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港口数字化水平评估。

Ports Digitalization Level Evaluation.

机构信息

Klaipeda Shipping Research Centre, Marine Engineering Department, Klaipeda University, V. Berbomo Str. 7-5, LT-92219 Klaipeda, Lithuania.

Faculty of Maritime Technology and Transport, West Pomeranian University of Technology, Szczecin, Ave. Piastów 41, 71-065 Szczecin, Poland.

出版信息

Sensors (Basel). 2021 Sep 13;21(18):6134. doi: 10.3390/s21186134.

DOI:10.3390/s21186134
PMID:34577341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8470655/
Abstract

Currently, seaports are actively searching for methods and ways to improve their operational efficiency. Digitalization is considered as one of the main directions of current ports' development. Ports' digitalization levels are varied and may depend on different factors, including port size, traditions, turnover and handled cargo type, etc. Ports often face decision-making challenges related to assessment of their digitization level and choice of development directions. The article aims to develop a methodology to evaluate ports' digitalization level. A marketing research tool was used to collect the data needed for the analysis. A mathematical model allowing simulations is proposed and a case study of 30 ports located in the Baltic, North and Mediterranean Seas regions is explored. Based on conducted calculations, a ranking of analysed ports considering their digitalization level was created. The ports were compared within groups of small, medium-sized and large ports. It was estimated that the digitalization level in small and medium-sized ports is about 30% lower than the level of large seaports. The research results may be of interest to seaports striving to assess their level of digitalization and choose the best digital improvement solutions.

摘要

目前,海港正在积极寻找提高运营效率的方法和途径。数字化被认为是当前港口发展的主要方向之一。港口的数字化水平各不相同,可能取决于不同的因素,包括港口规模、传统、吞吐量和处理货物类型等。港口经常面临与评估其数字化水平和选择发展方向相关的决策挑战。本文旨在开发一种评估港口数字化水平的方法。使用市场研究工具收集了分析所需的数据。提出了一种允许模拟的数学模型,并探讨了位于波罗的海、北海和地中海地区的 30 个港口的案例研究。根据进行的计算,创建了一个考虑港口数字化水平的分析港口排名。对小型、中型和大型港口的港口进行了比较。据估计,小型和中型港口的数字化水平比大型海港低约 30%。研究结果可能对努力评估自身数字化水平并选择最佳数字化改进解决方案的港口具有吸引力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/3dc7d24cec6e/sensors-21-06134-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/1d2ded433c06/sensors-21-06134-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/38bae58d03fe/sensors-21-06134-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/83ca8490f02f/sensors-21-06134-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/8eab88f9605f/sensors-21-06134-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/a7afdab379f7/sensors-21-06134-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/b0f027253a0c/sensors-21-06134-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/f22490eae5bf/sensors-21-06134-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/22208093354d/sensors-21-06134-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/3dc7d24cec6e/sensors-21-06134-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/1d2ded433c06/sensors-21-06134-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/38bae58d03fe/sensors-21-06134-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/83ca8490f02f/sensors-21-06134-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/8eab88f9605f/sensors-21-06134-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/a7afdab379f7/sensors-21-06134-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/b0f027253a0c/sensors-21-06134-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/f22490eae5bf/sensors-21-06134-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/22208093354d/sensors-21-06134-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fae0/8470655/3dc7d24cec6e/sensors-21-06134-g009.jpg

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