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Operational Performance and Physical Capacity of Iberian Seaport: A Multi-criteria Analysis

机译:伊比利亚海港的运营绩效和物理容量:多准则分析

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Although sustained superior seaport performance may arise from valuable, rare, and inimitable resources, such may also result from change. Studying the logistics resource relationship within the framework of the overall performance of the main Iberian seaports performance, this paper discusses how to apply the linear additive Multi Criterion Analysis (MCA) model and Principal Component Analysis (PCA) into such an industry. The model incorporates the contribution of two different performance indicators, operational performance and physical capacity, measured by several indicators. The PCA method is applied to attain the factor loading of each indicator and to normalize the redundancy in indicators thereby producing meaningful results. We correspondingly find (a) operational performance contributed 48.77% and the physical capacity contributed 51.23% to overall performance; (b) the majority of seaports reveal a direct proportionality between their positioning in terms of physical capacity and their positioning in overall performance and (c), this relationship changes whenever the difference in indicator value proves significant.
机译:尽管持续的卓越港口性能可能源于宝贵,稀有和独特的资源,但这也可能源于变化。在伊比利亚主要海港整体绩效框架内研究物流资源关系,本文讨论了如何将线性加成多标准分析(MCA)模型和主成分分析(PCA)应用于此类行业。该模型结合了两个不同绩效指标的贡献,即运营绩效和物理能力,由几个指标衡量。 PCA方法用于获得每个指标的要素负载,并标准化指标的冗余度,从而产生有意义的结果。我们相应地发现(a)运营绩效对整体绩效的贡献为48.77%,物理容量对整体绩效的贡献为51.23%; (b)大多数海港的物理能力位置与总体性能位置之间存在直接比例关系;(c)只要指标值的差异显着,这种关系就会改变。

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