Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Production Experience Storage Systems as an Element of Intelligent Decision-Making Support. / Шерстюк, Юрий Михайлович; Мусаев, Александр Азерович; Григорьев, Дмитрий Алексеевич.
Proceedings - 2024 International Russian Smart Industry Conference, SmartIndustryCon 2024. Institute of Electrical and Electronics Engineers Inc., 2024. стр. 173-177.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Production Experience Storage Systems as an Element of Intelligent Decision-Making Support
AU - Шерстюк, Юрий Михайлович
AU - Мусаев, Александр Азерович
AU - Григорьев, Дмитрий Алексеевич
N1 - Conference code: 4
PY - 2024/3/25
Y1 - 2024/3/25
N2 - This paper examines the modern approach to the storage and use of production experience as a set of retrospective data which characterizes the functioning of a production system at a certain historical period. It focuses on the differences between intelligent information systems and traditional transactional systems. Additionally, the main characteristics of intelligent information systems created with data warehouse technologies, operational analytical data processing, and data analysis are briefly described. Lastly, the paper discusses the task of creating an information storage from the point of view of its application in the general concept of total industrial automation.
AB - This paper examines the modern approach to the storage and use of production experience as a set of retrospective data which characterizes the functioning of a production system at a certain historical period. It focuses on the differences between intelligent information systems and traditional transactional systems. Additionally, the main characteristics of intelligent information systems created with data warehouse technologies, operational analytical data processing, and data analysis are briefly described. Lastly, the paper discusses the task of creating an information storage from the point of view of its application in the general concept of total industrial automation.
KW - data warehouse technologies
KW - intelligent information systems
KW - production experience storage
KW - retrospective data
UR - https://www.mendeley.com/catalogue/889c659e-4713-3938-9f13-3a16126905d6/
U2 - 10.1109/smartindustrycon61328.2024.10515418
DO - 10.1109/smartindustrycon61328.2024.10515418
M3 - Conference contribution
SN - 9798350395044
SP - 173
EP - 177
BT - Proceedings - 2024 International Russian Smart Industry Conference, SmartIndustryCon 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Международная научно-практическая конференция "Индустрия 4.0"
Y2 - 24 March 2024 through 30 March 2024
ER -
ID: 119568917