A Mathematical Model for the Description of Metallurgical Production on the Basis of Heterogeneous Data

Porshnev, Sergey; Ponomareva, Olga; Trofimov, Sergey; Anchugova, Olga

doi:10.1109/usbereit48449.2020.9117711

Cited by 2 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies are being done on the application of ML techniques to logistics, robots, assistance and learning systems for shop floor staff, planning and control of manufacturing processes, predictive maintenance, quality control, in situ process control and optimization, and logistics. Along with data analysis, data storage plays a pivotal role [26,27]. A heterogeneous data warehouse forms a single information space of the enterprise, which serves as the basis for analytical analysis throughout the production and decision-making process [28].…”

Section: Neural Network and Manufacturing Schedulingmentioning

confidence: 99%

Applications of Artificial Intelligence in Manufacturing : A Review

Balaji¹,

Shreyas²,

Dhanasekaran³

2023

IJTRET

View full text Add to dashboard Cite

In recent days, It’s popularly acknowledged that Artificial Intelligence (AI) is going to play a major role in influencing a large number of fields and is going to be a major source of automation and innovation. In this review paper, we present an analytical and structured literature review of the current avant-garde of AI in manufacturing and its influence. We particularly analyzed and exemplified papers from a holistic manufacturing perspective. This review provides an overall perspective on how Artificial Intelligence has bolstered Manufacturing domains and how contributions over the years have shaped the role AI has played in manufacturing. AI applications are promising and tend to act as a game-changer in tackling hindrances in metallurgy. Future research can be expected towards developing advanced combined AI applications.

show abstract

Section: Neural Network and Manufacturing Schedulingmentioning

confidence: 99%

Applications of Artificial Intelligence in Manufacturing : A Review

Balaji¹,

Shreyas²,

Dhanasekaran³

2023

IJTRET

View full text Add to dashboard Cite

show abstract

“…The concept of building a single information space for a metallurgical enterprise was previously described in [17][18][19][20][21][22], where the architecture of an information system was proposed to automate the production of finished metallurgical products. This information system consists of two subsystems: Automated Information System for Data Collection and Analysis (AIS DCA)-implements the functions of receiving and storing technological information from various sources; Automated Information System for Mathematical Data Processing-optimizes technological, logistics and organizational processes.…”

mentioning

confidence: 99%

The Development of a Heterogeneous MP Data Model Based on the Ontological Approach

Поршнев¹,

Borodin²,

Ponomareva³

et al. 2021

Symmetry

Self Cite

View full text Add to dashboard Cite

The article discusses the approaches providing symmetric access of all industrial production services to the data of business processes of the enterprise by building a single warehouse of heterogeneous data of a metallurgical production. The warehouse is a part of an automated statistic quality control system for the products of a metallurgical enterprise. The article describes an ontological storage model of data coming from various sources of information in the production process. The concept of “a unit of production of metallurgical production” is introduced that is the connecting component of the entire production life cycle of a metallurgical production. The authors propose an ontological model of the production process, in terms of information flows which are formed in an enterprise at each stage of production. Based on the constructed ontological model, the structure of recording an array of information in the heterogeneous data warehouse is justified and formed. Heterogeneous data warehouse forms a single information space of the enterprise, which serves as the basis for analytical analysis throughout the production and decision—making process. For example, timely response to the deviation reasons from the given physical and chemical properties of the finished product.

show abstract

A Mathematical Model for the Description of Metallurgical Production on the Basis of Heterogeneous Data

Cited by 2 publications

References 4 publications

Applications of Artificial Intelligence in Manufacturing : A Review

Applications of Artificial Intelligence in Manufacturing : A Review

The Development of a Heterogeneous MP Data Model Based on the Ontological Approach

Contact Info

Product

Resources

About