cff-version: 1.2.0
abstract: "<p>&nbsp;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&nbsp;International Naval Engineering Conference and Exhibition (INEC 2022) .</p><p><br></p><p>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.</p>"
authors:
  - family-names: le Poole
    given-names: Joan
  - family-names: Hopman
    given-names: Hans
    orcid: "https://orcid.org/0000-0002-5404-5699"
  - family-names: Kana
    given-names: Austin
    orcid: "https://orcid.org/0000-0002-9600-8669"
  - family-names: Duchateau
    given-names: Etienne
title: "Data underlying the paper: &#34;Interactive Multi-Constrained System-to-Compartment Allocation to Support Real-Time Collaborative Complex Ship Layout Design Decision-Making&#34;"
keywords:
version: 2
identifiers:
  - type: doi
    value: 10.4121/20141636.v2
license: CC BY-NC-ND 4.0
date-released: 2023-05-08