This paper provides a review on recent efforts and development in multi-criteria location
problems in three categories including bi-objective, multi-objective and multi-attribute …

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 mathematical science of facility siting has attracted much research in discrete and
continuous optimization over nearly four decades. Investigators have focused on both …

Research on facility location is abundant. However, this research does not typically address
the particular conditions that arise when locating facilities to service large-scale …

This chapter reviews the location set covering model, maximal covering model and P-
median model. These models form the heart of the models used in location planning in …

Supply chains are prone to several operational and disruption risks. In order to design a
resilient supply chain network capable of responding to such potential risks suitably, this …

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 …

The two most widely considered measures for optimization under uncertainty are minimizing
expected cost and minimizing worst-case cost or regret. In this paper, we present a novel …

We study the stochastic transportation-inventory network design problem involving one
supplier and multiple retailers. Each retailer faces some uncertain demand, and safety stock …

The goal of the paper is to provide an overview of the following classes of models: Gradual
cover models: These models seek to relax the “all or nothing” assumption by replacing it with …