РАЗРАБОТКА МНОГОУРОВНЕВОЙ СИСТЕМЫ ПОКАЗАТЕЛЕЙ ДЛЯ ОЦЕНКИ ЦИФРОВОЙ ЗРЕЛОСТИ ПРЕДПРИЯТИЙ ПО ПРОИЗВОДСТВУ МИНЕРАЛЬНЫХ УДОБРЕНИЙ

Abstract:
The relevance of the study is due to the lack of industry-specific, technologically independent and metrologically sound tools for assessing digital maturity for enterprises producing mineral fertilizers. Existing universal models do not take into account the specifics of continuous chemical and technological processes, and domestic methods are of a macro-level nature, which leads to unsystematic investments and a decrease in the effectiveness of digital transformation. The purpose of the article is to develop a multi–level system of indicators that allows not only to provide an integral quantitative assessment, but also to identify structural imbalances in the development of technological domains. The scientific novelty lies in the formalization of a nonlinear progressive relationship between maturity levels through the introduction and empirical justification of the β coefficient, as well as in the development of an ESG-oriented approach by including measurable social (injury prediction) and managerial (completeness of disclosure of non-financial reporting) KPIs in the system. The methodological base includes the ontological modeling of an enterprise as a cyberphysical system, the method of analyzing hierarchies by T. Saati to determine the weighting coefficients of domains, as well as mathematical modeling to introduce the coefficient of progressive dependence β, which formalizes the nonlinear relationship between the levels of digitalization. As a result of the research, the authors have formed an ontological model that decomposes the enterprise into five technological domains (Production, MRO, Logistics, Security/Ecology, Management) and three end-to-end levels of digitalization (data, analytics, automation). Based on the ontological model, a compact matrix of 15 quantitative, verifiable key performance indicators (KPIs) linked to the Russian technology stack has been developed. An algorithm for calculating the integral digital maturity index (DMI) is proposed, taking into account the progressive dependence of levels through the coefficient β. The testing of the model at the conditional Agrochem enterprise confirmed its diagnostic value, making it possible to identify an imbalance between developed security domains and lagging logistics. The practical significance of the results obtained lies in the creation of an open, technologically independent tool that allows enterprises to independently audit their digital status, perform industry benchmarking, and create strategic roadmaps for digital transformation, taking into account the identified structural imbalances.