Description
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.
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.
| Date made available | 24 Jun 2022 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
Research output
- 1 Conference article
-
Interactive Multi-Constrained System-To-Compartment Allocation To Support Real-Time Collaborative Complex Ship Layout Design Decision-Making
le Poole, J. J., Duchateau, E. A. E., Hopman, J. J. & Kana, A. A., 2022, In: Proceedings of the International Naval Engineering Conference. 16, 16 p., 11.Research output: Contribution to journal › Conference article › Scientific › peer-review
Open AccessFile142 Downloads (Pure)
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