%0 Generic %A le Poole, Joan %A Hopman, Hans %A Kana, Austin %A Duchateau, Etienne %D 2023 %T Data underlying the paper: "Interactive Multi-Constrained System-to-Compartment Allocation to Support Real-Time Collaborative Complex Ship Layout Design Decision-Making" %U %R 10.4121/20141636.v2 %K layout design %K Early stage ship design %K system allocation %K concurrent design %K stakeholder dialogue %K WARGEAR %X
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.
%I 4TU.ResearchData