Séminaire conjoint CIRRELT-Chaire de recherche du Canada en distributique-Chaire de recherche du Canada en logistique et en transport

TITRE : Robust uncapacitated hub location

CONFÉRENCIER : Carlos Zetina, Université Concordia, Canada

DATE and ENDROIT : 3 décembre 2015, 10h30, salle 5441, Pavillon André-Aisenstadt, Campus de l’Université de Montréal

RESPONSABLE : Jean-François Cordeau

RÉSUMÉ : A common shortfall in applying optimization methods in practice is the lack of or inaccuracy in data needed for the model. In response to this, the OR community has developed new approaches that incorporate this data uncertainty into the model and provide solutions that are optimal in a risk neutral (stochastic optimization) and worst case scenario (robust optimization). In this talk we present a robust optimization approach to the well-known uncapacitated hub location problem with multiple assignments in which the level of conservatism can be controlled by means of a budget of uncertainty. Three scenarios of parameter uncertainty are assumed. These are: uncertain demand quantities, transportation costs and both simultaneously. We study the characteristics of the solutions and compare them with those obtained from a commensurable stochastic model.