The DD(X) ship and life cycle support process design objectives are driven by three key objectives: high availability with reduced annual support costs and a manning compliment lower than the predecessor class of ships. To achieve these goals, the ship design will provide functionality that includes a high degree of information-based decision support provided by the Mission Readiness Support System. More specifically, the Equipment Health Management (CEHM) component of the system will acquire sensor-based machinery condition data; analyze the data to assess current system condition relative to mission requirements, and estimate future equipment condition and readiness impacts, based on predicted operational requirements. The technical approach proposed in support of this topic for executing predictive analysis across a broad range of shipboard Combat System and HM&E equipment takes advantage of a method for actuarial analysis called Proportional Hazard Modeling (PHM). The PHM approach implemented within a Monte Carlo simulation environment can provide the required predictive engine defined by the requirements of the CEHM module of the DD(X) MRSS system. The DEI Group proposes to design and develop the requirements for the prototype application for an integrated systems framework supporting model design and deployment within the MRSS environment
