Prescriptive analytics models for vessel inspection planning in maritime transportation
Port state control (PSC) inspections are crucial for maritime safety and pollution reduction. The inspection process involves identifying high-risk vessels, allocating surveyors, and conducting onboard checks. This study aims to optimize the selection and assignment process through a two-stage frame...
Saved in:
Main Authors: | Yang, Ying, Yan, Ran., Wang, Shuaian |
---|---|
Other Authors: | School of Civil and Environmental Engineering |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175834 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Using deep learning to forecast maritime vessel flows
by: Zhou, X., et al.
Published: (2021) -
LNG bunkering infrastructure planning at port
by: Guo, Yu, et al.
Published: (2024) -
An efficient ranking-based data-driven model for ship inspection optimization
by: Yang, Ying, et al.
Published: (2024) -
Are vessel arrival and port operations affected by COVID-19? Evidence from the Hong Kong port
by: Chu, Zhong, et al.
Published: (2024) -
Evaluation and prediction of punctuality of vessel arrival at port: a case study of Hong Kong
by: Chu, Zhong, et al.
Published: (2023)