Design and implementation of a digital twin application for a connected micro smart factory

Park, Kyu Tae; Nam, Young Wook; Lee, Hyeon Seung; Im, Sung Ju; Noh, Sang Do; Son, Ji Yeon; Kim, Hyun

doi:10.1080/0951192x.2019.1599439

Cited by 151 publications

(44 citation statements)

References 28 publications

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“…When 'things' are computerized and connected, it is possible to make a digital model of not only individual machines or factories but also components and final products moving through the production processes-that is, a digital shadow of the entire system and all its elements [34,56]. The digital shadow represents a digital state map of the production system and accepts data from the connected elements of that system to present it in a form that is typically visual, and which production managers and planners can use to simulate and plan future states and operations of the system.…”

Section: Transparentmentioning

confidence: 99%

Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications

2020

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Many companies are struggling to manage their production systems due to increasing market uncertainty. While emerging ‘smart’ technologies such as the internet of things, machine learning, and cloud computing have been touted as having the potential to transform production management, the realities of their adoption and use have been much more challenging than anticipated. In this paper, we explore these challenges and present a conceptual model, a use-case matrix and a product–process framework for a smart production planning and control (smart PPC) system and illustrate the use of these artefacts through four case companies. The presented model adopts an incremental approach that companies with limited resources could employ in improving their PPC process in the context of industry 4.0 and sustainability. The results reveal that while make-to-order companies are more likely to derive greater benefits from a smart product strategy, make-to-stock companies are more likely to derive the most benefit from pursuing a smart process strategy, and consequently a smart PPC solution.

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Section: Transparentmentioning

confidence: 99%

Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications

2020

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“…The Digital Twin is essential to provide the subsystems all required information (Barbosa et al, 2018;Brenner & Hummel, 2017;Havard et al, 2019). Besides, it should be able to import background data, component information, and configuration information from the physical component (Liu et al, 2019a;Park et al, 2019;Zhuang et al, 2018). The Digital Twin is used to integrate different existing IT systems, i.e., Product Lifecycle Management (PLM), Manufacturing Execution Systems (MES), etc.…”

Section: Digital Twin Typesmentioning

confidence: 99%

Digital twin: a concept in evolution

Durão¹,

Zancul²,

Schützer³

2021

Product

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Digital Twin is defined as a realistic digital model of an object's physical state, representing its interaction with the environment in the real world. The research on Digital Twin has been advancing intensively in recent years. As a result of an emerging and broad research topic, various interpretations and Digital Twin applications have been developed. In this scenario, there is an opportunity to research the Digital Twin types and understand the concept evolvement. This paper provides an overview of the Digital Twin concept, classifies the existing body of literature, and discusses the Digital Twin evolution. Therefore, this research applies a combination of methods, including bibliometrics, natural language processing, and content analysis. The results show an expansion of Digital Twin's role from an enabler of cyber-physical systems to a product lifecycle data integration and processing platform.

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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%

“…A DT should explore different synchronization options with the event points of the product, especially in the case of connectivity instability on the customer side. Moreover, it should be able to import background data, component information, and con guration information from the physical components [37][38][39].…”

Section: Closed-loop Digital Twin Applicationmentioning

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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Design and implementation of a digital twin application for a connected micro smart factory

Cited by 151 publications

References 28 publications

Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications

Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications

Digital twin: a concept in evolution

Closed-Loop Digital Twin for the Product Lifecycle

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