TY - JOUR
T1 - Flexibility management for space logistics via decision rules
AU - Chen, Hao
AU - Gardner, Brian M.
AU - Grogan, Paul T.
AU - Ho, Koki
N1 - Publisher Copyright:
© 2021 by the authors. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.
PY - 2021
Y1 - 2021
N2 - This paper develops a flexibility management framework for space logistics mission planning under uncertainty through decision rules and multistage stochastic programming. It aims to add built-in flexibility to space architectures in the phase of early-stage mission planning. The proposed framework integrates the decision rule formulation into a network-based space logistics optimization formulation model. It can output a series of decision rules and generate a Pareto front between the expected mission cost (i.e., initial mass in low Earth orbit) and the expected mission performance (i.e., effective crew operating time), considering the uncertainty in the environment and mission demands. The generated decision rules and the Pareto front plot can help decision makers create implementable policies immediately when uncertainty events occur during space missions. An example mission case study about space station resupply under rocket launch delay uncertainty is established to demonstrate the value of the proposed framework.
AB - This paper develops a flexibility management framework for space logistics mission planning under uncertainty through decision rules and multistage stochastic programming. It aims to add built-in flexibility to space architectures in the phase of early-stage mission planning. The proposed framework integrates the decision rule formulation into a network-based space logistics optimization formulation model. It can output a series of decision rules and generate a Pareto front between the expected mission cost (i.e., initial mass in low Earth orbit) and the expected mission performance (i.e., effective crew operating time), considering the uncertainty in the environment and mission demands. The generated decision rules and the Pareto front plot can help decision makers create implementable policies immediately when uncertainty events occur during space missions. An example mission case study about space station resupply under rocket launch delay uncertainty is established to demonstrate the value of the proposed framework.
UR - http://www.scopus.com/inward/record.url?scp=85117379361&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85117379361&partnerID=8YFLogxK
U2 - 10.2514/1.A34985
DO - 10.2514/1.A34985
M3 - Article
AN - SCOPUS:85117379361
SN - 0022-4650
VL - 58
SP - 1314
EP - 1324
JO - Journal of Spacecraft and Rockets
JF - Journal of Spacecraft and Rockets
IS - 5
ER -