Seaport Data Space for Improving Logistic Maritime Operations
The maritime industry expects several improvements to efficiently manage the operation processes by introducing Industry 4.0 enabling technologies. Seaports are the most critical point in the maritime logistics chain because of its multimodal and complex nature. Consequently, coordinated communicati...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8946609/ |
| _version_ | 1819295776622247936 |
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| author | David Sarabia-Jacome Carlos E. Palau Manuel Esteve Fernando Boronat |
| author_facet | David Sarabia-Jacome Carlos E. Palau Manuel Esteve Fernando Boronat |
| author_sort | David Sarabia-Jacome |
| collection | DOAJ |
| description | The maritime industry expects several improvements to efficiently manage the operation processes by introducing Industry 4.0 enabling technologies. Seaports are the most critical point in the maritime logistics chain because of its multimodal and complex nature. Consequently, coordinated communication among any seaport stakeholders is vital to improving their operations. Currently, Electronic Data Interchange (EDI) and Port Community Systems (PCS), as primary enablers of digital seaports, have demonstrated their limitations to interchange information on time, accurately, efficiently, and securely, causing high operation costs, low resource management, and low performance. For these reasons, this contribution presents the Seaport Data Space (SDS) based on the Industrial Data Space (IDS) reference architecture model to enable a secure data sharing space and promote an intelligent transport multimodal terminal. Each seaport stakeholders implements the IDS connector to take part in the SDS and share their data. On top of SDS, a Big Data architecture is integrated to manage the massive data shared in the SDS and extract useful information to improve the decision-making. The architecture has been evaluated by enabling a port authority and a container terminal to share its data with a shipping company. As a result, several Key Performance Indicators (KPIs) have been developed by using the Big Data architecture functionalities. The KPIs have been shown in a dashboard to allow easy interpretability of results for planning vessel operations. The SDS environment may improve the communication between stakeholders by reducing the transaction costs, enhancing the quality of information, and exhibiting effectiveness. |
| first_indexed | 2024-12-24T04:47:36Z |
| format | Article |
| id | doaj.art-190aa695ccab4dc8a728693d1433afb0 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-24T04:47:36Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-190aa695ccab4dc8a728693d1433afb02022-12-21T17:14:39ZengIEEEIEEE Access2169-35362020-01-0184372438210.1109/ACCESS.2019.29632838946609Seaport Data Space for Improving Logistic Maritime OperationsDavid Sarabia-Jacome0https://orcid.org/0000-0003-4930-9677Carlos E. Palau1Manuel Esteve2Fernando Boronat3https://orcid.org/0000-0001-5525-3441Communication Department, Universitat Politècnica de València, Valencia, SpainCommunication Department, Universitat Politècnica de València, Valencia, SpainCommunication Department, Universitat Politècnica de València, Valencia, SpainCommunication Department, Universitat Politècnica de València at Campus Gandia, Gandia, SpainThe maritime industry expects several improvements to efficiently manage the operation processes by introducing Industry 4.0 enabling technologies. Seaports are the most critical point in the maritime logistics chain because of its multimodal and complex nature. Consequently, coordinated communication among any seaport stakeholders is vital to improving their operations. Currently, Electronic Data Interchange (EDI) and Port Community Systems (PCS), as primary enablers of digital seaports, have demonstrated their limitations to interchange information on time, accurately, efficiently, and securely, causing high operation costs, low resource management, and low performance. For these reasons, this contribution presents the Seaport Data Space (SDS) based on the Industrial Data Space (IDS) reference architecture model to enable a secure data sharing space and promote an intelligent transport multimodal terminal. Each seaport stakeholders implements the IDS connector to take part in the SDS and share their data. On top of SDS, a Big Data architecture is integrated to manage the massive data shared in the SDS and extract useful information to improve the decision-making. The architecture has been evaluated by enabling a port authority and a container terminal to share its data with a shipping company. As a result, several Key Performance Indicators (KPIs) have been developed by using the Big Data architecture functionalities. The KPIs have been shown in a dashboard to allow easy interpretability of results for planning vessel operations. The SDS environment may improve the communication between stakeholders by reducing the transaction costs, enhancing the quality of information, and exhibiting effectiveness.https://ieeexplore.ieee.org/document/8946609/Analyticsbig dataindustry 4.0industrial data spacesInternet of Thingsmaritime |
| spellingShingle | David Sarabia-Jacome Carlos E. Palau Manuel Esteve Fernando Boronat Seaport Data Space for Improving Logistic Maritime Operations IEEE Access Analytics big data industry 4.0 industrial data spaces Internet of Things maritime |
| title | Seaport Data Space for Improving Logistic Maritime Operations |
| title_full | Seaport Data Space for Improving Logistic Maritime Operations |
| title_fullStr | Seaport Data Space for Improving Logistic Maritime Operations |
| title_full_unstemmed | Seaport Data Space for Improving Logistic Maritime Operations |
| title_short | Seaport Data Space for Improving Logistic Maritime Operations |
| title_sort | seaport data space for improving logistic maritime operations |
| topic | Analytics big data industry 4.0 industrial data spaces Internet of Things maritime |
| url | https://ieeexplore.ieee.org/document/8946609/ |
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