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Weiss, Marco and Wicke, Kai and Wende, Gerko (2022) MaSiMO - A Hybrid Experimental Platform for the Simulation and Evaluation of Data-Driven Maintenance Enterprises. In: DLRK2022 - NETZPUBLIKATIONEN. Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.. Deutscher Luft- und Raumfahrtkongress, 2022-09-27 - 2022-09-29, Dresden. doi: 10.25967/570154.
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Official URL: https://publikationen.dglr.de/?tx_dglrpublications_pi1[document_id]=570154
Abstract
The development of data-driven maintenance service providers considering "Industrie 4.0" components requires intensive research into the implementation of lifecycle data, advanced processes and their workflows, intelligent communication architectures, and smart interoperable systems with semantic capabilities. To this end, DLR-MO is operating an implementation and test environment that emulates maintenance service providers and supports future investigations, for example, self-determined interacting assets or agent-based execution systems in a cyber-physical-social system (CPSS). This model will be used to develop and improve data-driven process flows and their management, data processing and storage, automation and human-machine interactions.
| Item URL in elib: | https://elib.dlr.de/189723/ | ||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
| Title: | MaSiMO - A Hybrid Experimental Platform for the Simulation and Evaluation of Data-Driven Maintenance Enterprises. | ||||||||||||||||
| Authors: |
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| Date: | 4 November 2022 | ||||||||||||||||
| Journal or Publication Title: | DLRK2022 - NETZPUBLIKATIONEN | ||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||
| Open Access: | Yes | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||
| DOI: | 10.25967/570154 | ||||||||||||||||
| Publisher: | Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V. | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | MRO, Data-Driven, Industrie 4.0, Asset Administration Shell, Digital Twin, Cyber Physical System, Experimental Platform, Simulation Model, MaSiMO | ||||||||||||||||
| Event Title: | Deutscher Luft- und Raumfahrtkongress | ||||||||||||||||
| Event Location: | Dresden | ||||||||||||||||
| Event Type: | national Conference | ||||||||||||||||
| Event Start Date: | 27 September 2022 | ||||||||||||||||
| Event End Date: | 29 September 2022 | ||||||||||||||||
| Organizer: | Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V. | ||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
| HGF - Program: | Aeronautics | ||||||||||||||||
| HGF - Program Themes: | Efficient Vehicle | ||||||||||||||||
| DLR - Research area: | Aeronautics | ||||||||||||||||
| DLR - Program: | L EV - Efficient Vehicle | ||||||||||||||||
| DLR - Research theme (Project): | L - Digital Technologies, L - Production Technologies, L - MRO and Cabin, L - Human Factors | ||||||||||||||||
| Location: | Hamburg | ||||||||||||||||
| Institutes and Institutions: | Institute of Maintenance, Repair and Overhaul > Product Life Cycle Management | ||||||||||||||||
| Deposited By: | Weiss, Dr. Marco | ||||||||||||||||
| Deposited On: | 14 Nov 2022 08:23 | ||||||||||||||||
| Last Modified: | 24 Apr 2024 20:50 |
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