scholarly journals Models for Managing Production Systems of Machine-Building Enterprises Based on the Development and Using of Their Digital Twins

2021 ◽  
Vol 248 ◽  
pp. 04015
Author(s):  
Vitalii A. Dolgov ◽  
Petr. A. Nikishechkin ◽  
Vladimir E. Arkhangelskii ◽  
Pavel I. Umnov ◽  
Alexey A. Podkidyshev
Keyword(s):  
Production System ◽  
Production Systems ◽  
Information Model ◽  
Machine Building ◽  
Digital Twin ◽  
Reliability Indicators ◽  
Digital Twins ◽  
Rational Algorithm ◽  
Building Enterprise ◽  
Traditional Approaches

The paper discusses the goals and objectives of creating digital twins of the production system of a machine-building enterprise. The data structure of the information model of the production system of a machine-building enterprise, which is the basis for building a digital twin, is presented. The paper shows the main approaches to managing a production system based on the construction of its digital twin. It is revealed that along with traditional approaches to PS management by forming recommendations in terms of PS engineering and its operation, the choice of the most rational PS management algorithms that take into account the peculiarities of the production process organization and ensure the formation of production schedules that take into account PS reliability indicators has a great potential. It is proposed to use a specialized language of DPML to describe the information model of the PS through the “product-process-resource” paradigm, which ensures the coordination of the processes of forming recommendations in terms of engineering and operation of the PS, as well as the choice of the most rational algorithm for managing the PS.

scholarly journals COMPLEX TOOLS FOR INCREASING THE EFFICIENCY OF THE PRODUCTION SYSTEM OF A MACHINE-BUILDING ENTERPRISE

2021 ◽  
Vol 23 (2) ◽  
pp. 5-10
Author(s):  
V.N. Kozlovskiy ◽  
◽  
D.I. Blagoveshchenskiy ◽  
D.I. Panyukov ◽  
D.V. Aidarov ◽  
...  
Keyword(s):  
Production System ◽  
Production Systems ◽  
Machine Building ◽  
Building Enterprise ◽  
Assembly Plants

The article presents the results of the development and implementation of comprehensive tools for increasing efficiency in modern production systems of car assembly plants.

Digital Twin for Smart Manufacturing: The Practitioner’s Perspective

2020 ◽  
Author(s):  
Maja Bärring ◽  
Björn Johansson ◽  
Goudong Shao
Keyword(s):  
Conceptual Development ◽  
Production Systems ◽  
Manufacturing Sector ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Adoption And Implementation ◽  
New Information ◽  
Digital Twins ◽  
Discrete Manufacturing ◽  
Design Production

Abstract The manufacturing sector is experiencing a technological paradigm shift, where new information technology (IT) concepts can help digitize product design, production systems, and manufacturing processes. One of such concepts is Digital Twin and researchers have made some advancement on both its conceptual development and technological implementations. However, in practice, there are many different definitions of the digital-twin concept. These different definitions have created a lot of confusion for practitioners, especially small- and medium-sized enterprises (SMEs). Therefore, the adoption and implementation of the digital-twin concept in manufacturing have been difficult and slow. In this paper, we report our findings from a survey of companies (both large and small) regarding their understanding and acceptance of the digital-twin concept. Five supply-chain companies from discrete manufacturing and one trade organization representing suppliers in the automotive business were interviewed. Their operations have been studied to understand their current digital maturity levels and articulate their needs for digital solutions to stay competitive. This paper presents the results of the research including the viewpoints of these companies in terms of opportunities and challenges for implementing digital twins.

