MATHEMATICAL MODELLING OF SOCIO-ECONOMIC PROCESSES AND SYSTEMS
An approach for design and management of a supply chain for biodiesel production taking into account the uncertainties at two scenarios with different locations of the fuel blending centers
This study proposes a mixed integer linear programming (MILP) approach to the design and management of the biodiesel / diesel (SC) supply chain. The approach was applied to two scenarios with different locations of the fuel blending centers. For both scenarios, optimization problems were formulated and solved while satisfying environmental and economic criteria. The latter are defined in terms of minimum total costs and minimum greenhouse gas emissions generated during the performance of all activities included in the supply chain. The approach was applied to a real case from Bulgaria, where its 27 administrative regions were considered. An analysis was carried out in terms of uncertainties regarding the obtained optimal routes for transportation of raw materials and products, the optimal quantities of feedstocks for cultivation and optimal quantities of biodiesel produced, which is transported to the search areas under both scenarios.