AUSTIN, Texas, April 4, 2013 /PRNewswire/ -- Clockwork, a global leader of predictive analytics solutions for enterprise asset management (EAM), announced the company will begin the second phase of support to Marine Corps Systems Command (MCSC) System Engineering, Interoperability, Architectures and Technology (SIAT). MCSC SIAT is working with the Georgia Tech Research Institute (GTRI) and Clockwork to extend modeling and simulation technology in the acquisition and sustainment of Marine Corps fleets. Together MCSC SIAT, GTRI and Clockwork have taken the Framework for Assessing Cost and Technology (FACT) project to a new level. (Logo: http://photos.prnewswire.com/prnh/20120531/MM16963LOGO) Clockwork was selected by MCSC SIAT in 2011 to support the FACT project. The project brings new capability to MCSC--beyond conventional application of modeling and simulation. As part of the FACT Team, Clockwork provides high-resolution predictive modeling of reliability, maintenance, and availability scenarios allowing FACT team members to evaluate decisions and their impact using Should Cost-Will Cost criteria. "Working with MCSC SIAT and GTRI, Clockwork delivers a full range of predictive analytics into the hands of Marine Corps program managers," stated Sergio Posadas, Vice President of Industry Solutions at Clockwork. "We are excited to be part of this ongoing effort and believe that this collaboration will help to identify cost avoidance for MCSC, while ensuring sustainment objectives are met." Using a design of experiments (DOE) structured approach, Clockwork evaluates the volumes of future big data and provides inputs to ensure the FACT team considers the performance impacts across each vehicle component and its parts, over global operations, and across all levels of logistics and supply. Clockwork generates thousands of possible-future scenarios, each with slightly different starting points, to lay out a future big data map for insight on future performance and cost. Through this approach, MCSC SIAT, GTRI and Clockwork enable rapid, accurate decision-making.