Minimum-regret Huff location models

• Autores: Lenys Bello Garboza, Rafael Blanquero Bravo , Emilio Carrizosa Priego
• Localización: XXXI Congreso Nacional de Estadística e Investigación Operativa ; V Jornadas de Estadística Pública: Murcia, 10-13 de febrero de 2009 : Libro de Actas, 2009, ISBN 978-84-691-8159-1
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • We addres the following single-facility location problem: a rm is entering into a market by locating one facility in a polygonal region of the plane. The demand captured from each user by the facility will be proportional to the users buying power and inversely proportional to a function of the user-facility distance. Uncertainty exists on the buying power (weight) of the users. This is modeled by assuming that a set of scenarios exists, each scenario corresponding to a weight realization.

    The objective is to locate the facility following the Savage criterion, ie., the minimumregret location is sought. The problem is formulated as a d.c. optimization problem. As a solution technique, a branch-and-bound is proposed. The usefulness of acceleration devises such as local-search optimization routines is analyzed.