Abstract:
The article presents a model of the knowledge base for managing the sustainable development of industrial ecosystems. The knowledge base is a semantic model that describes the industrial ecosystem and allows answering such questions of the subject area, the answers to which are not explicitly present in the base. The model, based on the ontological approach, integrates data on the interaction of ecosystem participants, processes, products and resources, and is aimed at optimizing these interactions to achieve sustainable development. The work identifies the classes of the model (the main entities of the subject area) and establishes the relationships between them, provides a composition of the functional modules of the knowledge base, which provides a fairly complete picture of industrial ecosystems and sustainable development management processes. The article presents testing of the model for assessing the dynamics of ecosystem sustainability based on the interaction of three companies. Modeling takes into account the influence of resources and external factors, which allows calculating the overall index of ecosystem sustainability. The results showed that companies with a high level of cooperation demonstrate a significant increase in resilience. The conclusion of the work emphasizes the need for further improvement of the model, taking into account real data and additional factors of uncertainty and variability inherent in industrial ecosystems.
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