Model-based generation of run-time data collection systems exploiting AutomationML

2018 ◽  
Vol 66 (10) ◽  
pp. 819-833 ◽  
Author(s):  
Alexandra Mazak ◽  
Arndt Lüder ◽  
Sabine Wolny ◽  
Manuel Wimmer ◽  
Dietmar Winkler ◽  
...  
Keyword(s):  
Data Collection ◽  
Production System ◽  
Production Systems ◽  
Time Data ◽  
Technology Knowledge ◽  
Model Driven ◽  
Processing Data ◽  
Need Support ◽  
Run Time ◽  
Traditional Approaches

Abstract Production system operators need support for collecting and pre-processing data on production systems consisting of several system components, as foundation for optimization and defect detection. Traditional approaches based on hard-coded programming of such run-time data collection systems take time and effort, and require both domain and technology knowledge. In this article, we introduce the AML-RTDC approach, which combines the strengths of AutomationML (AML) data modeling and model-driven engineering, to reduce the manual effort for realizing the run-time data collection (RTDC) system. We evaluate the feasibility of the AML-RTDC approach with a demonstration case about a lab-sized production system and a use case based on real-world requirements.

Development of a Structural Model of a Digital Twin of Machine-Building Enterprises Production and Logistics System

2021 ◽  
pp. 43-58
Author(s):  
S.N. Grigoriev ◽  
V.A. Dolgov ◽  
P.A. Nikishechkin ◽  
N.V. Dolgov
Keyword(s):  
Information Systems ◽  
Mechanical Engineering ◽  
Structural Model ◽  
Information Model ◽  
Machine Building ◽  
Information Support ◽  
Logistics System ◽  
Digital Twin ◽  
Goals And Objectives ◽  
Engineering Enterprise

The purpose of the paper was to consider theoretical aspects of creating digital twins of objects and processes, investigate current trends in the development of modern engineering enterprises, and formulate goals and objectives of the development of a digital twin of the production and logistics system of a mechanical engineering enterprise. We found that the solution of the problems of analysis, assessment and forecasting of the state of the production and logistics system is based on the development with a given degree of adequacy of an information model which describes the aspects of the functioning of its main subsystems in accordance with the goals and objectives solved by the digital twin. It is impossible to create such an information model without integral and logically related initial data on the production and logistics system, the sources of which can be the information systems of the enterprise that consistently manage production, organizational and economic processes at various levels of enterprise management. In accordance with this, we introduced a structural model of the digital twin of the production and logistics system and developed the data structure of the information model of the production and logistics system of a mechanical engineering enterprise. Furthermore, we formulated the requirements for the composition and interaction of enterprise information systems containing and processing data for building a digital twin of the production and logistics system. Finally, we proposed a generalized approach to the information support of tasks solved by a digital twin, which consists in the formation of local information models containing relevant data on the production and logistics system of a machine-building enterprise

Design of machine-building workshops and sites

2018 ◽  
Author(s):  
Анатолий Бойко ◽  
Anatoliy Boyko ◽  
Анатолий Погонин ◽  
Anatoliy Pogonin ◽  
Александр Афанасьев ◽  
...  
Keyword(s):  
Theoretical Basis ◽  
Production Systems ◽  
Automated Design ◽  
Machine Building ◽  
Design System ◽  
Mechanical Assembly ◽  
Structural Units ◽  
Building Enterprise

The textbook "Designing of machine-building workshops and sites" is a publication created on the basis of a modern methodology for designing production systems with specified properties, using an automated design system. Since the main structural units of the machine-building enterprise are mechanical and Assembly shops and sites, so they are paid special attention in the textbook. The theoretical basis of the discipline blended with a large amount of calculations of stalemate machining and mechanical Assembly processes, personnel, production prompdy and examples of designing the different purpose areas.

scholarly journals The Digital Twin for Agricultural Machinery Restoration Processes

2021 ◽  
Vol 31 (4) ◽  
pp. 530-543
Author(s):  
Yuriy G. Sledkov ◽  
Leonid L. Khoroshko ◽  
Pavel M. Kuznetsov ◽  
Anton O. Butko
Keyword(s):  
Production System ◽  
Production Systems ◽  
Discrete Event ◽  
Complete Information ◽  
Information Support ◽  
Agricultural Machinery ◽  
Repair Work ◽  
Digital Twin ◽  
Event Modeling ◽  
Twin Model

