(Elsevier BV, 2017) Serrano Hernández, Adrián; Faulín Fajardo, Javier; Pintor Borobia, Jesús María; Belloso Ezcurra, Javier; Institute for Advanced Materials and Mathematics - INAMAT2
Facilities location is a strategic decision which has to be carefully considered because it could involve the failure or success of a
business. For that reason, anything that helps decision makers to facilitate their location decision processes is of their utmost
interest. The aim of this paper is, therefore, providing a methodology that could be useful for the decision makers by giving them
not only an optimal point but also a whole region where they can focus on their attention. Knowing that biofuels are settling as a
new alternative energy source which has been spreading around the world to reduce greenhouse gas emissions and oil
dependence, this methodology is tested in the real case of locating a biorefinery in Navarre, Spain. Moreover, A Mixed Integer
Linear Programming (MILP) model has been developed to generate optimal region vertices as well as some other supply chain
characteristics, including, among others, which crops are going to be harvested, when they are going to be collected, and their
storage levels. Additionally, two criteria were implemented in MILP model to create two optimal regions: one considering an
economic criterion and other one minimizing environmental impact. As a result, two regions were drawn in the Navarrese
territory that point out where a biorefinery should be located and how the supply chain should be designed.
