scholarly journals A Discrete Process Modelling and Simulation Methodology for Industrial Systems within the Concept of Digital Twins

2022 ◽  
Vol 12 (2) ◽  
pp. 870
Author(s):  
George Tsinarakis ◽  
Nikolaos Sarantinoudis ◽  
George Arampatzis
Keyword(s):  
Data Exchange ◽  
Modelling And Simulation ◽  
Process Models ◽  
Industrial System ◽  
Industrial Systems ◽  
Physical Systems ◽  
Digital Twins ◽  
Alternative Scenarios ◽  
Scientific Fields ◽  
Open Issues

A generic well-defined methodology for the construction and operation of dynamic process models of discrete industrial systems following a number of well-defined steps is introduced. The sequence of steps for the application of the method as well as the necessary inputs, conditions, constraints and the results obtained are defined. The proposed methodology covers the classical offline modelling and simulation applications as well as their online counterpart, which use the physical system in the context of digital twins, with extensive data exchange and interaction with sensors, actuators and tools from other scientific fields as analytics and optimisation. The implemented process models can be used for what-if analysis, comparative evaluation of alternative scenarios and for the calculation of key performance indicators describing the behaviour of the physical systems under given conditions as well as for online monitoring, management and adjustment of the physical industrial system operations with respect to given rules and targets. An application of the proposed methodology in a discrete industrial system is presented, and interesting conclusions arise and are discussed. Finally, the open issues, limitations and future extensions of the research are considered.

scholarly journals Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Radhya Sahal ◽  
Saeed H. Alsamhi ◽  
Kenneth N. Brown ◽  
Donna O’Shea ◽  
Bader Alouffi
Keyword(s):  
Data Exchange ◽  
Industrial Revolution ◽  
Emerging Technologies ◽  
Vital Role ◽  
Healthcare Sector ◽  
Use Case ◽  
Time Data ◽  
Physical Systems ◽  
Advanced Technologies ◽  
Digital Twins

Emerging technologies such as digital twins, blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) play a vital role in driving the industrial revolution in all domains, including the healthcare sector. As a result of COVID-19 pandemic outbreak, there is a significant need for medical cyber-physical systems to adopt these emerging technologies to combat COVID-19 paramedic crisis. Also, acquiring secure real-time data exchange and analysis across multiple participants is essential to support the efforts against COVID-19. Therefore, we have introduced a blockchain-based collaborative digital twins framework for decentralized epidemic alerting to combat COVID-19 and any future pandemics. The framework has been proposed to bring together the existing advanced technologies (i.e., blockchain, digital twins, and AI) and then provide a solution to decentralize epidemic alerting to combat COVID-19 outbreaks. Also, we have described how the conceptual framework can be applied in the decentralized COVID-19 pandemic alerting use case.

scholarly journals Diagnostic and Prognostic Models for Predictive Maintenance: Multi-Criteria Comparative Analysis

2021 ◽  
Vol 11 (10) ◽  
pp. 40-49
Author(s):  
Mohammed Bouaicha ◽  
◽  
Imad El Adraoui ◽  
Nadia Machkour ◽  
Hassan Gziri ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Predictive Maintenance ◽  
Prognostic Models ◽  
Industrial System ◽  
Single Model ◽  
Mutual Cooperation ◽  
Industrial Systems ◽  
The Past ◽  
Clear Vision ◽  
The Comparative Study

Predictive maintenance has evolved considerably over the past two decades making this strategy an effective way to monitor the operation of industrial systems, thereby predicting its future states and remaining lifespan. It is therefore developed through a process that begins with the collection of information from the industrial system, the objective of which is its diagnosis or / and its prognosis. This article presents an analysis of single-model and multi-model approaches to the effect of diagnostic and prognostic tasks. This analysis is based on a multi-criteria comparison of the different models in order to provide a clear vision to choose the appropriate approach for predictive maintenance. The relevance of the comparative study is argued by the development of criteria directly impacting performance, reliability, efficiency and mutual cooperation between models. Conclusions are then drawn, in order to identify the appropriate diagnostic and prognostic approach for predictive maintenance.

scholarly journals Using AutomationML and Graph-Based Design Languages for Automatic Generation of Digital Twins of Cyber-Physical Systems

2020 ◽  
Author(s):  
Nicolai Beisheim ◽  
Markus Kiesel ◽  
Markus Linde ◽  
Tobias Ott
Keyword(s):  
Development Process ◽  
Cyber Physical Systems ◽  
Production Equipment ◽  
Manufacturing Processes ◽  
Reference Architecture ◽  
Physical Systems ◽  
Cross Domain ◽  
Digital Twins ◽  
Process Simulations ◽  
Design Languages

The interdisciplinary development of smart factories and cyber-physical systems CPS shows the weaknesses of classical development methods. For example, the communication of the interdisciplinary participants in the development process of CPS is difficult due to a lack of cross-domain language comprehension. At the same time, the functional complexity of the systems to be developed increases and they act operationally as independent CPSs. And it is not only the product that needs to be developed, but also the manufacturing processes are complex. The use of graph-based design languages offers a technical solution to these challenges. The UML-based structures offer a cross-domain language understanding for all those involved in the interdisciplinary development process. Simulations are required for the rapid and successful development of new products. Depending on the functional scope, graphical simulations of the production equipment are used to simulate the manufacturing processes as a digital factory or a virtual commissioning simulation. Due to the high number of functional changes during the development process, it makes sense to automatically generate the simulation modelling as digital twins of the products or means of production from the graph-based design languages. The paper describes how digital twins are automatically generated using AutomationML according to the Reference Architecture Model Industry 4.0 (RAMI 4.0) or the Industrial Internet Reference Architecture (IIRA).

Modeling the Economic Performance of Industrial Systems Using Mathematical Programming

2015 ◽  
Vol 809-810 ◽  
pp. 1553-1558
Author(s):  
Flavia Fechete ◽  
Anișor Nedelcu
Keyword(s):  
Linear Programming ◽  
Mathematical Programming ◽  
Economic Performance ◽  
Computer Software ◽  
Theoretical Research ◽  
Programming Models ◽  
Optimal Decision ◽  
Management Decision ◽  
Industrial System ◽  
Industrial Systems

Mathematical programming models and especially their subclass - linear programming models - plays an extremely important role, both in theory and in economic practice. Linear programming, through its results, brought a considerable contribution to improving management methods in economics and it has boosted theoretical research in modeling complex economic systems, study and interpretation of laws and economic processes. Developing and designing a model for achieving the economic performance of the industrial system allows managers making optimal decision and ensures the improvement of their activity. This paper aim is to determine an optimal manufacturing program for an industrial system, so that, by its implementation, to achieve economic performance. The manufacturing program conducted using a computer software will allow this entity to optimize their management decision process by providing information related to physical production that must be executed on each of their the products, or about the unused or overloaded capacity, in order to maximize their profits.

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