Adriatic Sea Hub Ports Feeder Service Optimization Using Multi-Criteria Decision-Making Methods

From a scientific viewpoint, as well as from the perspective of navigation practice, it is clear that the Adriatic Sea feeder service is relatively underdeveloped. Hence, the objective of this study is to suggest a model for selecting the hub port and to optimize the network of seaports engaged in t...

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Autores principales:	Dario Medić, Srećko Krile, Igor Jelaska, Rino Bošnjak
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	feeder service feeder port hub port travelling salesman algorithm minimum spanning tree Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/bec03bbda67248418f2c394a550a1cc9
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id	oai:doaj.org-article:bec03bbda67248418f2c394a550a1cc9
record_format	dspace
spelling	oai:doaj.org-article:bec03bbda67248418f2c394a550a1cc92021-11-11T19:51:40ZAdriatic Sea Hub Ports Feeder Service Optimization Using Multi-Criteria Decision-Making Methods10.3390/su1321123252071-1050https://doaj.org/article/bec03bbda67248418f2c394a550a1cc92021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12325https://doaj.org/toc/2071-1050From a scientific viewpoint, as well as from the perspective of navigation practice, it is clear that the Adriatic Sea feeder service is relatively underdeveloped. Hence, the objective of this study is to suggest a model for selecting the hub port and to optimize the network of seaports engaged in the feeder service. Accordingly, an appropriate hub port has been identified through the methods of multi-criteria decision making and expert assessment, and the optimum shipping route has been calculated by applying the travelling salesman algorithm (TSA). In order to analyze whether there is a possibility of obtaining better optimization results, an integration of a sub-hub port system is suggested. Optimization has been achieved by applying a minimum spanning tree algorithm (MST) and a combination of these algorithms. The proposed methodology for selecting the hub port, sub-hub port and optimizing the feeder network can be implemented globally. The practical application of the achieved model would result in cost minimization, owing to shorter shipping routes or a combination of different transportation means (feeders).Dario MedićSrećko KrileIgor JelaskaRino BošnjakMDPI AGarticlefeeder servicefeeder porthub porttravelling salesman algorithmminimum spanning treeEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12325, p 12325 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	feeder service feeder port hub port travelling salesman algorithm minimum spanning tree Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	feeder service feeder port hub port travelling salesman algorithm minimum spanning tree Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Dario Medić Srećko Krile Igor Jelaska Rino Bošnjak Adriatic Sea Hub Ports Feeder Service Optimization Using Multi-Criteria Decision-Making Methods
description	From a scientific viewpoint, as well as from the perspective of navigation practice, it is clear that the Adriatic Sea feeder service is relatively underdeveloped. Hence, the objective of this study is to suggest a model for selecting the hub port and to optimize the network of seaports engaged in the feeder service. Accordingly, an appropriate hub port has been identified through the methods of multi-criteria decision making and expert assessment, and the optimum shipping route has been calculated by applying the travelling salesman algorithm (TSA). In order to analyze whether there is a possibility of obtaining better optimization results, an integration of a sub-hub port system is suggested. Optimization has been achieved by applying a minimum spanning tree algorithm (MST) and a combination of these algorithms. The proposed methodology for selecting the hub port, sub-hub port and optimizing the feeder network can be implemented globally. The practical application of the achieved model would result in cost minimization, owing to shorter shipping routes or a combination of different transportation means (feeders).
format	article
author	Dario Medić Srećko Krile Igor Jelaska Rino Bošnjak
author_facet	Dario Medić Srećko Krile Igor Jelaska Rino Bošnjak
author_sort	Dario Medić
title	Adriatic Sea Hub Ports Feeder Service Optimization Using Multi-Criteria Decision-Making Methods
title_short	Adriatic Sea Hub Ports Feeder Service Optimization Using Multi-Criteria Decision-Making Methods
title_full	Adriatic Sea Hub Ports Feeder Service Optimization Using Multi-Criteria Decision-Making Methods
title_fullStr	Adriatic Sea Hub Ports Feeder Service Optimization Using Multi-Criteria Decision-Making Methods
title_full_unstemmed	Adriatic Sea Hub Ports Feeder Service Optimization Using Multi-Criteria Decision-Making Methods
title_sort	adriatic sea hub ports feeder service optimization using multi-criteria decision-making methods
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/bec03bbda67248418f2c394a550a1cc9
work_keys_str_mv	AT dariomedic adriaticseahubportsfeederserviceoptimizationusingmulticriteriadecisionmakingmethods AT sreckokrile adriaticseahubportsfeederserviceoptimizationusingmulticriteriadecisionmakingmethods AT igorjelaska adriaticseahubportsfeederserviceoptimizationusingmulticriteriadecisionmakingmethods AT rinobosnjak adriaticseahubportsfeederserviceoptimizationusingmulticriteriadecisionmakingmethods
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Adriatic Sea Hub Ports Feeder Service Optimization Using Multi-Criteria Decision-Making Methods

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