Critical Spare Parts Management in Maritime Shipping: Selection and Control

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dc.contributor.author Patzke, Matthis
dc.contributor.author Saeed, Saber
dc.contributor.author Pahl, Julia
dc.date.accessioned 2023-12-26T18:37:05Z
dc.date.available 2023-12-26T18:37:05Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other d4b4d6fa-1bd7-4943-8d9b-8021006c9b1d
dc.identifier.uri https://hdl.handle.net/10125/106549
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Intelligent Decision Support for Logistics and Supply Chain Management
dc.subject bulk shipping
dc.subject critical spare parts selection
dc.subject maritime maintenance
dc.subject spare parts logistics
dc.title Critical Spare Parts Management in Maritime Shipping: Selection and Control
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract Maritime cargo is essential for the worlds economy with thousands of ships transporting it year round over the sea. Through rough seas and weather conditions, maintaining ships operational and safe for the crew and cargo is vital. The maritime industry is challenged by planning and executing maintenance jobs including the allocation of critical spare parts in a cost-sensitive manner. Spare parts are generally defined as interchangeable parts that are kept in inventory and used as a material source of maintenance activities. In fact, the selection of those parts to carry on board and those to allocate where it is most beneficial to assure continuous ship operations is paramount. In this paper, we use an ABC/XYZ analysis for categorizing critical spare parts for vessels and entire fleets. We further aim to evaluate strategies for controlling them. Our analysis is based on data of a representative case in maritime bulk shipping aiming at identifying spare parts to be allocated such that they are available at the right time in the right place to lowest costs. This is a difficult task as bulk shipping is comparable to taxi driving where port calls cannot be foreseen much time in advance.
dcterms.extent 10 pages
prism.startingpage 1390
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Intelligent Decision Support for Logistics and Supply Chain Management