چكيده به لاتين
Biodiesel, a clean renewable fuel, has recently attracted much interest as an appropriate alternative for the fossil diesel which is mostly consumed in the transportation sector. Meanwhile, Jatropha Curcas L. (JCL) has emerged as one of the most promising and sustainable biofuel feedstocks due largely to its outstanding characteristics such as high oil content, multi-purpose plant, long drought tolerate, soil reclamation, compatibility with arid and semi-arid lands, rural development and environmental contributions. This study presents a two-stage stochastic programming model for the design of an integrated green biodiesel supply chain network (BSCN). The proposed model is an extension of a scenario-based programming, and incorporates min-max relative regret in a soft-worst case framework. The concerned BSCN design is an environmental friendly mixed integer linear programming (MILP), multi-echelon, multi-period and multi-product model that is able to optimize both the strategic and tactical level decisions of a BSCN. Given the natural variability of long-term decision-making, fuel demand and JCL tree yielding are subject to uncertainty in the concerned model. The applicability of the proposed BSCN design is demonstrated through a case study in Iran under real assumptions. The acquired results and their analyses acknowledge the efficiency and strength of the rendered BSCN design.
