关键词: 集装箱码头, 前摄&mdash, 反应, 不确定性, 集成调度, Monte Carlo抽样

Abstract: Aiming at the collaborative allocation for berth and quay crane resources of container terminals under uncertain condition,a decision framework by combining proactive scheduling plan with corresponding reactive policy was proposed,and the time buffer was introduced into proactive scheduling plan to avoid the influence of the uncertain vessel arrival time.An integrated mathematical model for continuous berth and quay crane was formulated with the objective of balancing both quality robustness and solution robustness,and an optimization algorithm of bilevel decision structure was built to solve this model.In this algorithm,NSGAⅡ framework was applied in upper level to search key decision variable codes,and a proactive heuristic with time buffer was applied in lower level to decode each individual from upper level,whose performance was evaluated by simulation under Monte Carlo sampling and two designed reactive policies.Numeral experiment was used to show the effectiveness of proposed method.

Key words: container terminal, proactive-reactive, uncertainty, integrated optimization, Monte Carlo sampling