Облачная платформа систем поддержки принятия решений для задач планирования деятельности цифровых производств

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Рассмотрена задача разработки платформы для процессов цифрового производства. Описаны возможные онтологии предметной области, состоящей в организации и планировании экономической деятельности предприятий и учреждений, в том числе в производственной сфере. Спроектирована модульная архитектура облачной платформы для цифровизации производственных процессов в области обрабатывающих производств и строительства. Определены задачи, решаемые каждым функциональным модулем. Purpose. The paper deals with the problem of decision-making support for digital production planning. Methodology. The formalization of the subject area (ontology) is developed on the basis of the approach used in production and operational management, in particular, for the possible planning of digital production in back-office industries and construction. Findings. Main stages of digital production planning are identified such as optimization for the placement (choice of place) of production, optimal selection of suppliers of resources, optimization of storage of resources and delivery to the place of production. The analysis of the stages for organization and production planning currently is poorly represented in existing software solutions as a set of several cloud services. Originality/value. Taking into account the conditions for the modern stage of development of technologies for the digital production we can identify the key requirements for the functionality and use of the software platform. The architecture of a digital cloud platform and its functional modules has been developed for the planning of digital production. It is a decentralized platform as a public network, consisting of independent software modules (cloud services) connected to a tool with an expandable number of modules. The tool consists of a unit for the organization and planning of production processes and the block of the modules that accompanies implementation of process of production activity. Currently, a number of modules of the system have been developed and experimentally tested. Now we are developing the full-featured tool.