A MILLION MORE OPTIONS FOR YOUR NEXT PURCHASE


UNMANNED CAPABILITY The Logistics Vehicle System (LVS) is a modular assortment of eight-wheel-drive, all-terrain vehicles used by the Marine Corps. Fielded in 1985 and manufactured by the Oshkosh Corp., the LVS is part of an ERS-aided effort to field unmanned military ground vehicles, a capability that will improve mission capability and Soldier safety. (Photo courtesy of Oshkosh Defense)


partnered with the Navy in 2014 to analyze designs for a poten- tial new class of small surface combatant (SSC) ships. Te use of set-based design transformed the SSC study. Researchers were able to produce and visualize 3.6 million designs incorporating 212 variables in only 27 minutes, versus the point-based results of 7,000 designs incorporating 16 variables in three weeks.


Te Air Force applied ERS methods in 2013 to a notional cargo plane project, part of a transition to the use of effectiveness- based metrics for conceptual design. Historically, engineers first calculated performance tradespaces and then delivered point designs to cost estimators and effectiveness analysts. With time and funding restrictions, it was rarely possible to complete more than one or two analysis iterations. Te strategy created a gap in information for acquisition professionals, who needed to know more about effectiveness and costs earlier in the process. ERS methods successfully united performance, effectiveness and cost data within a single design tradespace, setting the standard for future conceptual design efforts.


82 Army AL&T Magazine July-September 2016


Te ERS team also worked with the U.S. Army Aviation and Missile Research, Development and Engineering Center’s Avia- tion and Engineering Directorate in 2015 to streamline HELOP, a software program used to answer more than 2,000 rotorcraft airworthiness and analysis-of-alternatives calls per year. Te update permits simultaneous completion of thousands of par- allel runs, allowing HELOP to be combined with simulated flight data to produce predictive mission performance data for cargo platforms. Tis will be especially useful as the Army looks toward the next generation of rotorcraft.


While ERS aided these efforts, in return each provided invalu- able developmental input for ERS program leaders, who used these real-world projects to evaluate the effectiveness of tools and techniques, organize workflows and validate methods. Additionally, capabilities expanded with every new venture. Analyses not only grew in size, they also grew in richness. Reus- able data and increased functionality add depth, resulting in improved processes over time.


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