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Simulated annealing based simulation optimization method for solving integrated berth allocation and quay crane scheduling problems

机译:基于模拟退火的仿真优化方法,用于解决集成泊位分配和码头起重机调度问题

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This paper proposes a simulation optimization based solution approach for the integrated Berth Allocation and Quay Crane Scheduling Problems (BAP and QCSP) considering simultaneously, for the first time, multi-quay hybrid berth layout, dynamic arrivals of vessels, stochastic handling times and non-crossing constraints of quay cranes. Initially, a Conflict-Free Quay Crane Scheduling Algorithm is proposed considering stochastic handling times. Then, a general parametric simulation model which represents the seaside operations of a typical container terminal is built. Finally, a Simulated Annealing based optimization procedure is integrated with this parametric simulation model to minimize the latest vessel departure time (i.e., makespan). The proposed simulation optimization procedure is applied to a real world inspired case problem. The results revealed that the proposed simulation optimization procedure can be used to solve large-sized real-port BAPs and QCSPs for the objective of minimizing makespan. Furthermore, the output of this simulation optimization procedure gives the decision maker the estimated berthing/unberthing times, berthing locations and quay crane schedules for each vessel for the most probable scenario.
机译:本文提出了一种基于仿真优化的基于解决方案方法,用于同时考虑的集成泊位分配和Quay起重机调度问题(BAP和QCSP),第一次,多码头混合泊位布局,船只的动态到达,随机处理时间和非 - 码头起重机的交叉限制。最初,考虑随机处理时间,提出了一种无冲突的Quay起重机调度算法。然后,构建了表示典型容器终端的海滨操作的一般参数仿真模型。最后,基于模拟的基于退火的优化过程与该参数仿真模型集成,以最大限度地减少最新的船舶出发时间(即,Makespan)。建议的仿真优化过程适用于真实世界的启发案例问题。结果表明,建议的仿真优化程序可用于解决大型实体端口BAPS和QCSPS,以实现最小化MAKESPHAN。此外,该仿真优化过程的输出为每个船只提供了决策者为最可能场景的每个船只提供估计的Berthing / Unbersthing时间,Berthing位置和码头起重机时间表。

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