| dc.description.abstract | This paper proposes data-driven methods thinkingto the ship design practices, enabling effective data collection, quality, access, analysis and monitoring during the vessel lifecycle.Data is here understood as the key element to extract information and knowledge, and is represented in two complimentary categories, product (ship) andprocess (design). Ship data is studiedvia top-down and bottom-upapproaches. The first comprises data from regressions, previous designs and parametric studies based on existing solutions, while the secondis connected to specific key elements and subsystems that directly affects the mission of the ship.Data from the value-chain is studied under three distinct layers, namely overall standards (i), 3rdparty choices (ii) and proprietary data (iii). Product lifecycle management tools advantages and drawbacks are discussed in light of the data challenges presented. Data-driven ship design aims to integrateproduct and process contentaccording to modern DevOps practices, such as versioning, tracking, monitoring, testing, tuning and feedback.Anopen and collaborative ship design library is briefly introducedasanincipient initiativeaiming to incorporatedata-driven methodsin ship design. Vessel.jsis structured via JavaScript objects containing relevant information about the vessel systems and key components, as well as key performance analyses. A call for collaborative data-driven ship design using openstandards closes the paper | en_US |
