Dienstpläne für die Industrie von morgen
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
Decentralized decision-making is a main paradigm of Industry 4.0, of which the influence on personnel planning has hardly been taken into account. While distributed control makes ad-hoc decisions, organizational lead time is required for the rostering of production personnel. In addition, individual duty times that take employee preferences into account are rarely found in production. The research project SIM4PEP tackles these challenges.
Details
| Originalsprache | Deutsch |
|---|---|
| Seiten (von - bis) | 464-467 |
| Seitenumfang | 4 |
| Fachzeitschrift | Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb : ZWF |
| Jahrgang | 120 |
| Ausgabenummer | 6 |
| Publikationsstatus | Veröffentlicht - 21 Juni 2025 |
| Peer-Review-Status | Ja |
Externe IDs
| ORCID | /0000-0002-1484-7187/work/208795847 |
|---|
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Genetic Algorithm, Industry 4.0, Roster Generation with Work Time Preferences, Simulationbased Optimization, Workforce Deployment Planning, Workforce Requirement Forecast