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Data assessment for effective regional factory location selection

; ; ;

In
18th CIRP Conference on Intelligent Computation in Manufacturing Engineering / Edited by Prof. Roberto Teti

In
Procedia CIRP 138, Seiten/Artikel-Nr.:957-961

Konferenz/Event:18. CIRP Conference on Intelligent Computation in Manufacturing Engineering , Naples , Italy , CIRP ICME 2024 , 2024-07-10 - 2024-07-12

ImpressumAmsterdam [u.a.] : Elsevier

ISSN2212-8271

Online
DOI: 10.18154/RWTH-2026-02766
DOI: 10.1016/j.procir.2026.01.165

URL: https://publications.rwth-aachen.de/record/1030090/files/1030090.pdf

Einrichtungen

  1. Werkzeugmaschinenlabor WZL der RWTH Aachen (417200)
  2. Lehrstuhl für Produktionssystematik (417210)
  3. Forschungsgebiet Deep Tech Innovation (416850)

Projekte

  1. DFG project G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP) (390621612) (390621612)

Inhaltliche Beschreibung (Schlagwörter)
Fabrikplanung (frei) ; Factory planning (frei) ; location selection (frei) ; site selection (frei)

Thematische Einordnung (Klassifikation)
DDC: 670

OpenAccess:
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Dokumenttyp
Journal Article/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105030650303

Interne Identnummern
RWTH-2026-02766
Datensatz-ID: 1030090

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; OpenAccess ; SCOPUS
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417210
417200
 Record created 2026-03-04, last modified 2026-07-06
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