Various industries are undergoing transformation given recently available pervasive sensors, low-cost and low-latency digital communication, and distributed control technologies. The objective of this paper is to support the introduction of Internet of things (IoT) technologies in the maritime industry. The maritime industry is analyzed as a system of systems to define performance criteria and functions to be modeled and analyzed through simulation. In this case, the simulation of a shipping system includes models of operation, cargo loading, fuel loading, and docking for maintenance. In the simulation, various kinds of IoT technologies are defined by several input parameters. By changing the parameters, the simulator evaluates the impact of those technologies quantitatively. As a case study, 11 IoT technologies are evaluated and compared. The result reveals several insights that weight of the ship is the most impactful for the profit, controlling damage of the ship’s hull by operation is the most important for safety, and improvement in efficiency at ports is the key to reducing delay time in operation. Moreover, this paper shows that the sensitivity analysis by changing the input parameters can support the decision making of how much investment will be effective in considering the technologies’ levels.

中文翻译：

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在海运业部署物联网 (IoT) 的系统分析

鉴于最近可用的无处不在的传感器、低成本和低延迟的数字通信以及分布式控制技术，各个行业都在经历转型。本文的目的是支持在海事行业引入物联网 (IoT) 技术。海运业被分析为一个系统系统，用于定义性能标准和功能，以通过模拟进行建模和分析。在这种情况下，航运系统的模拟包括操作模型、货物装载、燃料装载和用于维护的对接。在模拟中，各种物联网技术由几个输入参数定义。通过改变参数，模拟器定量评估这些技术的影响。作为案例研究，评估和比较了 11 种物联网技术。结果揭示了船舶重量对利润的影响最大的几个见解，控制操作对船体的损坏对安全最重要，提高港口效率是减少运营延误时间的关键。此外，本文表明，通过改变输入参数进行的敏感性分析可以支持在考虑技术水平时投资多少有效的决策。