TY - JOUR
T1 - Application of data-mining techniques to predict and rank maritime non-conformities in tanker shipping companies using accident inspection reports
AU - Navas de Maya, Beatriz
AU - Arslan, Ozcan
AU - Akyuz, Emre
AU - Kurt, Rafet Emek
AU - Turan, Osman
N1 - Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - The application of data mining techniques is an extended practice in numerous domains; however, within the context of maritime inspections, the aforementioned methods are rarely applied. Thus, the application of data-mining techniques for the prediction and ranking of non-conformities identified during vessel inspections could be of significant managerial contribution to the safety of shipping companies, as non-conformities could potentially lead to real accidents if not addressed adequately. Hence, specific data mining methods are investigated and applied in this paper to predict and rank non-conformities on oil tankers using a database recorded by tanker shipping companies in Turkey from 2006 to 2019. The results of this study reveal that specific non-conformities, for instance, inadequate ice operations or inadequate general appearance and condition of hull, superstructure and external weather decks, are not company-based problems, rather they are industry wide issues for all tanker shipping companies.
AB - The application of data mining techniques is an extended practice in numerous domains; however, within the context of maritime inspections, the aforementioned methods are rarely applied. Thus, the application of data-mining techniques for the prediction and ranking of non-conformities identified during vessel inspections could be of significant managerial contribution to the safety of shipping companies, as non-conformities could potentially lead to real accidents if not addressed adequately. Hence, specific data mining methods are investigated and applied in this paper to predict and rank non-conformities on oil tankers using a database recorded by tanker shipping companies in Turkey from 2006 to 2019. The results of this study reveal that specific non-conformities, for instance, inadequate ice operations or inadequate general appearance and condition of hull, superstructure and external weather decks, are not company-based problems, rather they are industry wide issues for all tanker shipping companies.
KW - data mining techniques
KW - maritime inspections
KW - Maritime safety
KW - non-conformities
KW - WEKA
UR - http://www.scopus.com/inward/record.url?scp=85097949127&partnerID=8YFLogxK
U2 - 10.1080/17445302.2020.1862530
DO - 10.1080/17445302.2020.1862530
M3 - Article
AN - SCOPUS:85097949127
SN - 1744-5302
VL - 17
SP - 687
EP - 694
JO - Ships and Offshore Structures
JF - Ships and Offshore Structures
IS - 3
ER -