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An adaptive system-of-systems approach for resilient manufacturing

Ein adaptiver System-of-Systems-Ansatz für eine resiliente Fertigung

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Abstract

To implement a resilient manufacturing system, adaptive systems are required to respond to changes and disruptions. In this article, we present a research prototype of an adaptive production system. Adaptivity is implemented here in three components and on different levels. The first component is an adaptive robotic system that can be easily trained to pick up heterogeneous parts and place them on an autonomously guided vehicle. This component implements adaptivity at the task level. The second component is a planning system that can be used to reschedule production orders on an ad hoc basis. This system also allows the simulation of machine failures to analyze resilience. This job shop planning system implements adaptivity at runtime at the level of production execution. The third component is a modular process modeling and execution system that enables adaptivity at the process level. It supports the users in redesigning production processes with the help of a graphical user interface. The overall system is modular, with the three components being run in an adaptive, agile, and decentralized way. It forms a system-of-systems that shows resilience to several disruptive events.

Zusammenfassung

Um ein resilientes Fertigungssystem zu realisieren, sind adaptive Systeme erforderlich, die auf Veränderungen und Störungen reagieren. In diesem Artikel stellen wir einen Forschungsprototyp eines adaptiven Produktionssystems vor. Adaptivität wird hier in drei Systemen und auf unterschiedlichen Ebenen umgesetzt. Das erste System ist ein adaptives Robotersystem, das leicht und schnell trainiert werden kann, heterogene Teile aufzunehmen und auf einem autonom geführten Fahrzeug abzulegen. Dieses System implementiert Adaptivität auf Aufgabenebene. Das zweite System ist ein Planungssystem, mit dem Fertigungsaufträge ad hoc umgeplant werden können. Dieses System ermöglicht auch die Simulation von Maschinenausfällen zur Analyse der Resilienz. Dieses Job-Shop-Planungssystem implementiert Adaptivität zur Laufzeit auf der Ebene der Produktionssteuerung. Das dritte System ist ein modulares Prozessmodellierungs- und -ausführungssystem, das Adaptivität auf Prozessebene ermöglicht. Es unterstützt die Anwender bei der Neugestaltung von Produktionsabläufen mit Hilfe einer grafischen Benutzeroberfläche. Das Gesamtsystem ist modular aufgebaut, wobei die drei Systeme adaptiv, agil und dezentral betrieben werden. Es bildet ein System-von-Systemen (System-of-Systems), das Resilienz gegenüber mehreren disruptiven Ereignissen zeigt.

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Notes

  1. https://pro2future.at/research-en/areas-en/area-2-en/.

  2. https://acdp.at/de/en/research/.

  3. https://www.profactor.at/en/research/industrial-assistive-systems/.

  4. https://www.jku.at/en/institute-of-software-systems-engineering/.

  5. https://www.big.tuwien.ac.at/.

  6. https://in.tum.de/i17/.

  7. https://www.pilotfabrik.at/?lang=en.

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Acknowledgements

This work has been supported by Pro2Future (FFG contract No. 881844) and Center for Digital Production(FFG contract No. 881843). Both centres are funded within the Austrian COMET Program | Competence Centers for Excellent Technologies - under the auspices of the Austrian Federal Ministry of Transport, Innovation and Technology, the Austrian Federal Ministry for Digital and Economic Affairs and of the Provinces of Upper Austria and Styria (P2F), Vienna and Niederösterreich (CDP). COMET is managed by the Austrian Research Promotion Agency FFG. It has also received support by the European Union and the State of Upper Austria within the strategic program Innovative Upper Austria 2020, project: Smart Factory Lab.

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Authors and Affiliations

  1. PROFACTOR GmbH, Im Stadtgut D1, 4407, Steyr-Gleink, Austria

    Georg Weichhart

  2. PROFACTOR GmbH, Steyr-Gleink, Austria

    Alexander Hämmerle & Andreas Pichler

  3. Technical University Munich, Munich, Germany

    Jürgen Mangler

  4. Center for Digital Production, Vienna, Austria

    Alexander Raschendorfer

  5. Johannes Kepler University Linz, Linz, Austria

    Christoph Mayr-Dorn

  6. Technical University Vienna, Vienna, Austria

    Christian Huemer

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  1. Georg Weichhart
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  2. Jürgen Mangler
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  3. Alexander Raschendorfer
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  4. Christoph Mayr-Dorn
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  5. Christian Huemer
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  7. Andreas Pichler
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Correspondence to Jürgen Mangler.

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Weichhart, G., Mangler, J., Raschendorfer, A. et al. An adaptive system-of-systems approach for resilient manufacturing. Elektrotech. Inftech. 138, 341–348 (2021). https://doi.org/10.1007/s00502-021-00912-2

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