
Cloud platform for smart product-service systems
Author(s) -
В. В. Грибова,
Andrey Velichko
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1801/1/012018
Subject(s) - cloud computing , production planning , systems engineering , computer science , software , cloud manufacturing , software engineering , key (lock) , ontology , production (economics) , service (business) , product (mathematics) , process management , manufacturing engineering , engineering , operating system , geometry , mathematics , philosophy , economy , epistemology , economics , macroeconomics
The paper deals with the problem of decision-making support for digital production planning. The analysis of the stages of organization and production planning currently is poorly represented in existing software solutions. Main stages of digital production planning are identified such as optimization of manufacturing placement; optimization of suppliers selection of resources and its delivery to the place of manufacturing. Taking into account the conditions of 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 formalization (ontology) based on the approach of production and operational management and the architecture of a digital cloud platform and its functional modules has been developed for the digital production planning process. It is a decentralized platform as a public network consisting of independent software modules (cloud services), connected into a tool with expandable number of modules. The software tool consists of production-planning unit and production-management support unit. Currently, a number of modules of the system have been developed and experimentally tested; now we are developing the full-featured tool.