@article{GENERAL,
      author = {Schofield, J S and Wright, D J},
      url = {http://library.imarest.org/record/7594},
      journal = {Conference Proceedings of INEC},
      title = {Efficient Procurement of Low Vulnerability Warships},
      abstract = {In recent decades the UK has made significant advances in  its approach to, and its results from, the management of  naval platform vulnerability. This paper explores the  history, guiding principles and assessment techniques of  successful vulnerability management.

World War II lessons  learned are reviewed and shown to be still relevant today.  These include structural and systems design features for  the management of blast and fragmentation.

Requirements  must be set which are realistic and contractual. Through  the design of several classes of ship using current  vulnerability management principles it is now clear what  can be achieved. Therefore realistic requirements can be  effectively set.

Quantitative vulnerability assessment is  a key part of the design process, from the earliest concept  to build and beyond. It is never too early to consider  vulnerability, as the biggest gains can be made for the  least cost during the early concept phases. However, early  promise can be compromised by careless addition of  supporting systems and services, so continuous monitoring  is required.

In order for vulnerability assessments to  keep pace with and guide the direction of the developing  design, efficient assessment tools are needed. If the model  takes too long to build, the tool offers purely an audit  function, rather than being a design aid. Such a tool is  also an important input to Operational Analysis of the  in-service fleet. As such, very large parameter spaces of  results are needed, for the full threat spectrum against  the whole fleet in a range of scenarios.

SCL has developed  the Purple Fire tool to facilitate the sorts of assessment  required for modern platform designs, weapon programmes and  operational analysis in support of the fleet. It provides  the analyst with the ability to construct platform  representations very quickly, meaning less model build time  and more analysis time. It automates the consideration of  large parameter spaces allowing in-depth assessments to be  conducted quicker than ever. },
      number = {GENERAL},
      recid = {7594},
      address = {2018-10-03},
}