Industrial Internet of Things (IIoT) and Other Industry 4.0 Technologies in Spare Parts Warehousing in the Oil and Gas Industry: A Systematic Literature Review

Khan, Natalia; Solvang, Wei Deng; Yu, Hao

doi:10.3390/logistics8010016

Cited by 3 publications

(1 citation statement)

References 124 publications

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“…System literature review (SLR) is also known as secondary research, while the individual studies that contribute to the systematic review itself are known as primary studies [5]. An SLR is a research approach that reviews the related literature with respect to one or more particular research questions [6].…”

Section: System Literature Reviewmentioning

confidence: 99%

Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review

Hirata,

Hansen

2024

Logistics

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Background: Autonomous ships have the potential to increase operational efficiency and reduce carbon footprints through technology and innovation. However, there is no comprehensive literature review of all the different types of papers related to autonomous ships, especially with regard to their integration with ports. This paper takes a systematic review approach to extract and summarize the main topics related to autonomous ships in the fields of container shipping and port management. Methods: A machine learning method is used to extract the main topics from more than 2000 journal publications indexed in WoS and Scopus. Results: The research findings highlight key issues related to technology, cybersecurity, data governance, regulations, and legal frameworks, providing a different perspective compared to human manual reviews of papers. Conclusions: Our search results confirm several recommendations. First, from a technological perspective, it is advised to increase support for the research and development of autonomous underwater vehicles and unmanned aerial vehicles, establish safety standards, mandate testing of wave model evaluation systems, and promote international standardization. Second, from a cyber–physical systems perspective, efforts should be made to strengthen logistics and supply chains for autonomous ships, establish data governance protocols, enforce strict control over IoT device data, and strengthen cybersecurity measures. Third, from an environmental perspective, measures should be implemented to address the environmental impact of autonomous ships. This can be achieved by promoting international agreements from a global societal standpoint and clarifying the legal framework regarding liability in the event of accidents.

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Section: System Literature Reviewmentioning

confidence: 99%

Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review

Hirata,

Hansen

2024

Logistics

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H2LWRF-PDR: An efficient indoor positioning algorithm using a single Wi-Fi access point and Pedestrian Dead Reckoning

Kumar,

Torres-Sospedra,

Chaurasiya

2024

Internet of Things

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Role of IIoT as New Business Model Innovation in the Manufacturing Industry

Mousa,

Bouraoui

2024

Int. J. Innovation Technol. Management

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The manufacturing Industry in Europe plays a significant role in economic growth and development. Given the increased role of technology in this sector, the Industrial Internet of Things (IIoT) is one of the technological advancements that improve the Business Model (BM) efficacy in various manufacturing industries. However, research into the role of IIoT as a BM in the manufacturing industry is limited despite its contribution to the success and performance of the firms. Therefore, this study explores the role that IIoT plays as a BM in various manufacturing industries. A survey was conducted utilizing open-ended questionnaires across 60 manufacturing firms in Europe including automotive suppliers, information and communication, machine and plant engineering, electrical engineering, and medical engineering. The findings indicate that IIoT as a BM has different levels of contribution across the manufacturing industry with glaring variations in terms of performance between information and communication firms as well as automotive. This study can act as a guideline for further research on the complex relationship between IIoT as a BM and firms’ performance to influence decision-making processes within the manufacturing industry. Given that this is a pre-study, the limitations, and recommendations for future research are highlighted.

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Industrial Internet of Things (IIoT) and Other Industry 4.0 Technologies in Spare Parts Warehousing in the Oil and Gas Industry: A Systematic Literature Review

Cited by 3 publications

References 124 publications

Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review

Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review

H2LWRF-PDR: An efficient indoor positioning algorithm using a single Wi-Fi access point and Pedestrian Dead Reckoning

Role of IIoT as New Business Model Innovation in the Manufacturing Industry

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