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Sensitivity stochastic programming

The program provides sensitivity analyses for each stochastic parameter, in which mean exposures or doses as a function of the value of a selected stochastic parameter are depicted and analyzed. [Pg.227]

At last we designed a numerical example to test the validity of the model by simulation and then analyzed the sensitivity of the parameters in the model. The simulation results indicate that the optimization problem of decentralized control supply chain planning for the supply and demand prices between node enterprises under stochastic environment can be effectively solved by the chance-constrained programming model we established and the algorithm we designed. [Pg.146]


See other pages where Sensitivity stochastic programming is mentioned: [Pg.3]    [Pg.59]    [Pg.133]    [Pg.140]    [Pg.59]    [Pg.133]    [Pg.140]    [Pg.206]    [Pg.604]    [Pg.63]    [Pg.234]    [Pg.343]    [Pg.98]    [Pg.184]    [Pg.186]    [Pg.187]    [Pg.1139]    [Pg.180]    [Pg.345]   
See also in sourсe #XX -- [ Pg.133 ]

See also in sourсe #XX -- [ Pg.133 ]




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