elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

MaSiMO - A Hybrid Experimental Platform for the Simulation and Evaluation of Data-Driven Maintenance Enterprises.

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.

[img] PDF
3MB

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/
Document Type:Conference or Workshop Item (Speech)
Title:MaSiMO - A Hybrid Experimental Platform for the Simulation and Evaluation of Data-Driven Maintenance Enterprises.
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Weiss, MarcoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wicke, KaiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wende, GerkoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
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

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.