Object Relation Technique for Modelling of Digital Production Solutions

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Abstract

A field of Industry 4.0 is one of the most perspective with respect to research and optimization of production and industrial problems. The main problems in this field are connected with necessary analysis and processing of a huge data, which have a different native and sources. Particularly, the data from various automatic sources, as well as getting due to human management, become far away from each other both from the structure point of view and the native meaning. And there often occur, that such a different data in integrated form could contain a significant information for analysis, and moreover for a transformation of the technological process. At the same time, it is rather difficult to provide an analysis in frame of a significant asynchrony, and sometimes it becomes to a practical unsolvable problem. In this regard, the problem on developing of specialized methods for collecting, storing and processing big data of various structures are becoming fundamentally relevant. This is the purpose of the present work, which proposes a new method for organizing data based on the concept of object relations as a universal structure for production modeling. The proposed method is based on the concept of an "object", which is any entity of the production chain (plant, workshop, machine, production operation, unit of production, etc.) The key difference between the method of object relations and agent modeling is the fact that no behavioral scenarios are imposed on objects. Thus, the "object" structure turns out to be authorized to enter into any relationship with other "objects" within the framework of the model under consideration, which in turn allows to accumulate various kinds of data into a single hierarchy and guarantees the reliability of analysis at any level. The proposed method of object relations has been applied at several full-scale production sites, thereby confirming its stability and operability. The paper provides an analysis of key performance indicators of the application of the method of object relations to solve the problem of forming a technological passport of a product at the steel production, and also discusses ways of further development.

General Information

Keywords: industry 4.0, Big Data, object relation technique (ORT), digital transformation, production

Journal rubric: Data Analysis

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2023130101

Acknowledgements. The authors are grateful for assistance in development and formalization of the ORT an administration of the LLC "Data-Center Automation" in faces of Uskov R.Yu. and Volkov A.V.

Received: 17.02.2023

Accepted:

For citation: Berenov D.A., Rasskazova V.A. Object Relation Technique for Modelling of Digital Production Solutions. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2023. Vol. 13, no. 1, pp. 5–18. DOI: 10.17759/mda.2023130101. (In Russ., аbstr. in Engl.)

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Information About the Authors

Dmitriy A. Berenov, Director on Innovations, Data-Center Automation, Ekaterinburg, Russia, ORCID: https://orcid.org/0009-0002-3732-5899, e-mail: berenov@dc.ru

Varvara A. Rasskazova, PhD in Physics and Matematics, Associate Professor of Department 804 "Probability Theory and Computer Modeling", Moscow Aviation Institute, (NRU MAI), Moscow, Russia, ORCID: https://orcid.org/0000-0003-4943-3133, e-mail: varvara.rasskazova@mail.ru

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