Towards holistic performance-based conceptual design of Arctic cargo ships

Paper i proceeding, 2018

We present an extension of an earlier presented framework for use in the conceptual design of Arctic cargo ships. To enable a holistic approach, the framework integrates a wide range of performance assessment tools and methods namely (a) Discrete Event Simulation (DES) based Monte Carlo simulations, (b) system thinking, and (c) empirical data analysis. The thinking behind the framework is demonstrated by discussing how it could be applied to assess the design impact of four specific technologies: (1) a ‘Biomimetic anti-icing coating’, (2) a ‘Safe Arctic bridge’ using augmented reality (AR) technology for improved situation awareness,(3) a ‘Arctic voyage planning tool’ using Big data analysis, and (4) the use of low flash point fuels’ in the Arctic.