Stefan Oechsle

Herr M.Sc.

Wissenschaftlicher Mitarbeiter "Echtzeitkommunikation und Steuerungshardware"
Institut für Steuerungstechnik der Werkzeugmaschinen und Fertigungseinrichtungen

Kontakt

+49 711 685 82475
E-Mail

Seidenstr. 36
70174 Stuttgart
Deutschland
Raum: 5.021

Sprechstunde

Nach Vereinbarung

Fachgebiet

Time-Sensitive Networking (TSN)
Engineering konvergenter Netzwerke und verteilter Echtzeitanwendungen

Publikationen

Meine Veröffentlichungen:

2024
1. Oechsle, Stefan ; Frick, Florian ; Walker, Moritz ; Lechler, Armin ; Verl, Alexander: Endpoint Architecture for Distributed Real-Time Applications Based on TSN. In: 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS), 2024, S. 41–48
  - BibTeX
  - Link
  BibTeX
  @inproceedings{10540878, abstract = {Distributed real-time applications perform deterministic tasks across multiple connected compute platforms, referred to as endpoints. Deterministic behavior of the communication and the compute are prerequisites, but coordinating and managing both in a holistic way is a significant challenge. Converged real-time networks based on Time-Sensitive Networking (TSN) are considered the key enabler across industries for the required connectivity. To date, the potential of TSN cannot be exploited due to many sub-standards still being under development, gaps in the management and configuration functions, lack of best practices and unresolved integration with higher application layers and domain specific engineering. Previous work, focusing on a modular open source framework for the engineering and management of distributed real-time applications, identified a unified approach for TSN-based endpoints as a key gap. This paper presents a novel endpoint architecture to operate, engineer and manage distributed real-time applications by seamlessly integrating real-time networking and compute. The architecture provides interfaces to a central engineering, allows to integrate centralized as well as distributed network management and offers a unified data management. An abstraction layer for applications allows the efficient use and complements existing open source solutions.}, author = {Oechsle, Stefan and Frick, Florian and Walker, Moritz and Lechler, Armin and Verl, Alexander}, booktitle = {2024 IEEE 20th International Conference on Factory Communication Systems (WFCS)}, doi = {10.1109/WFCS60972.2024.10540878}, issn = {2835-8414}, month = {04}, pages = {41-48}, title = {Endpoint Architecture for Distributed Real-Time Applications Based on TSN}, url = {https://doi.org/10.1109/WFCS60972.2024.10540878}, year = 2024 }
  Link
  https://doi.org/10.1109/WFCS60972.2024.10540878
2023
1. Neubauer, Michael ; Reiff, Colin ; Walker, Moritz ; Oechsle, Stefan ; Lechler, Armin ; Verl, Alexander: Cloud-based evaluation platform for software-defined manufacturing - Stuttgarter Maschinenfabrik as a realization example of an Industry 4.0 production. In: at - Automatisierungstechnik Bd. 71 (2023), S. 351–363
  - BibTeX
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  BibTeX
  @article{NeubauerReiffWalkerOechsleLechlerVerl+2023+351+363, abstract = {Software-Deﬁned Manufacturing (SDM) is a new paradigm for how to manufacture in the Industry 4.0 factory of the future. The approach requires a fundamental change in thinking and reinvention of central business models in production technology. This paper discusses the main challenges on the way to a software-deﬁned factory of the future and illustrates possible solutions. An exemplary future factory is presented, in which the validation of the solutions is carried out. For this purpose, cloud-based Computerized Numerical Control (CNC) is considered as use case. Experimental results demonstrate the proof of concept and show the potential for further applications.}, author = {Neubauer, Michael and Reiff, Colin and Walker, Moritz and Oechsle, Stefan and Lechler, Armin and Verl, Alexander}, doi = {doi:10.1515/auto-2022-0137}, journal = {at - Automatisierungstechnik}, number = 5, pages = {351--363}, title = {Cloud-based evaluation platform for software-defined manufacturing - Stuttgarter Maschinenfabrik as a realization example of an Industry 4.0 production}, url = {https://doi.org/10.1515/auto-2022-0137}, volume = 71, year = 2023 }
  Link
  https://doi.org/10.1515/auto-2022-0137
2. Oechsle, Stefan ; Walker, Moritz ; Fischer, Marc ; Frick, Florian ; Lechler, Armin ; Verl, Alexander: Real-Time Capable Architecture for Software-Defined Manufacturing. In: 2036, A. (Hrsg.) ; 2036, A. (Hrsg.): . Bd. Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains : Springer, 2023 — ISBN 978-3-031-27932-4, S. 3–13
  - BibTeX
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  BibTeX
  @inbook{inbook, author = {Oechsle, Stefan and Walker, Moritz and Fischer, Marc and Frick, Florian and Lechler, Armin and Verl, Alexander}, doi = {10.1007/978-3-031-27933-1_1}, editor = {2036, Arena}, isbn = {978-3-031-27932-4}, month = {06}, pages = {3-13}, publisher = {Springer}, title = {Real-Time Capable Architecture for Software-Defined Manufacturing}, url = {https://doi.org/10.1007/978-3-031-27933-1_1}, volume = {Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains}, year = 2023 }
