Integrating simulation and optimization to schedule loading operations in container terminals

DOI10.1016/j.cor.2008.06.010zbMath1179.90169OpenAlexW2150347838MaRDI QIDQ1000987

Qingcheng Zeng, Zhong-Zhen Yang

Publication date: 12 February 2009

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2008.06.010

zbMATH Keywords

genetic algorithmcontainer terminalsimulation optimizationhybrid flow shop problem

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Case-oriented studies in operations research (90B90)

Related Items (8)

Optimization for integrated scheduling of intelligent handling equipment with bidirectional flows and limited buffers at automated container terminals ⋮ Hybrid evolutionary computation methods for quay crane scheduling problems ⋮ Combining mixed integer programming and constraint programming to solve the integrated scheduling problem of container handling operations of a single vessel ⋮ TOPSIS and AHP techniques for selecting the most efficient marine container yard gantry crane ⋮ Scheduling quay cranes and shuttle vehicles simultaneously with limited apron buffer capacity ⋮ An integrated artificial neural network-computer simulation for optimization of complex tandem queue systems ⋮ Multi objective optimization of coordinated scheduling of cranes and vehicles at container terminals ⋮ A genetic algorithm for optimization of integrated scheduling of cranes, vehicles, and storage platforms at automated container terminals

Cites Work

• Crane scheduling in container yards with inter-crane interference
• A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal
• A simulation model for the Kwai Chung container terminals in Hong Kong
• A multiple-crane-constrained scheduling problem in a container terminal
• A crane scheduling method for port container terminals
• Object oriented model for container terminal distributed simulation

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