This work deals with a facility location problem in which location and allocation
(transportation) policy is defined in two stages such that a first-stage solution should be
robust against the possible realizations (scenarios) of the input data that can only be
revealed in a second stage. This solution should be robust enough so that it can be
recovered promptly and at low cost in the second stage. In contrast to some related
modeling approaches from the literature, this new recoverable robust model is more general …

In many real-world applications, when modeling network and transportation planning
problems, one looks for solutions that should be robust for many different scenarios. For
instance, when planning the location of medical service facilities and the corresponding
allocation of urban areas to them, decision makers should make decisions before knowing
with complete certainty potential location of facilities, or complete demographic
characteristics of the surrounding areas. Such kind of uncertainty might arise in dynamic …