Vessels, as an autonomous system, require the provision of maintenance needs, and transport the spare parts necessary to meet those needs. The existence of stocks and the type of lots on board are intertwined with the type of mission assigned, and according to the duration of the mission, often the ship cannot be supplied by land. For this reason, the normal time in the supply chain requires stocks, since in the Portuguese Navy, and in particularly on ships during its voyages, it is not possible to implement the ā€�Just-in-Timeā€™ system, which limits the time factor. Thus, in order to guarantee the autonomy of the missions with the supply cycle available, board batches to ā€�Vasco da Gamaā€™ frigateā€™s engines, allow the ship's systems to be permanently operational. This study includes, in a first phase, an estimate of the maintenance needs of the main propulsion engines of the ā€�Vasco da Gamaā€™ Class Frigates using the arithmetic mean method and the least squares method. This is followed by an approach to stock management using the ABC analysis to determine which spare parts require more detailed control. Finally, the optimum quantity of spare parts per board batch, to be used for autonomous navigation missions up to a maximum of one year, is determined. The aim of this study is to reduce maintenance costs by calculating the optimal size of on-board batches, and also to improve sustainability by reducing the impact on the environment by not overloading the vessels with too many spare parts.
Jose Miguel Soares, ISEG Lisbon School of Economics & Management, Universidade de Lisboa, Portugal
Fernanda Mendes, European University/Laureate International Universities, Portugal
Stream: Social Sustainability, War and Peace
This paper is part of the ECSEE2017 Conference Proceedings (View)
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