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首页> 外文期刊>nternational Journal of Shipping and Transport Logistics >Optimisation of yard crane scheduling considering velocity coefficient and preventive maintenance
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Optimisation of yard crane scheduling considering velocity coefficient and preventive maintenance

机译:考虑速度系数和预防性维护的院子起重机调度优化

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摘要

This paper develops a mixed integer programming model to formulate the multiple yard cranes scheduling problem (YCSP) in container terminals. The model performs a given set of jobs with different ready times in a yard zone, considering yard cranes interference. Both preventive maintenance and velocity coefficient for yard cranes are considered in this model, which makes it more realistic and applicable. The proposed model aims to minimise the mean completion time of total jobs and minimise the maximum completion time among the yard cranes. Due to NP-hardness of proposed problem, we use particle swarm optimisation (PSO) and simulated annealing (SA) methods to solve the model in order to evaluate accuracy and reliability of results. The numerical performance of each method is examined. It is indicated that the SA algorithm demonstrates a reasonable CPU time and acceptable accuracy of the results. Results show the ability of the model to optimise yard crane scheduling in container terminals considering preventive maintenance and the velocity coefficient of yard cranes.
机译:本文建立了一个混合整数规划模型,以拟定集装箱码头的多堆场起重机调度问题(YCSP)。考虑到堆场起重机的干扰,该模型在堆场区域中具有不同准备时间的一组给定作业。该模型同时考虑了堆场起重机的预防性维护和速度系数,这使其更加现实和适用。提出的模型旨在最小化全部作业的平均完成时间,并最小化堆场起重机之间的最大完成时间。由于所提出问题的NP难度,我们使用粒子群优化(PSO)和模拟退火(SA)方法对模型进行求解,以评估结果的准确性和可靠性。检查每种方法的数值性能。结果表明,SA算法具有合理的CPU时间和可接受的结果准确性。结果表明,该模型在考虑预防性维护和院子起重机速度系数的情况下,能够优化集装箱码头的院子起重机调度。

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