Location-allocation analyses incorporated with cost function to public medical facilities

A cost operator approach to multistage location-allocation

Improved Bounds for Facility Location Games with Fair Cost Allocation

We study Facility Location games played by n agents situated on the nodes of a graph. Each agent orders installation of a facility at a node of the graph and pays connection cost to the chosen node, and shares fairly facility installation cost with other agents having chosen the same location. This game has pure strategy Nash equilibria, that can be found by simple improvements performed by the...

Priorities in the location of multiple public facilities

A collective decision problem is described by a set of agents, a pro…le of single-peaked preferences over the real line and a number k of public facilities to be located. We consider public facilities that do not su¤er from congestion and are non-excludable. We provide a characterization of the class of rules satisfying Pareto-e¢ ciency, object-population monotonicity and sovereignty. Each rule...

Robust uncapacitated multiple allocation hub location problem under demand uncertainty: minimization of cost deviations

The hub location–allocation problem under uncertainty is a real-world task arising in the areas such as public and freight transportation and telecommunication systems. In many applications, the demand is considered as inexact because of the forecasting inaccuracies or human’s unpredictability. This study addresses the robust uncapacitated multiple allocation hub location problem with a set of ...

Ethics of cost analyses in medical education

Cost analyses in medical education are rarely straightforward, and rarely lead to clear-cut conclusions. Occasionally they do lead to clear conclusions but even when that happens, some stakeholders will ask difficult but valid questions about what to do following cost analyses-specifically about distributive justice in the allocation of resources. At present there are few or no debates about th...