Dieses Dokument steht unter einer CreativeCommons Lizenz by-nc-nd/4.0
Verlagslink DOI: 10.1016/j.procir.2017.03.087
Titel: A cloud-based platform for automated order processing in additive Manufacturing
Sprache: English
Autor/Autorin: Rudolph, Jan-Peer 
Emmelmann, Claus 
Schlagwörter: cloud platform;automated order processing;additive manufacturing (AM)
Erscheinungsdatum: 2017
Quellenangabe: Procedia CIRP (63): 412-417
Zeitschrift oder Schriftenreihe: Procedia CIRP 
Konferenz: The 50th CIRP Conference on Manufacturing Systems 
Zusammenfassung (englisch): Additive Manufacturing (AM) is increasingly used in the industrial part production. More than almost any other manufacturing technology, AM embodies the fourth industrial revolution (Industry 4.0). Even though AM allows a nearly direct manufacturing of parts out of their CAD data, the order processing still requires a lot of manual work. This paper addresses this issue by presenting a cloud-based platform, which has the intension to integrate and automate the order processing for additively manufactured parts. In addition to facilitating the order processing of the manufacturing service provider, the platform also serves as an interface to the customer. The focus of the platform is on an automation of the order acceptance, the offer calculation, and the part screening for the identification of appropriate AM parts. The paper builds an exemplary Industry 4.0 showcase by illustrating concepts and methods for an automation of the order processing and introducing the architecture of the implemented system. This includes web-based services for the management of parts and orders as well as an integrated analysis of geometry data for checking of manufacturability and quotation costing. The evaluation examines the efficiency and effectiveness of the platform.
URI: http://tubdok.tub.tuhh.de/handle/11420/1882
DOI: 10.15480/882.1879
ISSN: 2212-8271
Institut: Laser- und Anlagensystemtechnik G-2 
Dokumenttyp: (wissenschaftlicher) Artikel
Enthalten in den Sammlungen:tub.dok

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat
1-s2.0-S2212827117302330-main.pdfVerlags-PDF632,8 kBAdobe PDFÖffnen/Anzeigen
Zur Langanzeige

Seitenansichten

3
Letzte Woche
0
Letzten Monat
checked on 10.12.2018

Google ScholarTM

Prüfe

Export

Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons