A hybrid multi-objective approach for real-time flexible production scheduling and rescheduling under dynamic environment in Industry 4.0 context

•Incorporation of CP into genetic algorithm.•Consideration of rescheduling upon disruptions.•Detailed discussion on parameter adaption. With the advent of industry-4.0 era, industrial production are evolving towards high flexibility, diversity, customisation, and dynamism. We address a realistic sce...

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Veröffentlicht in:	Computers & operations research Jg. 132; S. 105267
Hauptverfasser:	Zhang, Sicheng, Tang, Fangcheng, Li, Xiang, Liu, Jiaming, Zhang, Bowen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.08.2021 Pergamon Press Inc
Schlagworte:	Algorithms Constraint programming Dynamic production scheduling Genetic algorithm Heuristic methods Industry 4.0 Integrated processing planning and assembly scheduling Job shop scheduling Job shops Multi-objective optimisation Multiple objective analysis Operations research Optimization Production scheduling Real time Scheduling Sensitivity analysis Integrated processing planning and assembly scheduling Genetic algorithm Constraint programming Dynamic production scheduling Multi-objective optimisation
ISSN:	0305-0548, 0305-0548
Online-Zugang:	Volltext
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