The digital twin of an industrial production line within the industry 4.0 concept

Vachálek, Ján; Bartalský, Lukáš; Rovný, Oliver; Šišmišová, Dana; Morháč, Martin; Lokšík, Milan

doi:10.1109/pc.2017.7976223

Cited by 226 publications

(93 citation statements)

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“…Siemens plant simulation (PS) digital tool was successfully interfaced (digital copy) with production line involving manufacturing of pneumatic cylinders within automotive industry to promote the concept of Industry 4.0. The production line simulation model was optimized by genetic algorithm provided by Siemens PS tool which adjusted the simulation model and then simulated the digital twin [488]. Smart factories are designed with machines that can operate based on manufacturing environments, control production processes and share information with each other in the form of knowledge graphs.…”

Section: ) Computationalmentioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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A digital twin can be defined as an adaptive model of a complex physical system. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. In this work, we review the recent status of methodologies and techniques related to the construction of digital twins. Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.

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Section: ) Computationalmentioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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“…For example, the concept of digital twin shop-floor (DTS) was proposed, and DTS characteristics, architecture, system composition, operating mechanism, and enabling key technologies are studied in detail . Vachálek et al investigated the application of digital twin in an industrial production line and analysed its superiority (Vachálek et al 2017). Knapp et al studied additive manufacturing's digital twin and used it to make predictions about properties and serviceability of components (Knapp et al 2017).…”

Section: Digital Twin and Its Applicationsmentioning

confidence: 99%

Digital twin-driven product design framework

Tao

Sui

Liu

et al. 2018

International Journal of Production Research

694

289

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With the advent of new generation information technologies in industry and product design, the big data-driven product design era has arrived. However, the big data-driven product design mainly places emphasis on the analysis of physical data rather than the virtual models, in other words, the convergence between product physical and virtual space is usually absent. Digital twin, a new emerging and fast growing technology which connects the physical and virtual world, has attracted much attention worldwide recently. This paper presents a new method for product design based on the digital twin approach. The development of product design is briefly introduced first. The framework of digital twin-driven product design (DTPD) is then proposed and analysed. A case is presented to illustrate the application of the proposed DTPD method.

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“…The Data-to-Information Conversion Level allows the access to information of the large volume of data collected, for example, knowledge about the useful life of the machines and their performance (Lee et al, 2015;Qin et al, 2016). In this case, the sensors that monitor temperature, vibrations, noise or wear are crucial (D'Antonio et al, 2015;Vachálek et al, 2017).…”

Section: Pilot Project Developmentmentioning

confidence: 99%

Theoretical proposal of steps for the implementation of the Industry 4.0 concept

Cordeiro

Ordóñez

Ferro

2019

BJO&PM

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Goal: The purpose of this paper is to present a proposal of steps for the implementation of Industry 4.0 in the industrial context, considering management and operational aspects. The reason is to discuss that technological change is accompanied by many organizational implications, in which it is perceivable that some companies already experience strategic and operational turbulence due to the lack of understanding of the this structure’s complexity. Design / Methodology / Approach: This study assumes an exploratory character because the subject of analysis is still in the knowledge-structuring phase. In this sense, data was collected from the literature review. Results: A theoretical proposal for the Industry 4.0 implementation framework is presented in flow format. It is organized in steps that cover the strategic and operational aspects during the implementation flow. Limitations of the investigation: The limitations of this study are directly related to its theoretical nature and the difficulty of finding tools that help in the execution of each proposed stage. Practical implications: However, based on theoretical insights, a trajectory of a transformation model is proposed, thus this research intends to show clearly and direct how companies can introduce the aspects of Industry 4.0 to their own benefit. Originality / Value: In this study, a conceptual model is structured, and it indicates a potential of application because it contributes to support and encourage the adoption of technologies and concepts indicated in the Industry 4.0 literature in a structured way.

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The digital twin of an industrial production line within the industry 4.0 concept

Cited by 226 publications

References 1 publication

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Digital twin-driven product design framework

Theoretical proposal of steps for the implementation of the Industry 4.0 concept

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