Discrete location problems with push–pull objectives

Discrete location problems with push-pull objectives

Multicriteria network location problems with sum objectives

In this paper network location problems with several objectives are discussed, where every single objective is a classical median objective function. We will look at the problem of nding Pareto optimal locations and lexicographically optimal locations. It is shown that for Pareto optimal locations in undirected networks no node dominance result can be shown. Structural results as well as eecien...

Closest assignment constraints in discrete location problems

The objective of this paper is to identify the most promising sets of closest assignment constraints in the literature of Discrete Location Theory, helping the authors in the field to model their problems when clients must be assigned to the closest plant inside an Integer Programming formulation. In particular, constraints leading to weak Linear Programming relaxations should be avoided if no ...

A Survey of Discrete Facility Location Problems

Facility location is a complex real-world problem which needs a strategic management decision. This paper provides a general review on studies, efforts and developments in Facility Location Problems which are classical optimization problems having a wide-spread applications in various areas such as transportation, distribution, production, supply chain decisions and telecommunication. Our goal ...

Multicriteria Semi-Obnoxious Network Location Problems (MSNLP) with Sum and Center Objectives

Locating a facility is often modeled as either the maxisum or the minisum problem, re ecting whether the facility is undesirable (obnoxious) or desirable. But many facilities are both desirable and undesirable at the same time, e.g. an airport. This can be modeled as a multicriteria network location problem, where some of the sumobjectives are maximized (push e ect) and some of the sum-objectiv...