TY - GEN
T1 - Risk control of providing a kind of quasi-public goods under china's current pricing mechanism - case of energy industry
AU - Ming, Wang
AU - Dongjie, Shen
AU - Lai, K. K.
AU - Liang, L.
PY - 2009
Y1 - 2009
N2 - This article presents a robust optimization formulation for dealing with production cost and government price uncertainty in a kind of quasi-public goods market scenario. Participants in the market face price administrated by government but uncertain production costs, at the same time. We show that the robust optimization formulation, based on a nominal problem, may be articulated as a variational inequality involving control and state variables. This convenient approach may be applied for computation of optimal solutions, which can help manufactories dramatically and rapidly alter production and distribution schedules, in order to compete in the market successfully. © 2009 IEEE.
AB - This article presents a robust optimization formulation for dealing with production cost and government price uncertainty in a kind of quasi-public goods market scenario. Participants in the market face price administrated by government but uncertain production costs, at the same time. We show that the robust optimization formulation, based on a nominal problem, may be articulated as a variational inequality involving control and state variables. This convenient approach may be applied for computation of optimal solutions, which can help manufactories dramatically and rapidly alter production and distribution schedules, in order to compete in the market successfully. © 2009 IEEE.
UR - https://www.scopus.com/pages/publications/70649087052
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-70649087052&origin=recordpage
U2 - 10.1109/CSO.2009.473
DO - 10.1109/CSO.2009.473
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9780769536057
VL - 1
SP - 966
EP - 969
BT - Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
T2 - 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
Y2 - 24 April 2009 through 26 April 2009
ER -