Author's: STEFAN M. STEFANOV
Pages: [105] - [133]
Received Date: October 29, 2011
Submitted by:
In this paper, we consider inventory control problems in a stochastic environment. After a brief description of stochastic quasigradient methods (SQM) for solving stochastic programming problems, algorithms of polynomial complexity are proposed for projecting the current approximation, generated by the SQM, onto feasible regions of two important inventory control problems. Convergence of suggested algorithms is proved, and some examples and results of computational experiments are presented.
stochastic programming, stochastic quasigradient methods, inventory control, projection, algorithms.