Given Q different objective functions, three types of single-facility
problems are considered: lexicographic, Pareto and max ordering proble
ms. After discussing the interrelation between the problem types, a co
mplete characterization of lexicographic locations and some instances
of Pareto and max ordering locations is given. The characterizations r
esult in efficient solution algorithms for finding these locations. Th
e paper relies heavily on the theory of restricted locations developed
by the same authors, and can be further extended, for instance, to mu
lti-facility problems with several objectives. The proposed approach i
s more general than previously published results on multicriteria plan
ar location problems and is particularly suited for modelling real-wor
ld problems.