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  • Search: subject:"genetic algorithm with repair operators"
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Year of publication
Subject
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Industry 4.0 2 Integrated workforce rostering and job shop scheduling problem 2 decentral production control 2 genetic algorithm with repair operators 2 workforce requirement planning 2 Crew scheduling 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Manufacturing system 1 Personaleinsatzplanung 1 Production control 1 Produktionssteuerung 1 Produktionssystem 1 Scheduling problem 1 Scheduling-Verfahren 1 Simulation 1
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Online availability
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Free 2 CC license 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Günsel, Christian 2 Kühn, Mathias 2 Schmidt, Thorsten 2 Schwemmer, Julia 2
Published in...
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Logistics Research 1 Logistics research 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Workforce rostering for decentrally controlled production systems: A simulation-based optimization framework using a genetic algorithm
Schwemmer, Julia; Günsel, Christian; Kühn, Mathias; … - In: Logistics Research 16 (2023) 1, pp. 1-26
Decentral production control plays a crucial role within the paradigm of Industry 4.0. Due to the fast and flexible decisions on allocation and sequencing required by this type of control, there is no baseline production schedule in advance. This creates a dilemma for efficient staff deployment...
Persistent link: https://www.econbiz.de/10014542135
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Cover Image
Workforce rostering for decentrally controlled production systems : a simulation-based optimization framework using a genetic algorithm
Schwemmer, Julia; Günsel, Christian; Kühn, Mathias; … - In: Logistics research 16 (2023) 1, pp. 1-26
Decentral production control plays a crucial role within the paradigm of Industry 4.0. Due to the fast and flexible decisions on allocation and sequencing required by this type of control, there is no baseline production schedule in advance. This creates a dilemma for efficient staff deployment...
Persistent link: https://www.econbiz.de/10014514933
Saved in:
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