  Link
  https://doi.org/10.1007/978-3-031-27933-1_1
3. Oechsle, Stefan ; Frick, Florian ; Lechler, Armin ; Verl, Alexander: A modular configuration and management framework for distributed real-time applications based on converged networks using TSN. In: Procedia CIRP. Bd. 118 : Elsevier BV, 2023, S. 38–43
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  @inproceedings{oechsle2023modular, abstract = {Industrial control systems are distributed real-time applications deployed on field and controller devices, connected by fieldbuses. Their lack of interoperability, mutually and towards IT-systems, is a major obstacle for the digitalization. Converged networks are considered as the solution across industries with Time-Sensitive Networking (TSN) as the enabling technology. To ease the adoption of TSN for industrial automation, a modular framework was developed for future engineering tools. The core of the framework consists of a module management including interfaces and a YANG-based datastore, maintaining a system-wide data model. Modules are provided for network configuration implementing CUC-functions, monitoring and container-based application and deployment.}, author = {Oechsle, Stefan and Frick, Florian and Lechler, Armin and Verl, Alexander}, doi = {10.1016/j.procir.2023.06.008}, journal = {Procedia CIRP}, pages = {38--43}, publisher = {Elsevier BV}, title = {A modular configuration and management framework for distributed real-time applications based on converged networks using TSN}, url = {https://doi.org/10.1016/j.procir.2023.06.008}, volume = 118, year = 2023 }
  Link
  https://doi.org/10.1016/j.procir.2023.06.008
4. Walker, Moritz ; Klingel, Lars ; Oechsle, Stefan ; Neubauer, Michael ; Lechler, Armin ; Verl, Alexander: Safeguarded Continuous Deployment of Control Containers through Real-Time Simulation. In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), 2023, S. 1–8
  - BibTeX
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  BibTeX
  @inproceedings{10275659, author = {Walker, Moritz and Klingel, Lars and Oechsle, Stefan and Neubauer, Michael and Lechler, Armin and Verl, Alexander}, booktitle = {2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)}, doi = {10.1109/ETFA54631.2023.10275659}, pages = {1-8}, title = {Safeguarded Continuous Deployment of Control Containers through Real-Time Simulation}, url = {http://dx.doi.org/10.1109/ETFA54631.2023.10275659}, year = 2023 }
  Link
  http://dx.doi.org/10.1109/ETFA54631.2023.10275659
2019
1. Reiff, Colin ; Oechsle, Stefan ; Eger, Florian ; Verl, Alexander: Web-based Platform for Data Analysis and Monitoring. In: Procedia CIRP Bd. 86 (2019), S. 31–36. — 7th CIRP Global Web Conference
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  BibTeX
  @article{noauthororeditor, abstract = {With the increasing number of sensors installed in production systems and the associated amount of recorded data, a high potential for optimizing manufacturing processes is offered. Based on the gathered information, data analyzing methods can be used to identify correlations and thus, optimize complex multi-stage production systems with the goal of zero-defect manufacturing. For this purpose, multiple statistical methods have to be applied, which is often a time-consuming task and currently requires trained and experienced specialists. Furthermore, the investigated data must be kept up to date for the early recognition of changes possibly leading to cost-intensive scrap and production downtimes. To address these issues, a web-based platform with an intuitive user interface was developed. The platform can access and process various data sources using modular methods. In addition, as part of continuous monitoring, the results of these analyzing steps can be dynamically calculated. The aim of the platform is to make complex analysis processes accessible to machine operators and thus to combine domain expertise and statistical knowledge. The paper describes the underlying architecture and the relevant interfaces of the platform.}, author = {Reiff, Colin and Oechsle, Stefan and Eger, Florian and Verl, Alexander}, doi = {https://doi.org/10.1016/j.procir.2020.01.009}, journal = {Procedia CIRP}, note = {7th CIRP Global Web Conference}, pages = {31-36}, title = {Web-based Platform for Data Analysis and Monitoring}, url = {https://www.sciencedirect.com/science/article/pii/S2212827120300093}, volume = 86, year = 2019 }
  Link
  https://www.sciencedirect.com/science/article/pii/S2212827120300093

Stefan Oechsle

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2024

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2023

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2019

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Stefan Oechsle

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Publikationen

2024

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2023

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2019

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