Abstract
Marine systems design methodology is continuously evolving. On a strategic level, we have seen four major evolutionary tracks emerging from the sequential, iterative process captured in the classical design spiral. One is a model-based systems engineering approach that removes iterations by a structured mapping from needs to functions, and further to form elements that are finally synthesized into a complete design. Another is a set-based strategy, where a large number of designs are generated and analysed, from which one or a
few solutions are selected for further development. A third direction is a holistic optimization strategy where the major steps in the spiral model are integrated onto a common platform that enables the automatic identification of one or a few balanced, preferable solutions. Finally, as a strategy towards improved competitiveness through standardization in a typical engineered-to-order industry, we have seen the emergence of modular architectures combined with configuration-based design methods.
Across these four evolutionary tracks there have been several more focused developments on different levels of maturity. This includes design-for-sustainability, simulation of operations, design-for-flexibility to handle uncertainty and change, and design of wind-assisted vessels. Finally, we have pointed to some emerging developments that we find promising but have yet to mature into having a significant impact on industry level applications. This includes artificial intelligence and machine learning, extended system boundaries, and digital twin technologies.
few solutions are selected for further development. A third direction is a holistic optimization strategy where the major steps in the spiral model are integrated onto a common platform that enables the automatic identification of one or a few balanced, preferable solutions. Finally, as a strategy towards improved competitiveness through standardization in a typical engineered-to-order industry, we have seen the emergence of modular architectures combined with configuration-based design methods.
Across these four evolutionary tracks there have been several more focused developments on different levels of maturity. This includes design-for-sustainability, simulation of operations, design-for-flexibility to handle uncertainty and change, and design of wind-assisted vessels. Finally, we have pointed to some emerging developments that we find promising but have yet to mature into having a significant impact on industry level applications. This includes artificial intelligence and machine learning, extended system boundaries, and digital twin technologies.