Object Relation Technique for Modelling of Digital Production Solutions

Author:

Berenov D.A.1ORCID,Rasskazova V.A.2ORCID

Affiliation:

1. Data-Center Automation

2. Moscow Aviation Institute, (NRU MAI)

Abstract

<p>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.</p>

Publisher

Moscow State University of Psychology and Education

Subject

Polymers and Plastics,General Environmental Science

Reference27 articles.

1. Ford H., Crowther S. (1922). My Life and Work. Garden City, New York: Garden City Publishing Company, Inc. 231 p. 

2. Deming W. (1943). Edwards. Statistical Adjustment of Data. Dover. 261 p. 

3. Taylor F. W. (1911) The Principles of Scientific Management. New York; London: Harper & brothers. 144 p. 

4. Gantt H. L. (1903). A graphical daily balance in manufacture // Transactions of the American Society of Mechanical Engineers. Vol. 24. P. 1322-1336. 

5. Lisovskii A. L. (2018). Optimizatsiya biznes-protsessov dlya perekhoda k ustoichivomu razvitiyu v usloviyakh chetvertoi promyshlennoi revolyutsii // Strategicheskie resheniya i risk-menedzhment. № S. 10-19. https://doi.org/https://doi.org10.17747/20788886201841019. (In Russ.)

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