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Workforce scheduling approaches for supporting human-centered algorithmic management in manufacturing : A systematic literature review and a conceptual optimization model
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In
5th international conference on industry 4.0 and smart manufacturing (ISM 2023) / edited by Francesco Longo, Dr, Weiming Shen, professor, Antonio Padovano, Dr., Seiten/Artikel-Nr: 1573-1583
2024
Online
DOI: 10.18154/RWTH-2024-03429
DOI: 10.1016/j.procs.2024.01.155
URL: https://publications.rwth-aachen.de/record/983437/files/983437.pdf
Einrichtungen
Projekte
Inhaltliche Beschreibung (Schlagwörter)
Algorithmic Management (frei) ; Human-centered Work Design (frei) ; Mathematical Optimization Model (frei) ; Workforce Scheduling (frei)
Thematische Einordnung (Klassifikation)
DDC: 004
OpenAccess: 
PDF
Dokumenttyp
Contribution to a book/Contribution to a conference proceedings
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85189798974
WOS Core Collection: WOS:001196800601059
Interne Identnummern
RWTH-2024-03429
Datensatz-ID: 983437
Beteiligte Länder
Germany
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PDF