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Cyber-physical production systems: roots from manufacturing science and technology
Abstract
One of the most significant directions in the development of computer science and information and communication technologies is represented by Cyber-Physical Systems (CPS) which are systems of collaborating computational entities which are in intensive connection with the surrounding physical world and its on-going processes, providing and using, at the same time, data-accessing and data-processing services available on the internet. Cyber-Physical Production Systems (CPPS), relying on the newest and foreseeable further developments of computer science, information and communication technologies on the one hand, and of manufacturing science and technology, on the other, may lead to the 4th Industrial Revolution, frequently noted as Industrie 4.0. The paper underlines that there are significant roots generally – and particularly in the CIRP community – which point towards CPPS. Expectations and the related new R&D challenges are also outlined.
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Other articles introduce the DT for 'Maintenance' purposes [48,54-59]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [48]
In the citing paper
“- 5) Other articles introduce the DT for 'Maintenance' purposes [48,54-59], such as reconditioning of old machines [53];”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [48]
In the citing paper
“like in material recovery [76] [48]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [48]
In the citing paper
“For this aspect, the articles considered can be divided into two different categories: (i) those that effectively use a cloud and build a cloud-based DT application, marked in the table as [27,34,37,43,47,48,54,56,62,67,74-76], (ii) those that construct the DT application in a virtual space with the use of a software highlighting the possibility to build it also in a cloud”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [48]
Citations
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Cited by 57
Metadata
- Authors
- Monostori, L.
- Corresponding author
- Monostori, László
- ORCID
- Monostori, László
- Venue
- at - Automatisierungstechnik
- Publisher
- Walter de Gruyter GmbH
- Published
- 2015-10-14
- Volume
- 63
- Issue
- 10
- Pages
- 766-776
- ISSN
- 0178-2312 (ISSN-L)
- 2196-677X
- OpenAlex
- W2294852665
- Cited by
- 57
- References
- 0
- Citations by year
- 2025: 4 · 2024: 4 · 2023: 2 · 2022: 7 · 2021: 5 · 2020: 12 · 2019: 10 · 2018: 2 · 2017: 7 · 2016: 4
- FWCI
- 7.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- at - Automatisierungstechnik (publishedVersion)
- SZTAKI Publication Repository (Hungarian Academy of Sciences) (submittedVersion)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
- Keywords
- cyber-physical production systems, cyber-physical systems, Industry 4.0, CIRP, Fourth Industrial Revolution, research and development challenges
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Cyber-physical production systems: roots from manufacturing science and technology. https://app.cochat.ai/papers/10.1515/auto-2015-0066
- The paper
- Monostori, L. (2015). Cyber-physical production systems: roots from manufacturing science and technology. at - Automatisierungstechnik. https://doi.org/10.1515/auto-2015-0066