Introduction. Agricultural machinery provides the required level of mechanization. Sand abrasive, dirt, and open-air operations considerably accelerate the wear of mechanisms. An improper work plan and lack of complete information about the state of specific equipment units increase the time for repair and maintenance operations. The purpose of the study is to develop a digital twin model for the repair and restoration system of enterprises. The model will reduce material costs and allow for the best solutions to organize the work. Materials and Methods. The model is developed on the basis of simulation modeling. The authors used the approach based on discrete-event modeling with the logical-mathematical apparatus for describing events occurring in a real object. Results. Information support is formed taking into account the parameters of the production systems of repair enterprises and a mathematical model, which is a digital twin of the production system. This approach made it possible to automate the development of optimal plans for organizing repair work by repair enterprises, taking into account their interrelationships. Discussion and Conclusion. The digital twin for the generalized production system of repair organizations allows developing options for the resource allocation and verifying them promptly to choose the best options through accumulating information about the most successful solutions. This will reduce the time for repair and restoration works, improve their quality and save labor.

scholarly journals An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System

2019 ◽  
Vol 67 (9) ◽  
pp. 762-782 ◽  
Author(s):  
Behrang Ashtari Talkhestani ◽  
Tobias Jung ◽  
Benjamin Lindemann ◽  
Nada Sahlab ◽  
Nasser Jazdi ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Production Systems ◽  
Heterogeneous Data ◽  
Use Cases ◽  
Added Value ◽  
Automation System ◽  
The Real ◽  
Digital Twin ◽  
Digital Twins ◽  
Cyber Physical Production Systems

Abstract The role of a Digital Twin is increasingly discussed within the context of Cyber-Physical Production Systems. Accordingly, various architectures for the realization of Digital Twin use cases are conceptualized. There lacks, however, a clear, encompassing architecture covering necessary components of a Digital Twin to realize various use cases in an intelligent automation system. In this contribution, the added value of a Digital Twin in an intelligent automation system is highlighted and various existing definitions and architectures of the Digital Twin are discussed. Flowingly, an architecture for a Digital Twin and an architecture for an Intelligent Digital Twin and their required components are proposed, with which use cases such as plug and produce, self-x and predictive maintenance are enabled. In the opinion of the authors, a Digital Twin requires three main characteristics: synchronization with the real asset, active data acquisition from the real environment and the ability of simulation. In addition to all the characteristics of a Digital Twin, an Intelligent Digital Twin must also include the characteristics of Artificial Intelligence. The Intelligent Digital Twin can be used for the realization of the autonomous Cyber-Physical Production Systems. In order to realize the proposed architecture for a Digital Twin, several methods, namely the Anchor-Point-Method, a method for heterogeneous data acquisition and data integration as well as an agent-based method for the development of a co-simulation between Digital Twins were implemented and evaluated.

scholarly journals A novel analysis model for optimization performance of Bernoulli serial production system considering rework processes

2019 ◽  
Vol 234 (1-2) ◽  
pp. 295-309
Author(s):  
Binghai Zhou ◽  
Song Lin
Keyword(s):  
Quality Management ◽  
Production System ◽  
Manufacturing Systems ◽  
Production Systems ◽  
System Modeling ◽  
System Level ◽  
Recent Analysis ◽  
Analysis Model ◽  
Serial Production ◽  
Traditional Approaches

Production system modeling aims to investigate the principles of production procedures and to reveal the relationship between components and systems. Tremendous efforts have been devoted to production system modeling for the serial production system. However, most of the research focuses on the analysis of the systems at the steady state. Due to the emphasis of the quality management, production systems with rework loops are widely used in today’s manufacturing industrials, which the traditional approaches are not applicable to. Since the recent analysis of transients shows significant value and great potential in manufacturing systems, in this article, a new mechanism for rework is introduced based on the principles of quality management and lean production. A novel “Instant-Checking” method is developed to model Bernoulli serial production system considering rework loops. This method overcomes conventional restrictions and limited assumptions, and it extends the problem to systems with complex structures. Meanwhile, the analysis for transients is conducted to demonstrate relationships between component- and system-level characteristics. Finally, numerical experiments are performed to verify the effectiveness of the model.

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