Modeling and Optimization of Chemical Fertilizers Supply Chain using Hybrid Whale Optimization and Simulated Annealing

Iranian Journal of Optimization

دوره 14، شماره 4، اسفند 2022

نوع مقاله: Research Paper

نویسندگان

Motahareh Rabbani¹؛ Seyyed Mohammad Hadji Molana^{* 1}؛ Seyed Mojtaba Sajadi²؛ Mohammad Hossein Davoodi³

¹Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

²School of Strategy and Leadership, Faculty of Business and Law, Coventry University, Coventry, UK

³Soil and Water Research Institute, Karaj, Iran

چکیده

Phosphorus is a basic constituent of chemical fertilizers and plays a pivotal role in crop yield enhancement in agriculture systems. Considering the growing demands for phosphorus and the limited resources of this vital substance, sustainable supply chain management (SCM) of chemical fertilizers is of great importance. In the present study, a mathematical model for sustainable chemical fertilizer SCM is presented. Taking into account the adverse environmental effects of the production and consumption of chemical fertilizers, the present study attempts to design a sustainable SCM concerning economic, environmental, and social factors. To solve the problem, a hybrid metaheuristic algorithm incorporating whale optimization and simulated annealing is used considering a multi-objective function. The simulation results obtained from a real case study of the chemical fertilizers supply chain network in Iran proved the effectiveness and applicability of the proposed model and solution method. Obtained results show the effectiveness of the proposed method compared with other algorithms with respect to economic, social, and environmental factors.

کلیدواژه‌ها

Chemical fertilizers؛ Phosphorus؛ Sustainable supply chain management؛ Whale optimization algorithm؛ Simulated annealing