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

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@article{IJASEIT15350,
   author = {Viet Duc Bui and Hoang Phuong Nguyen},
   title = {A Comprehensive Review on Big Data-Based Potential Applications in Marine Shipping Management},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {3},
   year = {2021},
   pages = {1067--1077},
   keywords = {Big data; marine shipping; operation optimization; predictive analysis.},
   abstract = {

Shipping is becoming a spearhead economic sector in sea countries. Over 90% of goods and raw materials are transported globally by marine shipping. However, the requests from the advanced transport ship generations include much more modern facilities, larger cargo space, faster moving, and flexible controlling cargo from inland with a shorter time. As a result, the demand for digitalization of maritime is increasing in a flexible virtual environment and under pressure to reduce costs. Big Data plays an extremely important role in marine shipping. Big Data helps determine what is traditional and non-traditional data to reap profits. Shipping companies often collect extremely large amounts of data from various sources such as frequent reports from ships, sensors, GPS devices, RFID tags, and traffic management systems. This way can boost forecasting and/or avoiding risks as well as saving the cost of transport. This article focuses on assessing the challenges and opportunities of Big data in marine shipping before comprehensively analyzing its applications in maritime transport including online vessel decision support, vessel performance optimization, fleet operation optimization, and predictive analysis. This review has gathered, provided, and highlighted the rich ways and vast opportunities to improve big data-driven shipping processes and operations of the shipping industry. The results achieved can provide a good direction for authorities and shipping companies to formulate and implement effective policies to cope with the growing pressures of a highly competitive shipping market.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=15350},    doi = {10.18517/ijaseit.11.3.15350} }

EndNote

%A Bui, Viet Duc
%A Nguyen, Hoang Phuong
%D 2021
%T A Comprehensive Review on Big Data-Based Potential Applications in Marine Shipping Management
%B 2021
%9 Big data; marine shipping; operation optimization; predictive analysis.
%! A Comprehensive Review on Big Data-Based Potential Applications in Marine Shipping Management
%K Big data; marine shipping; operation optimization; predictive analysis.
%X 

Shipping is becoming a spearhead economic sector in sea countries. Over 90% of goods and raw materials are transported globally by marine shipping. However, the requests from the advanced transport ship generations include much more modern facilities, larger cargo space, faster moving, and flexible controlling cargo from inland with a shorter time. As a result, the demand for digitalization of maritime is increasing in a flexible virtual environment and under pressure to reduce costs. Big Data plays an extremely important role in marine shipping. Big Data helps determine what is traditional and non-traditional data to reap profits. Shipping companies often collect extremely large amounts of data from various sources such as frequent reports from ships, sensors, GPS devices, RFID tags, and traffic management systems. This way can boost forecasting and/or avoiding risks as well as saving the cost of transport. This article focuses on assessing the challenges and opportunities of Big data in marine shipping before comprehensively analyzing its applications in maritime transport including online vessel decision support, vessel performance optimization, fleet operation optimization, and predictive analysis. This review has gathered, provided, and highlighted the rich ways and vast opportunities to improve big data-driven shipping processes and operations of the shipping industry. The results achieved can provide a good direction for authorities and shipping companies to formulate and implement effective policies to cope with the growing pressures of a highly competitive shipping market.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=15350 %R doi:10.18517/ijaseit.11.3.15350 %J International Journal on Advanced Science, Engineering and Information Technology %V 11 %N 3 %@ 2088-5334

IEEE

Viet Duc Bui and Hoang Phuong Nguyen,"A Comprehensive Review on Big Data-Based Potential Applications in Marine Shipping Management," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 3, pp. 1067-1077, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.3.15350.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Bui, Viet Duc
AU  - Nguyen, Hoang Phuong
PY  - 2021
TI  - A Comprehensive Review on Big Data-Based Potential Applications in Marine Shipping Management
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 3
Y2  - 2021
SP  - 1067
EP  - 1077
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Big data; marine shipping; operation optimization; predictive analysis.
N2  - 

Shipping is becoming a spearhead economic sector in sea countries. Over 90% of goods and raw materials are transported globally by marine shipping. However, the requests from the advanced transport ship generations include much more modern facilities, larger cargo space, faster moving, and flexible controlling cargo from inland with a shorter time. As a result, the demand for digitalization of maritime is increasing in a flexible virtual environment and under pressure to reduce costs. Big Data plays an extremely important role in marine shipping. Big Data helps determine what is traditional and non-traditional data to reap profits. Shipping companies often collect extremely large amounts of data from various sources such as frequent reports from ships, sensors, GPS devices, RFID tags, and traffic management systems. This way can boost forecasting and/or avoiding risks as well as saving the cost of transport. This article focuses on assessing the challenges and opportunities of Big data in marine shipping before comprehensively analyzing its applications in maritime transport including online vessel decision support, vessel performance optimization, fleet operation optimization, and predictive analysis. This review has gathered, provided, and highlighted the rich ways and vast opportunities to improve big data-driven shipping processes and operations of the shipping industry. The results achieved can provide a good direction for authorities and shipping companies to formulate and implement effective policies to cope with the growing pressures of a highly competitive shipping market.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=15350 DO - 10.18517/ijaseit.11.3.15350

RefWorks

RT Journal Article
ID 15350
A1 Bui, Viet Duc
A1 Nguyen, Hoang Phuong
T1 A Comprehensive Review on Big Data-Based Potential Applications in Marine Shipping Management
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 3
YR 2021
SP 1067
OP 1077
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Big data; marine shipping; operation optimization; predictive analysis.
AB 

Shipping is becoming a spearhead economic sector in sea countries. Over 90% of goods and raw materials are transported globally by marine shipping. However, the requests from the advanced transport ship generations include much more modern facilities, larger cargo space, faster moving, and flexible controlling cargo from inland with a shorter time. As a result, the demand for digitalization of maritime is increasing in a flexible virtual environment and under pressure to reduce costs. Big Data plays an extremely important role in marine shipping. Big Data helps determine what is traditional and non-traditional data to reap profits. Shipping companies often collect extremely large amounts of data from various sources such as frequent reports from ships, sensors, GPS devices, RFID tags, and traffic management systems. This way can boost forecasting and/or avoiding risks as well as saving the cost of transport. This article focuses on assessing the challenges and opportunities of Big data in marine shipping before comprehensively analyzing its applications in maritime transport including online vessel decision support, vessel performance optimization, fleet operation optimization, and predictive analysis. This review has gathered, provided, and highlighted the rich ways and vast opportunities to improve big data-driven shipping processes and operations of the shipping industry. The results achieved can provide a good direction for authorities and shipping companies to formulate and implement effective policies to cope with the growing pressures of a highly competitive shipping market.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=15350 DO - 10.18517/ijaseit.11.3.15350