000007691 001__ 7691
000007691 005__ 20240531164756.0
000007691 02470 $$2doi$$a10.24868/issn.2515-818X.2020.050
000007691 035__ $$a4498253
000007691 037__ $$aGENERAL
000007691 245__ $$aA Systems Engineering based Fleet Design Model for a Future-ready Fleet
000007691 269__ $$a2020-10-05
000007691 336__ $$aConference Proceedings
000007691 520__ $$aBefore designing a ship, the requirements for the ship are required. For innovative or complex technical ships, this is not instantly clear. In many cases, the expected operations of the ship need to be investigated first. Currently, this is often done on a ship-by-ship basis. However, a ship seldom operates alone, especially for technically complex ships. The ship will often be part of a fleet executing e.g. complex operations such as windmill installation or complex missions in case of navy ships. It is therefore important to investigate the role of the ship in this fleet and establish the contributions to the expected missions or tasks. Of course, the fleet will change over time and each stepwise change of the fleet could be investigated independently but should be investigated in cohesion. To enable this, an approach and validation model was developed within the DES4Ops project over the past two years. This paper will discuss the development of an optimal fleet design model to support decision making and requirement elucidation. The impact of existing ships on the choice for a new ship (brownfield development) and of a complete fleet redesign (greenfield development) are supported. A simple example case for an arbitrary set of navy missions will be discussed to highlight the potential of this approach. In the end, we conclude that the model allows the user to check the performance of a fleet in different scenario’s, but more importantly, it will lead to fleet considerations that lead to better performances overall and over time.
000007691 542__ $$fCC-BY-4.0
000007691 6531_ $$aFleet design
000007691 6531_ $$aMILP
000007691 6531_ $$aOptimisation
000007691 6531_ $$aMission allocation
000007691 6531_ $$aSystems Engineering
000007691 6531_ $$aShip Design
000007691 7001_ $$aPruyn, J$$uDelft University of Technology,
000007691 7001_ $$aVeldstra, T$$uDelft University of Technology,
000007691 7001_ $$avan Oers, B$$uDefensie Materieel Organisatie, Utrecht
000007691 7001_ $$aLogtmeijer, R$$uDefensie Materieel Organisatie, Utrecht
000007691 7001_ $$aKnegt, S$$u3Damen Schelde Naval Shipbuilding, Vlissingen,
000007691 7001_ $$avan Driel, W$$uHuisman Equipment, Schiedam,
000007691 773__ $$tConference Proceedings of INEC
000007691 773__ $$jINEC 2020
000007691 789__ $$whttps://zenodo.org/record/4498253$$2URL$$eIsIdenticalTo
000007691 85641 $$uhttps://www.imarest.org/events/inec-2020$$yConference website
000007691 8564_ $$975b1ee97-39e1-4330-a6ea-bce5de06e3e5$$s1058315$$uhttps://library.imarest.org/record/7691/files/INEC_2020_Paper_78.pdf