Research Summaries

Back Modeling and Simulation (M&S) and Design of Experiments (DOE) Applications for Test Planning

Fiscal Year 2010
Division Graduate School of Operational & Information Sciences
Department Operations Research
Investigator(s) Sanchez, Susan M.
Sanchez, Paul J.
Lucas, Thomas W.
Sponsor Naval Air Warfare Center-Weapons Division (Navy)
Summary The DoD testing communities have formally endorsed and emphasized the increased use of modeling and simulation in the planning and execution of individual platform testing, Systems of Systems evaluation and Joint Test and Experimentation. The combination of modeling & simulation (M&S) and design of experiments (DOE) in test planning can have a synergistic effect on identifying and separating out the key factors or combination of factors that drive mission performance and success. Accumulating evidence that the system performs across its operational envelope through appropriately designed simulations before actual testing can be very cost effective. Identifying and concentrating on the key factors during the live tests will give the operational commanders, program mangers and system engineers/designers better insight for operational and engineering decisions. For this project, the SEED Center will develop a counter-IED use case that models aspects of live tests conducted at Yuma Proving Grounds utilizing models of system under test and threat device performance suitable for test planning. In addition to the use case, we will further the development of a prototype tool that leverages state-of-the-art experimental designs to support operational test planning.
Keywords Simulation Experimental Design Operational Test Test & Evaluation
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal