Baptista, Susana, Ana Paula Barbosa-povoa, Laureano Escudero, Maria Isabel Gomes, and Celeste Pizarro. "
A Metaheuristic for Solving Large-Scale Two-Stage Stochastic Mixed 0-1 Programs with the Time Stochas- tic Dominance Risk Averse Strategy." In
12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. , 857-862. Copenhagen, Denmark : Elsevier, 2015.
AbstractSupply Chain Design problems often result into multiperiod stochastic mixed integer problems that are hard to solve. In this paper we propose a metaheuristic algorithm as a specialization for two- stage problems of the so-named Fix-and-Relax Algorithm presented previously for solving large- scale multiperiod stochastic mixed 0-1 optimization problems under a time stochastic dominance risk averse strategy, so-named TSD. Some computational experience is presented.
Mota, Bruna, Maria Isabel Gomes, Ana Carvalho, and Ana Paula Barbosa-povoa. "
Supply chain design and planning accounting for the Triple Bottom Line." In
12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. , 1842-1846. Copenhagen, Denmark : Elsevier, 2015.
AbstractIn this work, a multi-objective mixed integer linear programming (moMILP) model is presented for the design and planning of sustainable closed loop supply chains. It includes strategic decisions such as facility location, definition of transportation modes, technology selection and allocation, as well as tactical decisions. The model includes four objectives: 1) The economic pillar, measured through the net present value (NPV); 2) the environmental pillar, which includes Life Cycle Assessment (LCA), through the application of the ReCiPe methodology; 3 and 4) The social pillar measured using two socio-economic indicators applied by the European Union in its Sustainable Development Strategy. The applicability of the model is demonstrated through a representative supply chain case study. Results show that the different objectives influence the supply chain structure and translate in significantly different and conflicting decisions, showing the importance of such type of models to better understand the decisions implications on the different dimensions of sustainability.