complex and includes the following research stages: selection of suppliers, considering the component architecture of a complex product; formation of a logistics chain for the delivery of CMRM; a study of the effect of cargo transshipment in a heterogeneous transport environment. The solution of the second problem is associated with the choice of optimal logistics chains for the delivery of CMRM from the supplier to the manufacturers. The solution to the third problem is based on modeling the movement of goods, considering transshipment and possible risks. Mathematical methods used system analysis to represent the component architecture of a complex product; integer (boolean) programming to optimize the main logistic indicators; agent-based simulation modeling for the study of logistics chains for the delivery of goods with transshipment and possible risks (climatic, pandemic, terrorist, etc.).

distributed manufacturing; component suppliers; logistics supply chain; transshipment; supply risks; optimization; agent-based modeling

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