5-Dimensional Definition for a Manufacturing Digital Twin

Bazaz, Sara Moghadaszadeh; Lohtander, Mika; Varis, Juha

doi:10.1016/j.promfg.2020.01.107

Cited by 45 publications

(29 citation statements)

References 17 publications

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“…A more detailed summary of the total of 117 obstacles in smart manufacturing is given in Table 4, sorted by category (data governance, predictive analytics, quality, other). The obstacle and feature (Table 3) subcategories differ because for instance data governance issues were overarching theme across fault detection, predictive maintenance, and HMI [21,45,60,61]. In a similar manner, cost is an obstacle for communication [62], HMI [63] and virtualization [55].…”

Section: Featuresmentioning

confidence: 99%

“…The main technologies of digital twins include data connection with physical shop-floor, modeling and verification of virtual shop-floor, management of shop-floor digital twin, evolution of digital twin, and smart production [101]. This is accompanied by user interface layer connecting the virtual and physical realms, as in the works by Bazaz, et al [21]. Digital twin applications can benefit the whole product production lifecycle, aiding in assessing the business decisions [102].…”

Section: Digital Twinsmentioning

confidence: 99%

“…Digital twin applications can benefit the whole product production lifecycle, aiding in assessing the business decisions [102]. Digital twin supports lean manufacturing and helps reduce cost and production time through optimization and transparency gain [21].…”

Section: Digital Twinsmentioning

confidence: 99%

“…Zhu et al, for example, connected digital twin to Microsoft HoloLens, paving a way for human and machine interference [105]. Some of the more common challenges introduced by digital twin are data ownership, centralization and data traceability [21,106]. These problems could be solved by incorporating smart contracts for assuring data governance [106].…”

Section: Digital Twinsmentioning

confidence: 99%

“…Cyber-Physical Systems (CPS) are further merging the cyber and physical world by means of computational technologies to improve the efficiency and flexibility of physical system [19,20]. CPS, for example, may serve as a basis for digital twins, which is the virtual model of a physical object [21] and is a technology increasingly adopted along-side Industry 4.0 approaches to enhance management, resource supervision and automation. Additionally, it must be noted that the concept of Industry 5.0 has been recently proposed as the next step.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Systematic Literature Review of Industry 4.0 Technologies within Medical Device Manufacturing

Lepasepp

Hurst

2021

Future Internet

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Ever since the emergence of Industry 4.0 as the synonymous term for the fourth industrial revolution, its applications have been widely discussed and used in many business scenarios. This concept is derived from the advantages of internet and technology, and it describes the efficient synchronicity of humans and computers in smart factories. By leveraging big data analysis, machine learning and robotics, the end-to-end supply chain is optimized in many ways. However, these implementations are more challenging in heavily regulated fields, such as medical device manufacturing, as incorporating new technologies into factories is restricted by the regulations in place. Moreover, the production of medical devices requires an elaborate quality analysis process to assure the best possible outcome to the patient. Therefore, this article reflects on the benefits (features) and limitations (obstacles), in addition to the various smart manufacturing trends that could be implemented within the medical device manufacturing field by conducting a systematic literature review of 104 articles sourced from four digital libraries. Out of the 7 main themes and 270 unique applied technologies, 317 features and 117 unique obstacles were identified. Furthermore, the main findings include an overview of ways in which manufacturing could be improved and optimized within a regulated setting, such as medical device manufacturing.

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Section: Featuresmentioning

confidence: 99%

Section: Digital Twinsmentioning

confidence: 99%

Section: Digital Twinsmentioning

confidence: 99%

Section: Digital Twinsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Systematic Literature Review of Industry 4.0 Technologies within Medical Device Manufacturing

Lepasepp

Hurst

2021

Future Internet

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Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities

Ayerbe

Berecibar

Clark

et al. 2021

Advanced Energy Materials

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As the world races to respond to the diverse and expanding demands for electrochemical energy storage solutions, lithium-ion batteries (LIBs) remain the most advanced technology in the battery ecosystem. Even as unprecedented demand for state-of-the-art batteries drives gigascale production around the world, there are increasing calls for next-generation batteries that are safer, more affordable, and energy-dense. These trends motivate the intense pursuit of battery manufacturing processes that are cost effective, scalable, and sustainable. The digital transformation of battery manufacturing plants can help meet these needs. This review provides a detailed discussion of the current and nearterm developments for the digitalization of the battery cell manufacturing chain and presents future perspectives in this field. Current modelling approaches are reviewed, and a discussion is presented on how these elements can be combined with data acquisition instruments and communication protocols in a framework for building a digital twin of the battery manufacturing chain. The challenges and emerging techniques provided here is expected to give scientists and engineers from both industry and academia a guide toward more intelligent and interconnected battery manufacturing processes in the future.The ORCID identification number(s) for the author(s) of this article can be found under https://doi.org/10.1002/aenm.202102696.

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Digital Twins of an Organization for Enterprise Modeling

Riss

Maus

Javaid

et al. 2020

Lecture Notes in Business Information Processing

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Today's dynamic business environment requires enterprises to be agile in order to remain competitive. Competition also impacts enterprise modeling (EM) aiming at the systematic development of the enterprise's business processes, organizational structures, and information systems. Although EM is a mature discipline, organizations still do not exploit the full potential of EM. We suggest, the concept of a Digital Twin of an Organization (DTO) provides a means of digitalization to introduce more agility. A DTO draws upon graph-based, machine readable knowledge representation of enterprise models. In order to run through various scenarios in real time, the DTO approach makes use of Context Spaces that provide the required information semantically structured, which improves the comprehensibility and applicability of the used models. The DTO combines EM with operational reality and, thus, increases the agility of the enterprise.

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5-Dimensional Definition for a Manufacturing Digital Twin

Cited by 45 publications

References 17 publications

A Systematic Literature Review of Industry 4.0 Technologies within Medical Device Manufacturing

A Systematic Literature Review of Industry 4.0 Technologies within Medical Device Manufacturing

Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities

Digital Twins of an Organization for Enterprise Modeling

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