The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20141636

le Poole, Joan; Hopman, Hans; Kana, Austin; Duchateau, Etienne (2023): Data underlying the paper: "Interactive Multi-Constrained System-to-Compartment Allocation to Support Real-Time Collaborative Complex Ship Layout Design Decision-Making". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/20141636.v2

Dataset

x choose version: version 1 - 2022-06-24

• Maritime Engineering
• Engineering

concurrent design, Early stage ship design, layout design, stakeholder dialogue, system allocation, WARGEAR

CC BY-NC-ND 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Joan le Poole , Hans Hopman , Austin Kana , Etienne Duchateau

 This data set comprises the data underlying the case study in the paper "Interactive Multi-Constrained System-to-Compartment Allocation to Support Real-Time Collaborative Complex Ship Layout Design Decision-Making", to be presented at the International Naval Engineering Conference and Exhibition (INEC 2022) .

Specifically, the data underlying the case studies is provided. For each case study, the Input is provided, consisting of a set of Systems, System Properties, Interactions, and Compartments. Also, the satisfaction of all design parameters for each developed concept design is provided.

• 2022-06-24 first online

• 2023-05-08 published, posted

4TU.ResearchData

.csv, .txt

Interactive Multi-Constrained System-To-Compartment Allocation To Support Real-Time Collaborative Complex Ship Layout Design Decision-Making

TU Delft, Faculty Mechanical, Maritime and Materials Engineering 3mE, Department of Marine and Transport Technology
Defence Materiel Organisation, Netherlands