پديدآورندگان :
Rabbani Masoud School of Industrial and System Engineering, College of Engineering, University of Tehran,Tehran, Iran , Rudneshin Maryam rudneshinmaryam@yahoo.com School of Industrial and System Engineering, College of Engineering, University of Tehran,Tehran, Iran , Zandi Atashbar Nasim School of Industrial and System Engineering, College of Engineering, University of Tehran,Tehran, Iran , Kazemi Seyed Mahmood School of Industrial and System Engineering, College of Engineering, University of Tehran,Tehran, Iran , Farshbaf-Geranmayeh Amir School of Industrial and System Engineering, College of Engineering, University of Tehran,Tehran, Iran
كليدواژه :
Biomass , Biofuel supply chain , facility location , depreciation , Genetic Algorithms.
چكيده فارسي :
Within the concern of renewable energy technologies, biofuel can play a decisive role during the next decades. It is essential to design an efficient biomass-based bioethanol supply chain and effectively manage the logistics operation. This paper proposes a mathematical model to determine the optimal comprehensive supply chain of biomass to maximize the total Net Present Value (NPV) and tax saving by considering the facilities location. The model was formulated as a mixed integer non- linear programming, determining the locations of bioenergy, the size of harvesting team, the types, amounts of biomass harvested, stored, processed in each month, the transportation of biomass in the system, timing of the switch from one type depreciation to another (Straight Line Depreciation (SL) and Double Decline Balance (DDB)) and so on. Genetic Algorithm (GA) is used for solving the problem because of its ability to deal with large size.
