METHODOLOGY OF SYSTEM MODELING OF ADAPTIVE MANAGEMENT OF MACHINE-BUILDING PRODUCTION

The Model Paradigm of digital control in production systems is based on the intelligent integra-tion of virtual and real processes with production objects (their system models). In this case, the platform (environment) for the intelligent integration of virtual and real processes is the information environment of the subject-oriented area. The functions of specialists, in this case, are reduced to the role of experts who implement the formal predicate knowledge prescribed in the corresponding methods and job descriptions (documents) and analyze the updated data of real production from the corresponding databases and knowledge bases. This ensures the properties of identifiability and traceability of production facilities and their processes. The spatial and temporal distribution of the holding's production facilities determine the basic coordinate system for their system modeling and management. Automation of intellectual processes of organization, planning, monitoring and management of interconnected production facilities in space and time, taking into account the in-fluence of the external environment, in real and virtual aspects, is an important and urgent task. System modeling is one of the main components of the organization of any process, including pro-duction. It should also be noted that the system modeling process itself is an intellectual, laborious and ob-jective process. Purpose of the study. To develop a methodology for system modeling (system de-scription) and adaptive management of production activities by individual enterprises as part of a machine-building holding. Develop a methodology for implementing this system model. Research methods used in the work: – principles of system engineering methodology (process approach, life cycle, etc.); – an integrated approach and structural analysis of the diversity of information processes in the interaction of individual production enterprises within the holding; – functional modeling of dynamic systems. Results. A methodology of system modeling (system description) of multilevel adaptive control of production systems distributed in space and time is proposed, taking into account the influence of the external environment. On the example of a machine-building holding, it is shown that this in-tellectualized system dynamic model can be implemented in the form of an Information-Advisory System. Conclusion. The proposed Methodology of System Analysis and Modeling of Adaptive Mana¬gement of Machine-Building Production as a part of the holding allows solving urgent prob-lems of effective management of production activities, taking into account the influence of the ex-ternal environment.