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Measuring the Performance of Dry Bulk Cargo Loading and Unloading Operation: Latakia Case Study

机译:测量干散货的装卸性能:拉塔基亚案例研究

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Aimed at detection and prioritization of causes of delay in dry bulk cargo loading/unloading operation at the relevant terminal of Latakia port of Syria, the present research has been conducted by use of PROMETHEE method in three stages. In the first stage, the number of lags and halts in loading/unloading operation (hereinafter referred to as L/U operation) and the involving causes during a specific period were studied. As well, brain storming cessions attended by experts from the mentioned terminal were held during which seventeen numbers of causes of delay were detected. Then, based on the criteria of determination of causes occurrence probability (occurrence frequency), the extent of causes impact on process after occurrence (severity) and probability of detection of causes before having impact on the process (detection), the causes were scored in form of a scale ranging from 1 to 10. In the second stage, using AHP method, the mentioned criteria were weighted. The criterion of occurrence probability was the most weighted (0.43) and the criterion of detection probability was the least weighted (0.26). Based on the obtained scores by each one of the causes, the matrix of decision making was formed and the mentioned causes were ranked by use of PROMETHEE method.
机译:为了对叙利亚拉塔基亚港相关码头干散货的装卸操作的延迟原因进行发现和优先排序,本研究已通过PROMETHEE方法分三个阶段进行。在第一阶段中,研究了在特定时期内装卸操作(以下称为L / U操作)中的滞后和停止的次数以及相关原因。同样,举行了由上述码头的专家参加的集体讨论,发现了十七种延误原因。然后,基于确定原因发生概率(发生频率),原因对事件发生后影响过程的程度(严重性)和对过程产生影响之前检测出原因的可能性(检测)的标准,对原因进行评分。形式的范围从1到10。在第二阶段,使用AHP方法,对上述标准进行加权。发生概率的标准权重最大(0.43),检测概率的标准权重最小(0.26)。基于每个原因的得分,形成决策矩阵,并使用PROMETHEE方法对上述原因进行排名。

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