allocation problem as a stochastic optimization model with uncertain demand, and optimally solve the model for a network with up … then connected as a Minimal Spanning Tree, followed by a system-wide safety stock allocation via stochastic optimization …

We study fixed-dimensional stochastic dynamic programs in a discrete setting over a finite horizon. Under the primary … in inventory theory, namely the single-product problem with lost sales and lead times (Morton 1969, Zipkin 2008) …

centers place weekly regular orders and daily urgent orders to the factory. Two classes of stochastic demands, pre-ordered and …

A practical stochastic location-inventory-delivery problem with multi-item joint replenishment is studied. Unlike the … adopted with multi-item joint replenishment under stochastic demand, and the coordinated delivery cost is considered. The …

develop a nonparametric learning algorithm termed the $(\delta, S)$ policy that combines the powers of stochastic gradient … important stochastic systems with partial convexity in the objectives …

Purpose: This paper aims to propose a new model called the stochastic green capacitated p-median problem with a … simulation-based optimisation for the stochastic green capacitated p-median problem. There are two main contributions in this …, to design a simulation-based optimisation approach to solve the stochastic green capacitated p-median problem …

. The optimization problems corresponding to the inventory games are formulated as stochastic programs. We observe that the … strong duality of stochastic linear programming not only directly leads to a series of recent results concerning the non …