MODELING DIGITAL TWINS OF BUSINESS PROCESSES AS A TOOL FOR MANAGING COMPANY EFFICIENCY

Abstract

This article examines the concept of digital twins of business processes as a modern tool for enhancing company management efficiency. The relevance of using digital twins is justified within the context of digital transformation, as traditional methods for modeling and optimizing business processes no longer provide the required level of flexibility and adaptability to rapid changes in the external environment. A digital twin of a business process is defined as a dynamic virtual model of a real organizational process that integrates data from ERP and CRM systems, Internet of Things (IoT) technologies, cloud platforms, analytics tools, and artificial intelligence. This study shows that digital twins combine modeling, forecasting, and analytical tools, enabling companies to quickly assess process status, predict the consequences of management decisions, and adapt to changes in internal and external environments.
The advantages of applying digital twins in management systems are analyzed, including scenario forecasting, bottleneck identification, resource optimization, operational cost reduction, and increased productivity. The role of digital twins in improving the accuracy of managerial decisions is highlighted, as they allow for evaluating the economic effect of implementing innovations prior to their practical application. The methodological approach to modeling digital twins is described, which includes data collection and integration, the development of virtual models, and the use of artificial intelligence algorithms for scenario analysis. Consequently, digital twins serve as a tool for reducing risk and increasing business resilience under conditions of uncertainty and dynamic markets.
Examples of potential applications for digital twins of business processes in various sectors, including manufacturing, logistics, finance, agriculture, and education, are provided. The study explains how digital twins can be used to optimize supply chains, plan resources, manage projects, and improve interdepartmental efficiency. The implementation of digital twins is identified as a strategic step toward forming adaptive and competitive companies capable of effectively responding to the challenges of the digital economy.