Simulated annealing and genetic algorithm based method for a bi-level \textit{seru} loading problem with worker assignment in \textit{seru} production systems

DOI10.3934/jimo.2019134zbMath1476.90105OpenAlexW2982442760MaRDI QIDQ2031373

Lan Luo, Zhe Zhang, Yong Yin

Publication date: 9 June 2021

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2019134

zbMATH Keywords

bi-level programminghybrid intelligent algorithmworker assignment\textit{seru} loadinglot-splitting

Mathematics Subject Classification ID

Production models (90B30)

Related Items (4)

Scheduling problem in seru production system considering DeJong's learning effect and job splitting ⋮ Exact method based on solution space cut for bi-objective Seru production ⋮ Modelling and a hybrid genetic algorithm for the equity-oriented worker assignment problem in seru production systems ⋮ An exact branch-and-bound algorithm for \textit{seru} scheduling problem with sequence-dependent setup time and release date

Uses Software

• Genocop

Cites Work

• Unnamed Item
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