Data underlying the paper: "Interactive Multi-Constrained System-to-Compartment Allocation to Support Real-Time Collaborative Complex Ship Layout Design Decision-Making"

DOI:10.4121/20141636.v2
The DOI displayed 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
Datacite citation style:
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

choose version:
version 2 - 2023-05-08 (latest)
version 1 - 2022-06-24

 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.

History

  • 2022-06-24 first online
  • 2023-05-08 published, posted

Publisher

4TU.ResearchData

Format

.csv, .txt

Organizations

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

DATA

Files (1)