ABSTRACT
A team from the Naval Postgraduate School (NPS) was requested by Program Executive Ofce (PEO) Ships to work with naval ship maintenance metrics groups to provide additional options regarding how large datasets could be optimized. The current process for presenting data on more than 150 parameters measuring ship performance maintenance costs and processes, containing billions of data points, is still done by static, cumbersome spreadsheets. The central goal of this project was to provide a means to aggregate voluminous maintenance data in such a way that ship maintenance leadership can better understand the causal factors contributing to cost and schedule overruns. By providing this kind of information in an intuitively visual form, leadership could be assisted in budget and scheduling decision making.
