Metallurgical enterprises are among the most capital-intensive industries, with high maintenance and repair costs for equipment. The proper management and efficient operation of equipment directly affect product output, safety, and economic performance indicators. The current study aimed to develop key performance indicators for engineering services, emphasising the systematisation of indicators into technical, organisational, and economic groups. This enabled the authors to address the primary challenge of evaluating the efficiency of maintenance and repairs in metallurgical enterprises using the developed key performance indicators. The study analysed and classified thirty-six performance assessment indicators. Using the Delphi expert assessment method and the subsequent step-by-step analysis of weight assessment coefficients via the fuzzy Step-Wise Weight Assessment Ratio Analysis method, the key factors for the operational control of the maintenance and repair efficiency of metallurgical equipment were identified. These factors were categorised into three groups. The first group included f ive technical indicators; the second, six organisational indicators; and the third, three economic indicators of the efficiency of technical maintenance and repairs of metallurgical equipment. Analysis of the obtained rating of key performance indicators showed that the most significant indicators were complex (generalising) indicators in each group. The key indicators in each group were determined to be: the technical readiness coefficient of equipment; the overall efficiency indicator of equipment; and the cost intensity of technical maintenance and repairs of equipment. Based on the indicator ratings, recommendations were developed for compiling a compliance matrix and priority measures in the event of negative dynamics in each group of indicators. The practical significance of this work lies in providing technical maintenance and repair specialists at metallurgical enterprises with criteria for objectively assessing the current state of equipment management, thereby enabling improvements to be made to the repair system
Biletskyi et al. (Wed,) studied this question.