A Comprehensive Review on Big Data-Based Potential Applications in Marine Shipping Management

Bui, Viet Duc; Nguyen, Hoang Phuong

doi:10.18517/ijaseit.11.3.15350

Cited by 8 publications

(8 citation statements)

References 57 publications

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“…Based on internationalization and diversification, the fourth-generation ports were born with a network system for enhancing the connectivity between ports in the region. This system allowed many seaports to connect and incorporate to develop the seaport system in a country and larger areas [69][70][71] Network ports were the name given to this system. As part of a worldwide transport logistics network, these ports worked hand in hand with other logistics companies operating in numerous different geographic regions.…”

Section: Seaportmentioning

confidence: 99%

Application of IoT Technologies in Seaport Management

Nguyen

et al. 2023

JOIV : Int. J. Inform. Visualization

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Seaports have a very important role in connecting freight by sea. Goods transported through seaports in the world are increasing day by day to meet human needs. This increases the pressure to apply more technologies for better port management. The world's seaports in the 4th generation, the generation in which seaports enhance connectivity to form a large network, have shown high efficiency when applying technology to port management. This optimizes port operations and connects port information into a network that improves productivity and reduces loading and unloading times. Today, the Internet of Things is the foundation for technologies to manage and optimize operations in various fields. It is considered by scientists to be a highly influential technology in the “4.0” era. The Internet of Things (IoT) technology directly affects the activities and processes of loading and unloading goods at seaports. Modern IoT-based port management technologies such as Radio Frequency Identification (RFID) and Dedicated Short Range Communications (DSRC) are contributing to the increased speed and safe movement of goods through seaports. The application of IoT in port management has become an inevitable trend and will be presented in this article. In the next generation, seaports tend to develop into smart ports based on rapidly developing technology platforms such as IoT, blockchain, and cloud computing. Smart port development also poses many issues to be resolved, including environmental issues. In this paper, the authors present some solutions to develop smart ports in an environmentally friendly manner.

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Section: Seaportmentioning

confidence: 99%

Application of IoT Technologies in Seaport Management

Nguyen

et al. 2023

JOIV : Int. J. Inform. Visualization

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“…This study established how big data can be used to analyze both conventional and unconventional data to generate revenue [41]. This study showed that big data is a new technology that must be implemented to relieve the marketing strategy in outbound campaigns, reconfigure the deal plan to make it more effective [14], and has a significant impact on management and technology as well as give a wider impact on the industry's preparedness [13].…”

Section: Figure 5 Rating Affected By Productmentioning

confidence: 99%

“…Thus, big data plays a crucial role in determining which traditional and non-traditional data can generate profits [13]. Big data is a new technology that must be used to improve the deal plan's efficiency and support the branding strategy in outbound efforts [14]. The implementation of big data analysis, on the other hand, necessitates the use of effective interactive data visualization software that offers a complete image and has quick performance, scalability, and processing time.…”

Section: Introductionmentioning

confidence: 99%

Big Data Analysis using Elasticsearch and Kibana: A Rating Correlation to Sustainable Sales of Electronic Goods

Henderi,

Irawatia,

Indra

et al. 2023

HighTech. Innov. J.

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Big data collection involves enormous amounts of raw data. To boost the sustainability of corporate value and support business intelligence and decision-making systems, in-depth data analysis is necessary. The data storage, analysis, and visualization methods, as well as the discovery of patterns and linkages, all depend on extensive data analysis. This study aims to process datasets to learn things like how ratings impact market sales transactions and how much of an impact factor connected to consumers and items have on ratings. Elasticsearch and Kibana were used for the dataset processing. This study evaluated traits related to the test parameters using a variety of test procedures. The product is scored as a representation of the product types involved in the sales transaction, and the name is assessed as a reflection of the customer. Kibana and Elasticsearch, a full-text search engine, were used in this work to do extensive data analysis on data sets. It is a visualization tool that is employed in a controlled environment to evaluate how ratings impact market exchanges for electronic goods, and it offers suggestions. The study found a substantial relationship between electronic product sales on the Amazon marketplace from 2012 to 2018. It suggested the importance of buyer constituents as users and how different product categories relate to ratings in business transactions. Doi: 10.28991/HIJ-2023-04-03-09 Full Text: PDF

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“…In modern supply chain management, one of the most critical components is the integration of operations involving the maritime and logistics sectors [37], [38]. Ports are essential nodes in the global logistics network, serving as hubs that facilitate the movement of goods between different modes of transportation, including ships, trucks, and trains, among others [39], [40]. Efficient port operations are essential for reducing the time it takes for goods to travel, saving money, and enhancing the overall efficiency of supply chain activities [41] [42].…”

Section: Introductionmentioning

confidence: 99%

An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation

Vu,

Le,

et al. 2024

JOIV : Int. J. Inform. Visualization

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This review article looks at the developing field of artificial intelligence and machine learning in maritime and marine environment management. The marine industry is increasingly interested in applying advanced AI and ML technologies to solve sustainability, efficiency, and regulatory compliance issues. This paper examines maritime and marine AI and ML applications using a deep literature review and case study analysis. Modeling ship fuel consumption, which impacts the environment and operating expenses, is a top responsibility. The study demonstrates that ML approaches such as Random Forest and Tweedie models can estimate ship fuel use. Statistical analysis demonstrates that the Random Forest model beats the Tweedie model regarding accuracy and consistency. For the training and testing datasets, the Random Forest model has high R2 values of 0.9997 and 0.9926, indicating a solid match. Low Root Mean Square Error (RMSE) and average absolute relative deviation (AARD) suggest that the model accurately reflects fuel use variability. While still performing well, the Tweedie model has lower R2 values and higher RMSE and AARD values, suggesting reduced accuracy and precision in fuel consumption prediction. These findings provide light on the potential applications of artificial intelligence and machine learning in maritime and marine environment management. Advanced analytics enables decision-makers to analyze fuel consumption patterns better, increase operational efficiency, and decrease environmental impact, thus improving maritime sustainability.

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A Comprehensive Review on Big Data-Based Potential Applications in Marine Shipping Management

Cited by 8 publications

References 57 publications

Application of IoT Technologies in Seaport Management

Application of IoT Technologies in Seaport Management

Big Data Analysis using Elasticsearch and Kibana: A Rating Correlation to Sustainable Sales of Electronic Goods

An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation

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