Models of forming logistics infrastructure for complex equipment recycling

Subject matter: models for the formation of the logistics infrastructure for complex equipment recycling, taking into account the two-stage processing system and the multicomponent composition of secondary raw materials. This study aims to develop a model for the formation of a logistics infrastructure for complex equipment recycling enterprises, the implementation of which will reduce transportation costs of secondary raw materials and infrastructure development expenses. Objectives: to investigate the current state and challenges of complex equipment recycling in Ukraine and abroad; to identify the characteristics of logistics processes in complex equipment recycling; to develop a model for the formation of recycling logistics infrastructure for complex equipment. The following methods were used during the research: mathematical modeling, location-allocation methods, and systems approach. Research results: the current state and challenges of complex equipment recycling have been analyzed, including infrastructure deficiencies, a low level of sorting, and uneven distribution of processing facilities; approaches to solving the facility location problem for recycling infrastructure have been reviewed; a two-level structure of the complex equipment recycling system has been developed, consisting of a network of local collection and sorting centers and processing enterprises; a mathematical model for forming the logistics infrastructure has been developed, considering production capacities, transportation costs and the multicomponent nature of resources. The conclusions state that the proposed optimization model for the logistics infrastructure of complex equipment recycling considers a two-stage processing sequence, from collection and sorting to final recycling. The model integrates economic, spatial, and technological factors, enabling the minimization of total transportation and infrastructure development costs. The application of the proposed model ensures effective planning of the recycling network, taking into account processing capacities, logistical routes, and the volume of different types of secondary raw materials.