Digital twin and virtual reality: a co-simulation environment for design and assessment of industrial workstations

Havard, Vincent; Jeanne, Benoit; Lacomblez, Marc; Baudry, David

doi:10.1080/21693277.2019.1660283

Cited by 102 publications

(54 citation statements)

References 32 publications

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“…This integration between virtual and physical is described as the process of collecting data from manufacturing sites in the physical world and transmitting those data into information systems. In recent years, many new ITs have been applied to collect different data types concerning the full production lifecycle [30][31][32][33][34][35][36][37][38][39]. Examples are related to the integration between the PDM (Product Data Management), PLM (Product Lifecycle Management), and ERP (Enterprise Resource Planning) systems [15,23].…”

Section: Digital Twinmentioning

confidence: 99%

Closed-Loop Digital Twin for the Product Lifecycle

Durão

Zancul

Schützer

2021

Preprint

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Digital Twin advances have provided the conceptual ground for integrating a physical product with its digital representation. However, Digital Twin implementation has been focused on the beginning of life and manufacturing optimization, leaving space for developing a Digital Twin model that encompasses and connects different stages of the entire product lifecycle. In this scenario, the integration between company-internal data with real-time customers' data is still a challenge. Besides, implementing such a model in a multiplatform environment is also an open issue in the literature. This paper proposes the definition of a Closed-loop Digital Twin implemented as a middleware software that connects PLM, ERP, and MES data with customers' usage data. The proposed concept was implemented and tested in a learning factory. Results demonstrated the concept potential to consolidate product data, support data analyses, and provide insights for different stages of the product lifecycle.

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Section: Digital Twinmentioning

confidence: 99%

Closed-Loop Digital Twin for the Product Lifecycle

Durão

Zancul

Schützer

2021

Preprint

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“…In order to train people in virtual reality with systems that behave realistically, there is the interesting option of combining virtual reality and digital twin technologies [11]. Burghardt in [37] and Kuts in [38] present different methods for programming and controlling robots using virtual reality and digital twins, confirming that this combination facilitates human-robot interactions in terms of collaborative work, telecontrol, and programming.…”

Section: Digital Twins and Robotsmentioning

confidence: 99%

“…For this purpose, access to very realistic models of the current state of the process is necessary [10]. The use of sensors and 3D visualization technologies, such as virtual and augmented reality, makes this connection possible and facilitates the interaction with humans [11,12]. The digital twin is fed with the data from the sensors, PLCs, controllers, etc., and the 3D environment is visualized using the 3D glasses.…”

Section: Introductionmentioning

confidence: 99%

Digital Twin and Virtual Reality Based Methodology for Multi-Robot Manufacturing Cell Commissioning

et al. 2020

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Intelligent automation, including robotics, is one of the current trends in the manufacturing industry in the context of “Industry 4.0”, where cyber-physical systems control the production at automated or semi-automated factories. Robots are perfect substitutes for a skilled workforce for some repeatable, general, and strategically-important tasks. However, this transformation is not always feasible and immediate, since certain technologies do not provide the required degree of flexibility. The introduction of collaborative robots in the industry permits the combination of the advantages of manual and automated production. In some processes, it is necessary to incorporate robots from different manufacturers, thus the design of these multi-robot systems is crucial to guarantee the maximum quality and efficiency. In this context, this paper presents a novel methodology for process automation design, enhanced implementation, and real-time monitoring in operation based on creating a digital twin of the manufacturing process with an immersive virtual reality interface to be used as a virtual testbed before the physical implementation. Moreover, it can be efficiently used for operator training, real-time monitoring, and feasibility studies of future optimizations. It has been validated in a use case which provides a solution for an assembly manufacturing process.

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“…The Digital Twin is essential to provide the subsystems all required information HAVARD et al, 2019b). It should be able to import background data, component information, and configuration information from the physical component .…”

Section: Digital Twin and Plmmentioning

confidence: 99%

“…This integration between virtual and physical is described as the process of collecting data from manufacturing sites in the physical world and transmitting those data into information systems. In recent years, many new ITs have been applied to collect different data types concerning the full production lifecycle HAVARD et al, 2019b;. Examples are related to the integration between the PDM (Product Data Management), PLM (Product Lifecycle Management), and ERP (Enterprise Resource Planning) systems .…”

mentioning

confidence: 99%

Closed-loop digital twin for the product lifecycle.

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As a result of Industry 4.0 developments, the amount of product data collected over the entire product lifecycle has been growing. Advances in digitalization resulted in the intensive use of data in the manufacturing environment. Different manufacturing systems store data across the product lifecycle-PLM (Product Lifecycle Management), ERP (Enterprise Resource Planning), and MES (Manufacturing Execution Systems), among other specialized IT systems. In many cases, there is already a connection between these systems. However, the integration between company internal manufacturing data with real-time customers' usage data is still initial. Therefore, the Internet of Things (IoT) has become an important research agenda. Information and communication technologies have been employed to digitally mirror the lifecycle of a corresponding physical product in Digital Twin (DT) applications. However, Digital Twin implementation has been focused on the beginning of life and manufacturing machines data, leaving space for developing a DT model that encompasses and connects different phases of the product lifecycle. Besides, implementing such a model in a multiplatform environmentconnecting various systemsis also an open issue. This thesis proposes the definition of a Closed-loop Digital Twin implemented as a middleware software that connects the PLM, ERP, and MES systems with customers' usage data. The proposed concept was implemented at a learning factory based on industry standard software. The implement DT processes product data to provide analysis results. This research also proposes a DT definition and typology model to support its understanding and implementation and an IoT selection model. Results demonstrated the concept potential to consolidate product data, support data analyses based on algorithms, and provide insights for different phases and stakeholders of the product lifecycle.

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Digital twin and virtual reality: a co-simulation environment for design and assessment of industrial workstations

Cited by 102 publications

References 32 publications

Closed-Loop Digital Twin for the Product Lifecycle

Closed-Loop Digital Twin for the Product Lifecycle

Digital Twin and Virtual Reality Based Methodology for Multi-Robot Manufacturing Cell Commissioning

Closed-loop digital twin for the product lifecycle.

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