Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90656
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Title: Development of two highly-efficient and innovative inspection schemes for PSC inspection
Authors: Yan, R 
Zhuge, D 
Wang, S 
Issue Date: Jun-2021
Source: Asia-Pacific journal of operational research, June 2021, v. 38, no. 3, 2040013
Abstract: Port state control (PSC) inspection contributes a lot to improving maritime safety and protecting the marine environment. After selecting the ships coming to a port for inspection, one critical challenge faced by the PSC authorities is deciding what deficiency items should be inspected and what the inspection sequence of these items is. To address this problem, two innovative and high-efficient PSC inspection schemes describing specific PSC inspection items and sequence are proposed for the inspectors' reference when time and resources are limited, especially when there are difficulties in estimating the possible deficiencies in advance. Both schemes take the occurrence probability, inspection cost, and ignoring loss of each deficiency item into account. More specifically, the first inspection scheme is based on the occurrence probabilities of the deficiency items in the whole data set, while the second scheme further considers the correlations among the deficiency items extracted by association rules. The results of numerical experiments show that the efficiency of the two proposed inspection schemes is 1.5 times higher than that of the currently used inspection scheme. In addition, the second inspection scheme performs better than the first inspection scheme, especially with inspecting ships with no less than five deficiency items and limited inspection resources.
Keywords: Association rule
Deficiency item
Inspection scheme
Port state control inspection
Publisher: World Scientific
Journal: Asia-Pacific journal of operational research 
ISSN: 0217-5959
EISSN: 1793-7019
DOI: 10.1142/S0217595920400138
Rights: Electronic version of an article published as Asia-Pacific Journal of Operational Research, Volume 38, Issue 3, 2021, 2040013, DOI: 10.1142/S0217595920400138, © World Scientific Publishing Co. & Operational Research Society of Singapore https://www.worldscientific.com/worldscinet/apjor
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