Joint optimization of yard crane maintenance and scheduling in import yard considering failure probability
To cope with the impact of frequent yard crane fail-ures in the import container yard of a container terminal and to improve the efficiency of the yard's container lifting opera-tions,this paper investigates the joint optimization problem of yard crane maintenance and scheduling.To be specific,a mathematical model that focuses on the impact of yard crane operation volume on its failure probability is proposed by con-sidering the safety interval of yard crane operation and the waiting time limit of container trucks.This model aims to min-imize operation,maintenance,and opportunity costs due to failure.To solve the model,a genetic algorithm embedded in a large neighborhood search is designed in accordance with the model characteristics.Numerical experiments are conduc-ted on the imported container yard of a terminal in Dalian port to verify the effectiveness of the proposed scheme and algo-rithm.Compared with other scheduling schemes and mainte-nance strategies,the proposed scheduling scheme reduces the average cost by 3.35％and 2.84％,respectively.The research results can provide decision support for the daily operation of the terminal.
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