A Multiobjective Approach for a Dynamic Simple Plant Location Problem under Uncertainty

摘要

Location problems are, by nature, strategic decisions since facilities will usually be in operation in the medium and long terms. It is necessary to decide today, given the available information, knowing that the consequences of today's decisions will remain in time. Having to include in the decision making process data that will only be known with certainty in the future does not advise the use of deterministic models: the existing uncertainty should be explicitly included in the models. The notion of optimal solution becomes fragile: it will be difficult to find a single solution that is the best in all possible future realizations of uncertainty. In this paper we consider a dynamic simple plant location problem, where uncertainty is explicitly considered through the use of scenarios. We advocate the use of a multiobjective approach as a valuable tool in guiding the decision-making process, iteratively or as an off-line generation procedure.