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Adaptive automation assembly: Identifying system requirements for technical efficiency and worker satisfaction

; ; ; ; ; ; ;

In
Computers & industrial engineering 139, Seiten/Artikel-Nr.:105772

ImpressumAmsterdam [u.a.] : Elsevier Science

ISSN0360-8352

Available online 23 March 2019

Online
DOI: 10.18154/RWTH-2020-03022
DOI: 10.1016/j.cie.2019.03.036

URL: https://publications.rwth-aachen.de/record/785180/files/785180.pdf

Einrichtungen

  1. Lehrstuhl für Produktionssystematik (417210)
  2. Werkzeugmaschinenlabor WZL der RWTH Aachen (417200)


Thematische Einordnung (Klassifikation)
DDC: 004

OpenAccess:
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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85064640914
WOS Core Collection: WOS:000509784000088
OpenAlex: W2933531560

Interne Identnummern
RWTH-2020-03022
Datensatz-ID: 785180

Beteiligte Länder
France, Germany, Spain, UK

Lizenzstatus der Zeitschrift

 GO


Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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Faculty of Mechanical Engineering (Fac.4)
Publication server / Open Access
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417210
417200

 Record created 2020-03-09, last modified 2026-09-10


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