"Умное предприятие" как базовый объект цифровой экономики

Abstract

Разработаны новые подходы к управлению предприятием в условиях высокой динамики изменения производственнотехнологических и деловых процессов цифровой экономики. Предложены технологии создания «умных» предприятий как производственной инновации, базирующейся на высоком уровне знаний о системе, высокопродуктивных методах интеллектуализации процессов управления и моделях образного мышления. Особенность такой технологии – придание ей новых возможностей для управления, способных изменить производительность, концепцию и способ функционирования предприятия в разных отраслях промышленности.

Розроблено нові підходи управління підприємством за умов високої динаміки зміни виробнично-технологічних та ділових процесів цифрової економіки. Запропоновано технології створення «розумних» підприємств як виробничої інновації, що базується на високому рівні знань про систему, високопродуктивних методах інтелектуалізації процесів управління і моделях образного мислення. Особливість такої технології – надання їй нових можливостей для управління, здатних змінити продуктивність, концепцію і спосіб функціонування підприємства в різних галузях промисловості.

The aim is to develop a new approach for enterprises operation in the highly dynamic environment of changing production, technological, and business processes in the digital economy. The concepts and technologies of a smart enterprise creation are suggested. The smart enterprise is considered as a production innovation based on the high level of knowledge about the system, highly productive methods of intellectualization of management processes and models of creative thinking. The main concepts. The smart enterprise is characterized by the new management potentialities that led to increase productiveness. Also it is characterized by creating the concept, model and way of functioning in different industries. The smart enterprise is a flexible system with the Distributed Artificial Intelligence for industrial automation that provides an enterprise with the efficient functioning and support. In such system a flexible distributed model is a basic component alongside with universal use of the miniature mobile devices, wireless networks, satellite navigation systems for “cloud” calculations, information depositories, electronic environment, that creates the image of surrounding objects and processes. This model runs all processes in real time and reflects mentation processes supported by powerful software tools. Methods and algorithms. The management system uses the concept of creative thinking. It represents the set of scenarios that allow processing the image of the controlled process in order to get an appropriate image of controlling operations. The control image reflects the general purpose of the management system. It is divided for numerous scenarios corresponding to the separate functions of the management system. Theses scenarios are interconnected so as they operate as separate links of a general algorithm in certain production situations. Thus, the set of separate scenarios function not in a fixed sequence (one by one) and not chaotically but they are set in different chains depending on the changing image of the production situation. All functions realized in the control system are divided into information and controlling ones. For their turn, information functions are divided into the functions that represent the simplest transformation of signals with realization on individual instrument control, registration, and signaling devices, and information and calculating functions that include centralized information preprocessing by relatively simple algorithms and its following processing by complex branched algorithms. Summary. The smart enterprise as a basic element of the digital economy constitutes its future in many respects. The smart enterprises of the digital economy especially need artificial intelligence systems. There is still a certain gap between development works, artificial intelligence software and possibilities of their widespread adoption into practice. Hopefully, the results obtained by the authors will help to overcome these hardships.