Robust Dry Bulk Fleet Route Optimization Under Navigation Risk Consideration

Dry bulk shipping plays an essential role in international bulk commodity transportation. The dry bulk shipping company that operates a fleet has to design an efficient and safe route for each vessel to complete the transportation task and reduce the navigation risk on the course. Considering the na...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jun Gao, Jie Wang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Dry bulk fleet navigation risk robust optimization uncertainty route planning Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/91c35635ef7540e992d8a8d8d119783b
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:91c35635ef7540e992d8a8d8d119783b
record_format	dspace
spelling	oai:doaj.org-article:91c35635ef7540e992d8a8d8d119783b2021-12-02T00:00:31ZRobust Dry Bulk Fleet Route Optimization Under Navigation Risk Consideration2169-353610.1109/ACCESS.2021.3129196https://doaj.org/article/91c35635ef7540e992d8a8d8d119783b2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9620109/https://doaj.org/toc/2169-3536Dry bulk shipping plays an essential role in international bulk commodity transportation. The dry bulk shipping company that operates a fleet has to design an efficient and safe route for each vessel to complete the transportation task and reduce the navigation risk on the course. Considering the navigation risk is uncertain, we use the robust optimization approach to optimize the routes for a dry bulk shipping fleet. We aim to determine the shipping route that can minimize the total transportation cost and ensure that the navigation risk is no more than a certain threshold. To address this problem, this paper first develops a deterministic formulation for the dry bulk fleet route planning. Then its robust counterpart is formulated to incorporate the uncertain navigation risk, which can ensure the worst-case navigation risk shall not exceed the given threshold. At last, we carry out a series of numerical experiments using actual data to evaluate the performance of our approach. The numerical results reveal that our approach can efficiently solve the route planning problem and make the trade-off between navigation risk and total transportation cost.Jun GaoJie WangIEEEarticleDry bulk fleetnavigation riskrobust optimizationuncertaintyroute planningElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 156528-156536 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Dry bulk fleet navigation risk robust optimization uncertainty route planning Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Dry bulk fleet navigation risk robust optimization uncertainty route planning Electrical engineering. Electronics. Nuclear engineering TK1-9971 Jun Gao Jie Wang Robust Dry Bulk Fleet Route Optimization Under Navigation Risk Consideration
description	Dry bulk shipping plays an essential role in international bulk commodity transportation. The dry bulk shipping company that operates a fleet has to design an efficient and safe route for each vessel to complete the transportation task and reduce the navigation risk on the course. Considering the navigation risk is uncertain, we use the robust optimization approach to optimize the routes for a dry bulk shipping fleet. We aim to determine the shipping route that can minimize the total transportation cost and ensure that the navigation risk is no more than a certain threshold. To address this problem, this paper first develops a deterministic formulation for the dry bulk fleet route planning. Then its robust counterpart is formulated to incorporate the uncertain navigation risk, which can ensure the worst-case navigation risk shall not exceed the given threshold. At last, we carry out a series of numerical experiments using actual data to evaluate the performance of our approach. The numerical results reveal that our approach can efficiently solve the route planning problem and make the trade-off between navigation risk and total transportation cost.
format	article
author	Jun Gao Jie Wang
author_facet	Jun Gao Jie Wang
author_sort	Jun Gao
title	Robust Dry Bulk Fleet Route Optimization Under Navigation Risk Consideration
title_short	Robust Dry Bulk Fleet Route Optimization Under Navigation Risk Consideration
title_full	Robust Dry Bulk Fleet Route Optimization Under Navigation Risk Consideration
title_fullStr	Robust Dry Bulk Fleet Route Optimization Under Navigation Risk Consideration
title_full_unstemmed	Robust Dry Bulk Fleet Route Optimization Under Navigation Risk Consideration
title_sort	robust dry bulk fleet route optimization under navigation risk consideration
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/91c35635ef7540e992d8a8d8d119783b
work_keys_str_mv	AT jungao robustdrybulkfleetrouteoptimizationundernavigationriskconsideration AT jiewang robustdrybulkfleetrouteoptimizationundernavigationriskconsideration
_version_	1718403999384731648

Robust Dry Bulk Fleet Route Optimization Under Navigation Risk Consideration

Ejemplares similares