Abstract
An architecture model is proposed and the functionality, logic and mechanism of operation of an innovative enterprise management system based on its digital virtual profile, the so-called digital twin of the enterprise (EDT), are considered. DТ technology involves the creation and utilitarian use of a dynamic and synchronized virtual copy of the original enterprise in real time according to various metrics. This virtual digital copy and the technology embedded in it provide permanent and dynamic updating of the most comprehensive array of internal operational and external data about the enterprise, its business and critical factors influencing them. The presented architecture of the proactive management system (PMS) of the enterprise involves close integration and interaction of the EDT with the "knowledge graph" (KG) and the artificial neural network (ANN) within a certain synergistic model "EDT + KG + ANN". Such an approach to organizing the process of substantiating management and business decisions allows solving the problems of effective enterprise management, taking into account its goals and functions, business structure and strategic potential, all external and internal relationships, success factors and risks. The need to apply new approaches to enterprise management organization based on big data and tools for their structuring, systematization, contextualization, normalization and analytical processing, including the use of EDT, KG and ANN technologies, is due to the fact that in the conditions of the DCh, which are the conditions of doing business in the modern world, analytics and management of complex multifunctional business systems, in particular such as an enterprise, should primarily focus on identifying probable risks and their limits, as well as on ensuring the flexibility and readiness of these business systems (enterprises) to sudden possible disturbances in the DCh business environment. The synergistic architecture of the PSU proposed by the authors provides a systematic approach to solving the problem of efficiency and consistency of enterprise management, its business areas and component business processes in accordance with changes in the situation in the external business and macro environment around this enterprise. This is ensured by the integration of functional and technological capabilities of the EDT, the KG and the ANN regarding: a) monitoring, collection, accumulation and analysis of large arrays of the most necessary for solving management tasks of various aspects of information about the enterprise, as a complex object of management and a business entity, and about the environment of its functioning; b) modeling of various scenarios of the development of events in the business and macro environment of the enterprise; c) simulation of the management reaction to them (these scenarios) from the side of the enterprise by "playing" various options for management, both strategic and tactical-operational, decisions at different levels of enterprise management, and assessing the consequences of these decisions for a particular business in particular and the enterprise as a whole, without real (business, financial or material) damage to the enterprise from unsuccessful or suboptimal decisions or actions; d) identifying potential threats, assessing their risks, and ultimately generating recommendations for effective alternative management solutions that will help minimize these risks and permanently maintain the enterprise's KPIs within optimal acceptable limits for a long period of time.
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