Systems analysis for deployment of internet of things (IoT) in the maritime industry

Hiekata, Kazuo; Wanaka, Shinnosuke; Mitsuyuki, Taiga; Ueno, Ryuji; Wada, Ryota; Moser, Bryan R.

doi:10.1007/s00773-020-00750-5

Cited by 30 publications

(9 citation statements)

References 21 publications

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“…To consider the many stakeholders, the method of systems engineering was considered to be effective. In recent years, Hiekata et al [23] developed a system to support the introduction of Internet of things (IoT) technologies in the maritime industry by considering the relations between stakeholders using the stake holder value network [34] and object-process methodology [35]. When using systems engineering techniques, it is necessary to improve the model to support multiple stakeholders in the maritime industry.…”

Section: Discussionmentioning

confidence: 99%

“…In recent years, a system engineering approach has been introduced effectively for analysis and decision-making of issues with complicated causal relationships. In the field of shipbuilding, Hiekata et al [23] have proposed a method for evaluating the impact of IoT technology in the maritime industry using the system engineering method. The authors [24] developed the shipbuilding demand-forecasting model using system dynamics, which is one of the system engineering approaches.…”

Section: Research Objectivementioning

confidence: 99%

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Shipbuilding capacity optimization using shipbuilding demand forecasting model

2021

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The shipbuilding industry has been drastically affected by demand fluctuations. Currently, it faces intense global competition and a crisis because of an imbalance between supply and demand. This imbalance of supply and demand is caused by an excess of shipbuilding capacity. The Organisation for Economic Co-operation and Development has considered adjusting the shipbuilding capacity to reduce the imbalance based on the demand forecast. On the other hand, demand forecast of shipbuilding is a complex issue because the demand is influenced indirectly by adjustments in shipbuilding capacity. Therefore, it is important to examine the influence of construction capacity adjustments on the future demand of ships based on demand forecasting for the sustainable growth of the shipbuilding industry. In this study, shipbuilding capacity adjustment is considered using a proposed simulation system based on a demand-forecasting model. Additionally, the system dynamics model of a previous study is improved by developing a ship price-prediction model for evaluating the shipbuilding capacity-adjustment scenario. We conduct simulations using the proposed demand-forecasting model and system to confirm the effectiveness of the proposed model and system. Furthermore, several shipbuilding capacity-adjustment scenarios are discussed using the proposed system.

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Section: Discussionmentioning

confidence: 99%

Section: Research Objectivementioning

confidence: 99%

Shipbuilding capacity optimization using shipbuilding demand forecasting model

2021

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“…Also, they are further specialized in the several processes: "Unloading from Ship to Shore", "Transporting", "Accommodating Fig. 2 SVN surrounding merchant vessel, adopted from [26] Medical Staff", "Unfolding Onboard", and "Transporting Medical Staff/Patient". These processes are fulfilled by the parts of Hospital Ship which is constructed exclusively for the purpose.…”

Section: Object Process Methodology For the Architectural Decision An...mentioning

confidence: 99%

Dynamic capabilities of maritime infrastructure: conceptual design of merchant vessels with usability in crisis

et al. 2023

Self Cite

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Today’s social infrastructure, e.g., transportation, medical services, energy supply and distribution, may become temporarily unable to provide functions due to the damage to buildings or excessive congestion resulting from threats, such as natural disasters, rising sea levels, pandemics. Maritime-based responses, typified by hospital ships, are drawing attention as a method to mitigate these effects. However, while designing emergency infrastructure, it is necessary to consider not only the value of these systems in emergencies but also during normal times. This study adopts the systems approach, a set of methods to conduct decision-making when complex stakeholders’ relationships are involved. We focus on medical functions and propose a conceptual design for a flexible hospital ship with dynamic capability during emergencies as well as normal times. Specifically, we examine the optimal combination of ship type, size, navigation range during normal times, operations during emergencies, and contract approaches. Quantitative evaluation of utility during emergencies and economic efficiency are considered in tradeoff. In addition to the conventional cost-based study, we examined benefit–cost through ship sharing, in which ships are leased to the private sector as merchant vessels during normal times to generate revenue.

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“…The IoT has proliferated in recent years, finding applications in various industries, such as energy, health, logistics, security, and agro-industry [2]. The maritime sector also exploits IoT [3], focusing mainly on logistics [2]. However, IoT applications can also be applied to maritime and marine activities such as aquaculture, offshore platforms, ocean exploration, fishing vessels and generic maritime monitoring [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Unveiling LoRa’s Oceanic Reach: Assessing the Coverage of the Azores LoRaWAN Network from an Island

Pinelo,

Rocha,

Arvana

et al. 2023

Sensors

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In maritime settings, effective communication between vessels and land infrastructure is crucial, but existing technologies often prove impractical for energy-sensitive IoT applications, like deploying sensors at sea. In this study, we explore the viability of a low-power, cost-effective wireless communication solution for maritime sensing data. Specifically, we conduct an experimental assessment of the Azorean Long Range Wide Area Network (LoRaWAN) coverage. Our tests involve positioning the gateway at the island’s highest point and installing end nodes on medium-sized fishing vessels. Through measurements of received signal strength indicator (RSSI), signal-to-noise ratio (SNR), and lines of sight (LOS), we showcase the potential of LoRaWAN transmissions to achieve communication distances exceeding 130 km in a LOS-free scenario over the ocean. These findings highlight the promising capabilities of LoRaWAN for reliable and long-range maritime communication of sensing data.

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Systems analysis for deployment of internet of things (IoT) in the maritime industry

Cited by 30 publications

References 21 publications

Shipbuilding capacity optimization using shipbuilding demand forecasting model

Shipbuilding capacity optimization using shipbuilding demand forecasting model

Dynamic capabilities of maritime infrastructure: conceptual design of merchant vessels with usability in crisis

Unveiling LoRa’s Oceanic Reach: Assessing the Coverage of the Azores LoRaWAN Network from an Island

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