A combined fuzzy PCA approach for location optimization and capacity planning in Glycyrrhizae green supply network design
Selecting proper location for Glycyrrhiza farms is very important in obtaining the best quality in Glycyrrhiza cultivation and at the other hand, optimized capacity planning can cause significant reduction in cultivation costs. In this paper, we consider economic factors, social effects, cultivation condition and environmental issues for Location Optimization and Capacity Planning (LOCP) of Glycyrrhiza. Fuzzy principal component analysis (PCA) is used to address the problem complexity. Next, we develop a multiple objective mathematical model to calculate the amount of land assigned for Glycyrrhiza cultivation in each area. Then, we use epsilon-constraint method for solving the model. Finally, the proposed approach is applied in the country of Iran. Results illustrates which provinces are the best for Glycyrrhizae cultivation. Moreover, the optimized amount of Glycyrrhizae cultivation in each area is identified, using the mathematical model suggested here.
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