%0 Generic
%A le Poole, Joan
%A Hopman, Hans
%A Kana, Austin
%A Duchateau, Etienne
%D 2022
%T Data underlying the paper: "Interactive Multi-Constrained System-to-Compartment Allocation to Support Real-Time Collaborative Complex Ship Layout Design Decision-Making"
%U https://data.4tu.nl/articles/dataset/Data_underlying_the_paper_Interactive_Multi-Constrained_System-to-Compartment_Allocation_to_Support_Real-Time_Collaborative_Complex_Ship_Layout_Design_Decision-Making_/20141636/1
%R 10.4121/20141636.v1
%K layout design
%K Early stage ship design
%K system allocation
%K concurrent design
%K stakeholder dialogue
%K WARGEAR
%X <p> 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) .</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>
%I 4TU.ResearchData