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Development of a Knowledge-Based Engineering Framework for Modeling Aircraft Production

Page Risueno, Julia and Nagel, Björn (2019) Development of a Knowledge-Based Engineering Framework for Modeling Aircraft Production. AIAA Aviation Forum, 17-21 June 2019, Dallas, Texas, USA. DOI: 10.2514/6.2019-2889

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Official URL: https://arc.aiaa.org/doi/10.2514/6.2019-2889

Abstract

Production modeling and cost estimation are among the main drivers in contemporary approaches to design aircraft and aircraft components. However, the existing methodologies presented in academia to evaluate these disciplines are not widely used in the industry because of (a) black-box behavior of the current production modeling systems, (b) lack of connection between the production modeling systems and the design process, (c) elevated cost and time needed to implement the methods, (d) confidentiality of production information, and (e) resistance to change the working methods. The research presented in this paper proposes methodology that aims to overcome These limitations by combining knowledge-based engineering with semantic web technologies in the modeling of aircraft production processes. The methodology is realized by a generic, flexible, adaptable and reusable framework for modeling production, which can evaluate the influence of different production concepts, to quantify the interactions between production processes. and aircraft design and to conduct studies of performance, and production costs.

Item URL in elib:https://elib.dlr.de/128193/
Document Type:Conference or Workshop Item (Speech)
Title:Development of a Knowledge-Based Engineering Framework for Modeling Aircraft Production
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Page Risueno, JuliaJulia.PageRisueno (at) dlr.deUNSPECIFIED
Nagel, BjörnBjoern.Nagel (at) dlr.deUNSPECIFIED
Date:June 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.2514/6.2019-2889
Status:Published
Keywords:Knowledge-Based Engineering, Semantic Web Technologies, Production Modeling
Event Title:AIAA Aviation Forum
Event Location:Dallas, Texas, USA
Event Type:international Conference
Event Dates:17-21 June 2019
Organizer:AIAA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment
Location: Hamburg
Institutes and Institutions:Institute of System Architectures in Aeronautics
Institute of System Architectures in Aeronautics > Cabin and Payload Systems
Deposited By: Page Risueno, Julia
Deposited On:16 Jul 2019 13:06
Last Modified:31 Jul 2019 20:25

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