首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Optimization of space system development resources
Institution:1. George Washington University, 37523 Maple Shade Lane, Middleburg, VA 20117, USA;2. George Washington University, EMSE Off Campus Programs, 1776G Street, NW, Suite 142, Washington DC 20052, USA;3. George Washington University, Engineering Management & System Engineering, 1776G Street, NW, Suite 101, Washington DC 20052, USA;1. Department of Aviation Mechanical Engineering, China University of Science and Technology, 200 Chunghwa Street, Henshan Village, Hsinchu County 31241, Taiwan;2. National Space Organization, 8F No. 9 Prosperity 1st Road, Science Park, Hsinchu City 30078, Taiwan;1. Chemical Engineering Faculty, Central University of Ecuador, Ciudad Universitaria – Ritter s/n y Bolivia, P.O. Box. 17-01-3972, Quito - Ecuador;2. Department of Agri-Food Engineering and Biotechnology, Universitat Politècnica de Catalunya, Edifici D4, Esteve Terradas 8, 08860 Castelldefels, Barcelona - Spain;3. Department of Mathematics, Universitat Politència de Catalunya, Edifici D4, Esteve Terradas 8, 08860 Castelldefels, Barcelona - Spain;4. School of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ - United Kingdom;1. Department Earth and Space Sciences, University of Washington, Seattle, WA 98195, USA;2. Department of Aeronautics and Astronautics, University of Washington, Seattle, WA 98195, USA;1. South American Regional Space Workshop, SGAC, USA, Peru;2. Universidad Tecnológica Nacional Facultad Regional Delta, Argentina;3. South American Regional Space Workshop, SGAC, Japan, Brazil;4. University of Stuttgart, SGAC, Germany, Colombia;5. Instituto Nacional de Pesquisas Espaciais, Brazil;6. Universidad Nacional de Colombia, SGAC, Colombia
Abstract:NASA has had a decades-long problem with cost growth during the development of space science missions. Numerous agency-sponsored studies have produced average mission level cost growths ranging from 23% to 77%.A new study of 26 historical NASA Science instrument set developments using expert judgment to reallocate key development resources has an average cost growth of 73.77%. Twice in history, a barter-based mechanism has been used to reallocate key development resources during instrument development. The mean instrument set development cost growth was −1.55%. Performing a bivariate inference on the means of these two distributions, there is statistical evidence to support the claim that using a barter-based mechanism to reallocate key instrument development resources will result in a lower expected cost growth than using the expert judgment approach.Agent-based discrete event simulation is the natural way to model a trade environment. A NetLogo agent-based barter-based simulation of science instrument development was created. The agent-based model was validated against the Cassini historical example, as the starting and ending instrument development conditions are available. The resulting validated agent-based barter-based science instrument resource reallocation simulation was used to perform 300 instrument development simulations, using barter to reallocate development resources. The mean cost growth was −3.365%. A bivariate inference on the means was performed to determine that additional significant statistical evidence exists to support a claim that using barter-based resource reallocation will result in lower expected cost growth, with respect to the historical expert judgment approach.Barter-based key development resource reallocation should work on spacecraft development as well as it has worked on instrument development. A new study of 28 historical NASA science spacecraft developments has an average cost growth of 46.04%. As barter-based key development resource reallocation has never been tried in a spacecraft development, no historical results exist, and a simulation of using that approach must be developed. The instrument development simulation should be modified to account for spacecraft development market participant differences. The resulting agent-based barter-based spacecraft resource reallocation simulation would then be used to determine if significant statistical evidence exists to prove a claim that using barter-based resource reallocation will result in lower expected cost growth.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号