用人工智能(AI)智能港口数字化:智能港口数字化的人工智能业务驱动力研究

Mohamad Abu Ghazaleh
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引用次数: 0

摘要

人工智能(AI)正在实现海上、陆地和空中交通的数字化。它有可能减少人为错误,加快操作速度。然而,人工智能是数字化和改善港口运营的更广泛过程的一部分。人工智能数字化和自主航运在港口世界至关重要;人工智能可以将人类的工作转移到目前无法完全胜任的数字平台上。在此之后,港口行业可以被描述为应用人工智能技术的自然选择,该行业以其复杂的流程和高比例的人工工作干预而闻名。本文旨在分析和探索智能港口数字化的人工智能业务驱动因素。本研究采用探索性因子分析(EFA)、验证性因子分析(CFA)和结构方程建模(SEM)方法,采用基于港口社区运营管理观点的先进管理外包解决方案(AMOS)。然后提出新的AI-Ports倡议。检查港口的增值核心任务,以确定人工智能技术的可能利用以及人工智能在港口社区的采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smartening up Ports Digitalization with Artificial Intelligence (AI): A Study of Artificial Intelligence Business Drivers of Smart Port Digitalization
Artificial intelligence (AI) is digitalizing transportation at sea, on land, and in the air. It has the potential to cut human error and make operations faster. However, AI is one part of a broader process to digitize and improve port operations. AI digitalization and autonomous shipping are critical in the port world; AI allows human work to be shifted toward digital platforms that are currently not fully capable. Following this, the ports industry can be sketched as a natural fit for applying AI technology, known for its complicated processes and the high proportion of human work intervention. This paper aims to analyze and explore the artificial intelligence Business Drivers of Smart Port Digitalization. This study employs the exploratory Factor Analysis (EFA), Confirmatory factor analysis (CFA), and structural equation modeling (SEM) approaches using Advance Managed Outsourced Solutions (AMOS) based on a ports communities operation management view. Then propose new AI-Ports initiatives. The value-added core tasks of ports are examined to determine the possible utilization of AI technology and the AI adoption within the ports community.
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