Developing a toolbox for evaluating enterprise performance in the conditions of digital production

Digital economy: theory and practice

The article describes implementing a toolbox for evaluating the enterprise performance in the conditions of digital production. A flexible system integrated into the information environment is offered to industrial enterprises of small- or large-scale production. It is naturally customizable for the specifics of enterprise management and implemented in a WEB-oriented environment. The novelty of the proposed system lies in its supported approach based on analysis of the system of key performance indicators (KPI), business processes and organizational structure of the enterprise. Data analysis is performed programmatically taking into account the statistical accumulated information with the participation of responsible persons and experts. The toolbox uses parametric description for the calculation of indicators and statistical methods for analyzing the mutual influence of indicators. To test the proposed approach, the study presents a variant partially applying the approach to a transport engineering object: Aviastar-SP JSC, an aircraft manufacturer. We have identified 17 groups of key performance indicators determining the company’s performance for Aviastar-SP. In turn, the main internal and external factors that most significantly affect the key indicators according to experts have been determined. A graph of correlations was constructed within the framework of statistical analysis, giving a graphical interpretation of the mechanism of influence on key indicators. This solution is convenient in practical use, being a simple and clear model for top managers. To describe the KPI within the framework of the infological model, the indicators are presented in the form of a hierarchical tree. The assessment tool provides flexible configuration of the KPI system to the requirements of a particular enterprise (formation of the structure of key indicators); determining the interrelations between indicators on the basis of statistical data; calculating integral indicators and obtaining slices of the indicator values for the selected reference books or measurements; control over the actual indicator values and identifying deviations from the planned values; forecasting changes in indicator values based on statistical data and expert opinions. Since enterprises have their own information infrastructure, the proposed performance assessment toolbox should become an add-on (integration module) for information systems that have already been implemented, providing efficient management and flexible adaptation of the management system to the changing conditions of external and internal environments.