Optimization of Tehran Province Foodshed
Subject Areas : Optimal use of natural resourcesMaryam Akbarpoor 1 , Abdolmajid Mahdavi Damghani 2
1 - PhD Student, Department of Ecological Agriculture, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran
2 - Associate Professor, Department of Ecological Agriculture, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran
Keywords: food security, linear programming, localization, optimization, food basket, sustainable agriculture, plant equalization.,
Abstract :
This research proposes an optimization model for investigating foodsheds in Iran. This model was used in Tehran province. In our country, no research has been done on the optimization of foodsheds. The purpose of the optimization process in this research is to allocate the optimal food basket produced from the origin (four production areas of Tehran province) to the destination (16 consuming cities of Tehran province) by applying the minimum distance. optimization was done with the help of Lingo software to allocate the food produced in the studied area in order to meet food needs of the relevant population in the shortest possible distance. Also, the average distance between food producer and consumer was estimated according to the amount of allocation. According to the objective function (minimization of the distance) and the input data (supply and demand), the Lingo software has allocated the entire production of the province, which is supplied from four regions, to the demand regions. The act of allocation has been done according to the smaller distance and more demand, that is, the allocation has been made to the points that have the least distance to the supply points (they are closer and as a result the cost is reduced) and also their needs are more. Therefore, by examining the transportation routes from the producer to the consumer, the amount of food allocation (with the minimum distance) and the average distance between the producer and the consumer, the policies of the Food, agriculture and also the environment will be done with a broader view.
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