☆ 4.3 Article

Shipping Information Modeling (SIM): bridging the gap between academia and industry

ELECTRONIC RESEARCH ARCHIVE (2022)

Data analytics for fuel consumption management in maritime transportation: Status and perspectives

Ran Yan et al.

Summary: The shipping industry occupies about three-quarters of global trade, and sustainability and emission control have become the focus. Ship fuel consumption prediction models are key to improving energy efficiency, while optimizing operations must balance cost and global trade demand.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2021)

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Review Transportation

How big data enriches maritime research - a critical review of Automatic Identification System (AIS) data applications

Dong Yang et al.

TRANSPORT REVIEWS (2019)

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Review Engineering, Industrial

Critical review of studies on building information modeling (BIM) in project management

Albert P. C. Chan et al.

FRONTIERS OF ENGINEERING MANAGEMENT (2018)

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Article Operations Research & Management Science

Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions

Qiang Meng et al.

TRANSPORTATION SCIENCE (2014)

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Review Management

Ship routing and scheduling in the new millennium

Marielle Christiansen et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2013)

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Shipping Information Modeling (SIM): bridging the gap between academia and industry

相关参考文献

Data analytics for fuel consumption management in maritime transportation: Status and perspectives

How big data enriches maritime research - a critical review of Automatic Identification System (AIS) data applications

Critical review of studies on building information modeling (BIM) in project management

Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions

Ship routing and scheduling in the new millennium

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