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We study an inbound container housekeeping problem in an automated container terminal. We propose an integer programming model to characterize the problem and provide a meta-heuristic algorithm to solve it. To tackle the random factors in the future retrieval process, a simulation module is embedded in the process of evaluating the objective value. By computational experiments, we demonstrate the effectiveness and efficiency of our method. Moreover, we also conduct sensitivity analysis to examine the impacts of different algorithm parameters. [ABSTRACT FROM AUTHOR]

Apart from efficiency, more and more sustainability issues have been confronting the operations of ports and shipping businesses, such as emission mitigation, increased costs, irrational investment decisions, and market turmoil. The world trade and international freight transport rely mainly on the maritime industry, while the maritime industry in turn survives on the efficient and sustainable operations of ports and shipping businesses. The partial least squares structural equation modelling (PLS-SEM) technique is adopted to test several hypotheses involving internal information integration, external information integration, port community operational capability, and port performance. [Extracted from the article]