A combined fuzzy PCA approach for location optimization and capacity planning in Glycyrrhizae green supply network design

  • Meisam Nasrollahi Ph.D. candidateat, Industrial engineering school, University of Tehran
  • Jafar Razmi Professor, Industrial engineering school, University of Tehran
  • Reza Ghodsi Professor, Industrial engineering, University of Tehran & Professor, Engineering Department, Central Connecticut State University, USA
Keywords: Location Optimization, Capacity Planning, Principal Component Analyze, Radix Glycyrrhiza


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.

Author Biographies

Meisam Nasrollahi, Ph.D. candidateat, Industrial engineering school, University of Tehran

Meisam Nasrollahi is Ph.D. candidateat the Industrial engineering school of the University of Tehran.  His research area is Healthcare supply network design, green supply chain, transportation network design and time series. He has published several papers in leading journals such as Management Science and Practice, Production & Operations Management, Applied Mathematics in Engineering, Management and Technology.        

Jafar Razmi, Professor, Industrial engineering school, University of Tehran

Prof. Dr. Jafar Razmi is Professor at Department of Industrial Engineering, College of Engineering, University of Tehran. His research area include Supply Chain Management, Production Planning, Operations Management, Operations Research, Health Engineering, etc. He has published in leading journals such as Omega, Transportation Research Part E: Logistics and Transportation Review, Expert systems with applications, Computers & Industrial Engineering, International Journal of Production Research, Soft Computing, International Journal of Production Economics, Journal of Cleaner Production.  

Reza Ghodsi, Professor, Industrial engineering, University of Tehran & Professor, Engineering Department, Central Connecticut State University, USA

Dr. Reza Ghodsi is professor at the Industrial engineering school of the University of Tehran and Mechanical Engineering at the Engineering, Science and Technology school of the Central Connecticut State University in New Britain, Connecticut USA. His research area include Sustainable Energy; Advanced Manufacturing; Rapid Prototyping; Operations Research; Optimization; Data mining and analysis; Health Engineering. He has published in leading journals such as International Journal of Production Research, International Journal of Assembly Automation, International Journal of Management Practice, Expert Systems with Applications, International Journal of Operational Research, and Applied Mathematical Modeling.


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