Author
Thomas Bauernhansl
Other affiliations: University of Stuttgart, Fraunhofer Institute for Manufacturing Engineering and Automation
Bio: Thomas Bauernhansl is an academic researcher from Fraunhofer Society. The author has contributed to research in topics: Factory (object-oriented programming) & Flexibility (engineering). The author has an hindex of 22, co-authored 207 publications receiving 3436 citations. Previous affiliations of Thomas Bauernhansl include University of Stuttgart & Fraunhofer Institute for Manufacturing Engineering and Automation.
Papers
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Budapest University of Technology and Economics1, Hungarian Academy of Sciences2, Fraunhofer Institute for Manufacturing Engineering and Automation3, University of Stuttgart4, National Institute of Advanced Industrial Science and Technology5, Pennsylvania State University6, Technische Universität München7, Fraunhofer Society8, RWTH Aachen University9, University of Tokyo10
TL;DR: There are significant roots in general and in particular to the CIRP community – which point towards CPPS, and expectations towards research in and implementation of CPS and CPPS are outlined.
Abstract: One of the most significant advances in the development of computer science, information and communication technologies is represented by the cyber-physical systems (CPS). They 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 latest, and the foreseeable further developments of computer science, information and communication technologies on 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 in general – and in particular to the CIRP community – which point towards CPPS. Expectations towards research in and implementation of CPS and CPPS are outlined and some case studies are introduced. Related new R&D challenges are highlighted.
1,123 citations
TL;DR: Google DeepMind’s Deep Q Network (DQN) agent algorithm for Reinforcement Learning (RL) to production scheduling to achieve the Industrie 4.0 vision for production control.
211 citations
01 Jan 2014
TL;DR: In this paper, the authors present an overview of the vergangenen drei Industrial Revolutionen, analysieren, was in these unterschiedlichen Phasen passiert ist and wie diese Revolutionen aufeinander aufbauen.
Abstract: Wenn im Zusammenhang mit Industrie 4.0 immer wieder von der 4. Industriellen Revolution gesprochen wird, macht es Sinn, zunachst einmal einen Blick auf die vergangenen drei Revolutionen zu werfen, zu analysieren, was in diesen unterschiedlichen Phasen passiert ist und wie diese Revolutionen aufeinander aufbauen.
203 citations
01 Jan 2014
145 citations
Cited by
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TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.
Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …
33,785 citations
01 Jan 2006
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.
10,141 citations
05 Jan 2016
TL;DR: Design principles of Industrie 4.0 are identified so that academics may be enabled to further investigate on the topic, while practitioners may find assistance in identifying appropriate scenarios.
Abstract: The increasing integration of the Internet of Everything into the industrial value chain has built the foundation for the next industrial revolution called Industrie 4.0. Although Industrie 4.0 is currently a top priority for many companies, research centers, and universities, a generally accepted understanding of the term does not exist. As a result, discussing the topic on an academic level is difficult, and so is implementing Industrie 4.0 scenarios. Based on a quantitative text analysis and a qualitative literature review, the paper identifies design principles of Industrie 4.0. Taking into account these principles, academics may be enabled to further investigate on the topic, while practitioners may find assistance in identifying appropriate scenarios. A case study illustrates how the identified design principles support practitioners in identifying Industrie 4.0 scenarios.
1,954 citations
TL;DR: A comprehensive review on Industry 4.0 is conducted and presents an overview of the content, scope, and findings by examining the existing literatures in all of the databases within the Web of Science.
1,906 citations
TL;DR: A systematic literature review was carried out to analyse the academic articles within the Industry 4.0 topic that were published online until the end of June 2016 and indicates existing deficiencies and potential research directions through proposing a research agenda.
Abstract: Over the last few years, the fourth industrial revolution has attracted more and more attentions all around the world. In the current literature, there is still a lack of efforts to systematically review the state of the art of this new industrial revolution wave. The aim of this study is to address this gap by investigating the academic progresses in Industry 4.0. A systematic literature review was carried out to analyse the academic articles within the Industry 4.0 topic that were published online until the end of June 2016. In this paper, the obtained results from both the general data analysis of included papers (e.g. relevant journals, their subject areas and categories, conferences, keywords) and the specific data analysis corresponding to four research sub-questions are illustrated and discussed. These results not only summarise the current research activities (e.g. main research directions, applied standards, employed software and hardware), but also indicate existing deficiencies and potential re...
1,287 citations