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Performance assessment of alternative SSS networks by combining KPIs and factor-cluster analysis
European Transport Research Review ( IF 4.3 ) Pub Date : 2020-10-16 , DOI: 10.1186/s12544-020-00449-z Patrizia Serra , Gianfranco Fancello
European Transport Research Review ( IF 4.3 ) Pub Date : 2020-10-16 , DOI: 10.1186/s12544-020-00449-z Patrizia Serra , Gianfranco Fancello
Performance assessment is a fundamental tool to successfully monitor and manage logistics and transport systems. In the field of Short Sea Shipping (SSS), the performance of the various maritime initiatives should be analyzed to assess the best way to achieve efficiency and guide related policies. This study proposes a quantitative methodology which can serve as a decision-support tool in the preliminary assessment and comparison of alternative SSS networks. The research is executed via a Mediterranean case study that compares a hypothetical Mediterranean ro-ro SSS network developed in the framework of a past Euro-Mediterranean cooperation project with the network of existing ro-ro liner services operating in the area. Performance benchmarking of the two networks is performed using a set of quantitative Key Performance Indicators (KPIs) and applying a factor-cluster analysis to produce homogeneous clusters of services based on the relevant variables while accounting for sample heterogeneity. Quantitative results mostly confirm the overall better performance of the prospective network and demonstrate that using KPIs and factor-cluster analysis to investigate the performance of maritime networks can provide policymakers with a preliminary wealth of knowledge that can help in setting targeted policy for SSS-oriented initiatives.
中文翻译:
通过结合KPI和因子聚类分析来评估替代SSS网络的性能
绩效评估是成功监视和管理物流和运输系统的基本工具。在短海运输(SSS)领域,应分析各种海上计划的绩效,以评估实现效率的最佳方法并指导相关政策。这项研究提出了一种定量方法,可以作为替代SSS网络的初步评估和比较中的决策支持工具。这项研究是通过一个地中海案例研究进行的,该案例将在过去的欧洲-地中海合作项目框架内开发的假设的地中海滚装SSS网络与该地区现有的滚装班轮服务网络进行了比较。这两个网络的性能基准测试是使用一组定量的关键绩效指标(KPI)进行的,并应用因子群集分析以基于相关变量生成同质的服务群集,同时考虑样本异质性。定量结果主要证实了预期网络的总体较好性能,并表明使用KPI和因子聚类分析来研究海事网络的性能可以为决策者提供初步的知识,这些知识可以帮助制定针对SSS的计划的目标政策。
更新日期:2020-10-17
中文翻译:
通过结合KPI和因子聚类分析来评估替代SSS网络的性能
绩效评估是成功监视和管理物流和运输系统的基本工具。在短海运输(SSS)领域,应分析各种海上计划的绩效,以评估实现效率的最佳方法并指导相关政策。这项研究提出了一种定量方法,可以作为替代SSS网络的初步评估和比较中的决策支持工具。这项研究是通过一个地中海案例研究进行的,该案例将在过去的欧洲-地中海合作项目框架内开发的假设的地中海滚装SSS网络与该地区现有的滚装班轮服务网络进行了比较。这两个网络的性能基准测试是使用一组定量的关键绩效指标(KPI)进行的,并应用因子群集分析以基于相关变量生成同质的服务群集,同时考虑样本异质性。定量结果主要证实了预期网络的总体较好性能,并表明使用KPI和因子聚类分析来研究海事网络的性能可以为决策者提供初步的知识,这些知识可以帮助制定针对SSS的计划的目标政策。