The design of the distribution system is a strategic issue for almost every company. The
problem of locating facilities and allocating customers covers the core topics of distribution …

Plants, distribution centers, and other facilities generally function for years or decades,
during which time the environment in which they operate may change substantially. Costs …

The aim of stochastic programming is to find optimal decisions in problems which involve
uncertain data. This field is currently develo** rapidly with contributions from many …

Uncertainty is one of the characteristics of product recovery networks. In particular the
strategic design of their logistic infrastructure has to take uncertain information into account …

Shelters are safe facilities that protect a population from possible damaging effects of a
disaster. For that reason, shelter location and traffic assignment decisions should be …

We study stochastic uncapacitated hub location problems in which uncertainty is associated
to demands and transportation costs. We show that the stochastic problems with uncertain …

This study proposes two location–allocation models for handling uncertainty in the strategic
planning of hospital networks. The models aim to inform how the hospital networking system …

We study a distributionally robust version of the classical capacitated facility location
problem with a distributional ambiguity set defined as a Wasserstein ball around an …

Having a reliable supply chain network is one of the most effective ways to plan and deal
with facility failures and demand uncertainty due to very limited options available in a facility …

In this paper, we present a stochastic version of the location model with risk pooling (LMRP)
that optimizes location, inventory, and allocation decisions under random parameters …