Automatic assembly planning based on digital product descriptions
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Some DT applications in the reviewed literature do not comply with either of the two mentioned service groups, being developed specifically to offer one single service, such as only system monitoring or performance optimization.
“Some DT applications in literature do not comply with one of the two mentioned groups, as they are developed specifically to offer one single service, such as only for system monitoring ([67,72]), or for performance optimization ([41,64,73]).”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [64]
The Introduction (p. 1) describes a digital twin that both performs assembly planning and orchestrates production resources, rather than one developed only for performance optimization. The Conceptual framework (p. 4) likewise describes its role in controlling resources. The paper does not discuss the citing document’s two service groups. (LLM, conf=0.82)
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Experimental — accuracy not yet measuredIn other reviewed cases, the system included cameras: one production robot will in the future be controlled from camera data through its DT, another was used for remote training of a robot, and another was used to evaluate the design of a process line.
“In other cases, the system is considered with the addition of cameras: in particular, in one case the system is a production robot that will be in the future controlled from data coming from the cameras through its DT [61], in another case is used for remote training of a robot [64] and in the last case is used to evaluate the design of a process line [69].”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [64]
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Experimental — accuracy not yet measuredIn the reviewed articles, DT was considered helpful for safety reasons in human-robot interaction, monitoring of smart wearable equipment, manufacturing of a produced part, VR visualization platform creation, and HMI visualization environments.
“- 6) DT was also considered helpful for 'Safety reasons' in human-robot interaction [61,63,64], in monitoring of a smart wearable equipment [67], or in the manufacturing process of a produced part [66], within a virtual reality (VR) visualization platform creation [65] or with a HMI visualization environment [60].”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [64]
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- Authors
- Sierla, S., Kyrki, V., Aarnio, P., & Vyatkin, V.
- Affiliations
- Aalto University (FI)
- Luleå University of Technology (SE)
- Corresponding author
- Sierla, Seppo
- Venue
- Computers in Industry
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 97
- Pages
- 34-46
- ISSN
- 0166-3615 (ISSN-L)
- OpenAlex
- W2788763050
- Cited by
- 95
- References
- 75
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 5 · 2023: 15 · 2022: 14 · 2021: 16 · 2020: 15 · 2019: 10 · 2018: 5
- FWCI
- 9.50
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Computers in Industry (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Aaltodoc (Aalto University) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- Funders
- Academy of Finland (13286580)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Keywords
- assembly planning, digital twin, manufacturing cells, UML, three-dimensional simulation, flexible manufacturing
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