Multifacility location with imprecise data

Abstract

Locational decisions often suffer from lack of precise data. In this study, we consider a class of multifacility location problems where the demands of existing and new facilities are unknown, with a known set of possible realizations. The set may be finite or infinite. In the latter case, the data is assumed to be of interval type. We use various criteria to evaluate candidate solutions to these problems and build a framework for decision making.