Methodological provisions for determining the maturity level of an industrial enterprise's energy management system

Relevance. The transition of industrial enterprises to technological leadership requires not only the declaration, but also the practical implementation of an energy efficiency policy. However, empirical evidence indicates a gap between strategic goals and actual organizational practice: formal implementation of standards (ISO 50001 / GOST r ISO 50001) often does not guarantee the effectiveness of energy management systems. The lack of objective tools for diagnosing the ability of EnMS to systematically realize the potential of energy efficiency makes the problem of methodological developments in this area particularly significant for modern management science and practice. The purpose is to develop methodological guidelines for the integrated assessment of the maturity level of energy management systems of an industrial enterprise.
Objectives: analysis of existing maturity models; models; development of an algorithm for diagnosis and calculation of the indicator; interpretation of the results for the development strategy.
Methodology. The study is based on a comparative analysis of approaches to maturity models (GOST r ISO 50005, models by N. Finnerty, E. N. A. N. Kirikova). System analysis, synthesis, analogies and qualimetry are applied.
Results. The limitations of existing models are revealed: the qualitative nature of assessments, fragmentation, and poor adaptation to the Russian environment. An author's six-level model of maturity of energy management systems has been developed, covering strategic, organizational, instrumental, and cultural-behavioral aspects. A diagnostic algorithm is proposed that implements the PDCA cycle, including the calculation of an integral index and the construction of a maturity profile for visualizing "bottlenecks". The principle of the limiting level is substantiated.
Conclusions. The developed provisions include a diagnostic tool and a methodological basis for the transformation of assessment into a mechanism of organizational learning and adaptive management. They make it possible to quantify the level of development of energy management systems, identify system constraints, and create a sound development roadmap.

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