Year: 2024
Type: article
Abstract: Subject matter: models for forming the logistics infrastructure for complex equipment recycling. The work aims to create optimization models that consider key factors in forming recycling infrastructure and combine centralized and decentralized elements to enhance the efficiency of this process. Tasks: analyze modern approaches to organizing complex equipment recycling; identify criteria and factors for optimizing recycling infrastructure; develop a multi-level recycling infrastructure; formulate optimization models for recycling infrastructure, taking into account enterprise production capacities, logistical costs, environmental impact, and other factors. Methods: a systems approach, structural modeling, optimization models. Research results: approaches to organizing recycling infrastructure were analyzed: centralized, distributed, and combined; the selection of a combined approach for creating logistics infrastructure for complex equipment recycling was justified; a structural multi-level model of recycling infrastructure was developed with a lower level (sorting enterprises), middle level (processing enterprises), and upper level (organizational management); mathematical models for optimizing recycling infrastructure were formulated, considering enterprise production capacities, logistical costs, and environmental impact. The conclusions: proposed structural multi-level model of complex equipment recycling infrastructure combines the advantages of centralized and decentralized management, ensuring flexibility, system reliability against external influences, cost minimization, and sustainable process control. The application of the developed optimization models allows for consideration of enterprise production capacities, logistical costs, environmental impact, and other factors to find the most effective configuration of recycling infrastructure. Implementation of the proposed recycling infrastructure will ensure the formation of coherent interaction between government bodies, enterprises, public organizations, and international partners.
Authors: Maksym Kikot, Julia Malieieva
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4403870091