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首页> 外文期刊>International Journal of Production Research >Integrated scheduling of rake and stockyard management with ship berthing: a block based evolutionary algorithm
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Integrated scheduling of rake and stockyard management with ship berthing: a block based evolutionary algorithm

机译：耙泊和堆场管理与船舶停泊的集成调度：基于块的进化算法

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An integrated problem of optimising the operations at a commercial bulk material port terminal is studied in this paper. We simultaneously optimise the stockyard operations and rake schedule for outbound cargo, in conjunction with the arriving vessels and the status of the stockyards at the port. A mixed integer linear programming model for the problem is developed while incorporating the inherent complexities of the integrated model. To solve the real-life instances, two heuristic methods are proposed specifically for the considered problem. Firstly, genetic algorithm coupled with a greedy heuristic and later, block-based evolutionary algorithm (BBEA) is employed. After applying both techniques, we obtain the optimised schedule for loading of rakes and allotment of stockyard space for vessels as well as rakes at the terminal. Finally, we test the results of both models in three traffic scenarios between themselves and with real-life data from a port situated along the Eastern coast of India. The study resulted in significant reduction of turnaround time for rakes at the port terminal, which in turn lead to monetary savings. The model also automates the day to day operational decision-making at the port.
机译：本文研究了优化商业散装物料港口码头操作的综合问题。我们同时结合到达的船只和港口的堆场状况，优化出站货物的堆场操作和耙程。在结合集成模型固有的复杂性的同时，开发了用于该问题的混合整数线性规划模型。为了解决现实生活中的实例，针对所考虑的问题专门提出了两种启发式方法。首先，将遗传算法与贪婪启发式算法相结合，然后采用基于块的进化算法（BBEA）。应用这两种技术之后，我们获得了耙的装载和分配给船只以及码头的耙的优化的调度计划。最后，我们使用来自印度东部沿海港口的真实数据，在它们之间的三种交通场景中测试了这两种模型的结果。该研究显着减少了港口码头耙子的周转时间，从而节省了金钱。该模型还可以自动执行港口日常运营决策。

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