چكيده به لاتين
Paulownia is one of the fastest-growing species of trees that, due to its rapid growth and high value of timber in the market, a wide range of areas in the world are dedicated to planting this tree. A very high potential for energy production (lignocellulosic characteristic), the Paulownia tree is called one of the best biomass energy production options. Tree growth criteria were collected to determine the optimal locations for planting this tree. Due to its geographical nature, the Geographic Information System (GIS) tool was used. Due to the extreme fluctuations in the weather, uncertainty can cause significant disruption to planning.
For this reason, in this study, its uncertainty has been controlled using the Z-number method. According to the results, this method has been more efficient in predicting future weather and controlling its uncertainty than other fuzzy methods. Therefore, by designing the supply chain network and using different methods to reduce costs, we can move to an optimal supply chain network for tree planting, harvesting, storage, and sending for biofuel production. The existing warehouses have been used to lease and build new warehouses in potential locations in a dynamic and dynamic case modeling and study to save costs. Also, due to the high impact of wood moisture content on transportation costs and the risk of firewood in the warehouse, the use of dryers in previous stages has been evaluated to determine their location and the drying level of wood according to the above two cases. Finally, the model was implemented in a practical example in Iran, and its results were examined for planning. This study also showed that dynamic storage locations and the location of dryers would save significantly.
