A semi-“smart predict then optimize” (semi-SPO) method for efficient ship inspection

•Develop a tailored multi-target random forest model for predicting ship deficiencies.•Prove that ship inspection planning is polynomially solvable.•Proposed approaches outperform the current practice by over 4%. Efficient inspection of ships at ports to ensure their compliance with safety and envir...

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Vydané v:	Transportation research. Part B: methodological Ročník 142; s. 100 - 125
Hlavní autori:	Yan, Ran, Wang, Shuaian, Fagerholt, Kjetil
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Elsevier Ltd 01.12.2020 Elsevier Science Ltd
Predmet:	Environmental regulations Inspection Integers Marine transportation Maritime transportation Optimization Polynomial-time algorithm Regulations Robustness (mathematics) Sensitivity analysis Ship inspection Ships Smart predict then optimize (SPO) Tree-based prediction models Tree-based prediction models Polynomial-time algorithm Maritime transportation Ship inspection Smart predict then optimize (SPO)
ISSN:	0191-2615, 1879-2367
On-line prístup:	Získať plný text
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