Optimizing Medical Kits for Space FlightThe Integrated Medical Model (IMM) uses Monte Carlo methodologies to predict the occurrence of medical events, their mitigation, and the resources required during space flight. The model includes two modules that utilize output from a single model simulation to identify an optimized medical kit for a specified mission scenario. This poster describes two flexible optimization routines built into SAS 9.1. The first routine utilizes a systematic process of elimination to maximize (or minimize) outcomes subject to attribute constraints. The second routine uses a search and mutate approach to minimize medical kit attributes given a set of outcome constraints. There are currently 273 unique resources identified that are used to treat at least one of 83 medical conditions currently in the model.
Document ID
20100031230
Acquisition Source
Johnson Space Center
Document Type
Conference Paper
Authors
Minard, Charles G. (NASA Johnson Space Center Houston, TX, United States)
FreiredeCarvalho, Mary H. (Wyle Integrated Science and Engineering Group Houston, TX, United States)
Iyengar, M. Sriram (Wyle Integrated Science and Engineering Group Houston, TX, United States)