DATA-DRIVEN METHODS TO HANDLE COMPLEXITY AND ENABLE SOPHISTICATION DURING SHIP DESIGN

摘要

The discussion here presented attempts to propose a definition of complexity and sophistication during early stages of design that matches the topics presented by Andrews in the main paper of this Transactions RIN A issue. Complexity is understood as all the relevant information to define a ship, while sophistication is connected to the knowledge to use this processed information during the early design practices towards valuable decision-making. A data driven approach is thus proposed to extract information and knowledge via efficient analysis of the ship (product) and design (process) data, proposing a modern development and operations computational approach for ship design, focusing on recurrent feedback of analysed data to ensure that new information is properly engaged to modify and improve the solution space of the wicked problem. This discussion closes with a selection of six topics commented by Andrews that will instigate the next generation(s) of ship designers, namely: quantifying style; comprehensible synthesis; success factors for ship design; design as a learning process; aided vs. automatic; and architecturally driven-data.