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Decision making support for the development of new products based on Big Data technology
Author(s) -
Alexey I. Shinkevich,
Irina A. Zaraychenko,
Radka Ivanova,
Ekaterina L. Vodolazhskaya
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/862/4/042014
Subject(s) - big data , data science , computer science , technology development , development (topology) , engineering , data mining , manufacturing engineering , mathematics , mathematical analysis
The paper presents an analytical model for constructing a production system based on the application of the concept of big data. There are proposed a model for data collection and the architecture of a dynamic control system based on KPI modeling and construction of predictive models. A model for processing system data is developed, based on the use of a dynamic three-dimensional indexing data in the following areas: equipment, technology and schedule. Based on this approach, it is proposed to use the multiple linear regression model with fixing system constraints to solve the problem of optimizing production resources.