Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7033
Main Title: Method for automated structuring of product data and its applications
Author(s): Adolphy, Sebastian
Grosser, Hendrik
Kirsch, Lucas
Stark, Rainer
Type: Article
Language Code: en
Abstract: Product structures represent the data backbone for through-life management of complex systems. Product Lifecycle Management (PLM) Systems are used to maintain product structures and track product changes. However, in maintenance, repair and overhaul (MRO) product composition often is unknown when MRO service providers are not the original manufacturers. Thus, MRO processes start with an exhaustive product diagnosis to identify elements to be maintained or replaced. Existing 3D scanning and data post processing methods have to be improved to acquire structured product data. This paper presents a method for automated derivation of product structures from 3D assembly models.
URI: https://depositonce.tu-berlin.de//handle/11303/7873
http://dx.doi.org/10.14279/depositonce-7033
Issue Date: 2015
Date Available: 28-May-2018
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): product structure
graph theory
product data management
reverse engineering
3D scanning
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Journal Title: Procedia CIRP
Publisher: Elsevier
Publisher Place: Amsterdam
Volume: 38
Publisher DOI: 10.1016/j.procir.2015.07.063
Page Start: 153
Page End: 158
ISSN: 2212-8271
Appears in Collections:FG Industrielle Informationstechnik » Publications

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