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@article{ART003009778},
author={HyeRi Park and JeongMin Kim},
title={Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={10},
pages={267-275},
doi={10.9708/jksci.2023.28.10.267}

TY - JOUR
AU - HyeRi Park
AU - JeongMin Kim
TI - Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 10
PB - The Korean Society Of Computer And Information
SP - 267
EP - 275
SN - 1598-849X
AB - The digital transformation of the shipbuilding, shipping, and logistics sectors is predicted to lead to the introduction of autonomous ships and changes in the way ships are operated. The co-existence of various operation forms, such as autonomous operation and remote operation, with the existing operation methods is expected to lead to the transformation of the ship operation process and the emergence of new stakeholders. This paper studies the future ship operation process according to the change in ship operation method, predicts the change in the operating environment of future ships, and derives functional requirements by major tasks and stakeholders. The Delphi technique is applied to construct a ship operation scenario from the planning stage of voyage and cargo transport to the stage of arrival at the final destination port and discharge of cargo, and to predict future work changes by task and actor. Seafarers' activities are expected to be minimised by remote and autonomous operation, and experts in each field are expected to have responsibilities and tasks in different aspects of ship operation.
KW - Mode of operation for ships;Maritime Autonomous surface ship (MASS);Remote operation;Ship Operations Scenarios;Delphi method
DO - 10.9708/jksci.2023.28.10.267
ER -

HyeRi Park and JeongMin Kim. (2023). Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method. Journal of The Korea Society of Computer and Information, 28(10), 267-275.

HyeRi Park and JeongMin Kim. 2023, "Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method", Journal of The Korea Society of Computer and Information, vol.28, no.10 pp.267-275. Available from: doi:10.9708/jksci.2023.28.10.267

HyeRi Park, JeongMin Kim "Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method" Journal of The Korea Society of Computer and Information 28.10 pp.267-275 (2023) : 267.

HyeRi Park, JeongMin Kim. Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method. 2023; 28(10), 267-275. Available from: doi:10.9708/jksci.2023.28.10.267

HyeRi Park and JeongMin Kim. "Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method" Journal of The Korea Society of Computer and Information 28, no.10 (2023) : 267-275.doi: 10.9708/jksci.2023.28.10.267

HyeRi Park; JeongMin Kim. Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method. Journal of The Korea Society of Computer and Information, 28(10), 267-275. doi: 10.9708/jksci.2023.28.10.267

HyeRi Park; JeongMin Kim. Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method. Journal of The Korea Society of Computer and Information. 2023; 28(10) 267-275. doi: 10.9708/jksci.2023.28.10.267

HyeRi Park, JeongMin Kim. Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method. 2023; 28(10), 267-275. Available from: doi:10.9708/jksci.2023.28.10.267

HyeRi Park and JeongMin Kim. "Analysis of the Prediction of Operation Processes based on Mode of Operation for Ships: Applying Delphi method" Journal of The Korea Society of Computer and Information 28, no.10 (2023) : 267-275.doi: 10.9708/jksci.2023.28.10.267