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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Vydáno v:	Computers & operations research Ročník 132; s. 105267
Hlavní autoři:	Zhang, Sicheng, Tang, Fangcheng, Li, Xiang, Liu, Jiaming, Zhang, Bowen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Ltd 01.08.2021 Pergamon Press Inc
Témata:	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
On-line přístup:	Získat plný text
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