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On a containerized approach for the dynamic planning and control of a cyber - physical production system
Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, Greece.
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-1679-3319
Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, Greece.
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-3973-3394
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2020 (English)In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 64, article id 101919Article in journal (Refereed) Published
Abstract [en]

The increased complexity of modern production systems requires sophisticated system control approaches to maintain high levels of flexibility. Furthermore, the request for customized production with the introduction of heterogeneous production resources, increases the diversity of manufacturing systems making their reconfiguration complex and time consuming. In this paper, an end-to-end approach for reconfigurable cyber-physical production systems is discussed, enabled by container technologies. The presented approach enhances flexibility in a cyber-physical production system (CPPS) through the dynamic reconfiguration of the automation system and the production schedule, based on occurring events. High-level management of manufacturing operations is performed on a centralized node while the data processing and execution control is handled at the network edge. Runtime events are generated at the edge and in smart connected devices via means of a variant of IEC61499 function blocks. Software containers manage the deployment and low-level orchestration of FBs at the edge devices. All aspects of the proposed solution have been implemented on a software framework and applied in a small scale CPPS coming from the automotive industry.

Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 64, article id 101919
Keywords [en]
Cyber-physical production system, Planning, Reconfiguration, Containerization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering; VF-KDO
Identifiers
URN: urn:nbn:se:his:diva-18283DOI: 10.1016/j.rcim.2019.101919ISI: 000534233200018Scopus ID: 2-s2.0-85077509574OAI: oai:DiVA.org:his-18283DiVA, id: diva2:1411711
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Note

CC BY-NC-ND 4.0

Available from: 2020-03-04 Created: 2020-03-04 Last updated: 2024-06-19Bibliographically approved

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Senington, RichardSyberfeldt, Anna

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