Abstract At the early stage of public health emergencies, when conventional medical reserves prepared are insufficient, and productivity could temporarily not meet surge in demand, donations can be used to cover excess demand for supplies a large extent. This paper explicitly considers allocation problem limited during emergency, incorporating uncertainty donated priorities care centers. The is...

Abstract This paper presents a column-and-constraint generation algorithm for two-stage stochastic programming problems. A distinctive feature of the is that it does not assume fixed recourse and as consequence values dimensions matrix can be uncertain. The proposed contains multi-cut (partial) Benders decomposition deterministic equivalent model special cases used to trade-off computational sp...

Development of every society is incumbent upon energy sector’s technological and economic effectiveness. The electricity industry is a growing and needs to have a better performance to effectively cover the demand. The industry requires a balance between cost and efficiency through careful design and planning. In this paper, a two-stage stochastic programming model is presented for the design o...

This paper deals with two-stage and multi-stage stochastic programs in which the right-hand sides of the constraints are Gaussian random variables. Such problems are of interest since the use of Gaussian estimators of random variables is widespread. We introduce algorithms to nd upper bounds on the optimal value of two-stage and multi-stage stochastic (minimization) programs with Gaussian right...