Document Type : Research Paper
Authors
1
PhD of Industrial Engineering, Department of Industrial Engineering, Faculty of Engineering and Technology, Imam Hossein (AS) University, Tehran, Iran
2
Assistant Professor, Department of Industrial Engineering, Faculty of Engineering and Technology, Imam Hossein (AS) University, Tehran, Iran
3
Assistant Professor, Department of Logistics Management, Faculty of Management and Strategic Planning, Imam Hossein (AS) University, Tehran, Iran
4
Master of Science in Nutrition, Department of Nutrition and Food Hygiene, Faculty of Health, Baqiyatallah University, Tehran, Iran
10.22084/ier.2025.30040.2181
Abstract
In today's world, one of the basic problems of mankind is to provide food needs, so that food security and quality increase are the important goals of governments. Factors affecting food security include the availability of food (availability), the financial ability to access food, the usefulness of food (quality) and the sustainability of food security over time through the management of Economic and social considerations, water resources and soil quality. The current research presents and solves a model for the design of the supply chain network of basic food products considering the aspects of food security and the contractual approach. The supply chain network studied in this research includes suppliers (oilseeds), producers (rapeseed and sunflower oil) and two types of customers. In this research, first by reviewing past researches, the dimensions of food security and factors affecting the food security chain were identified. Then, two questionnaires were compiled to conduct field research. Through the initial questionnaire, the dimensions of food security and related criteria were approved by research experts, and then using the final questionnaire, the most important factors affecting the food security of the studied supply chain were identified. In the next step, based on the identified factors, the mathematical model for the supply chain based on the contractual approach and supporting domestic production was created and solved. The problem was solved in small dimensions using the "comprehensive criterion" method. The multi-objective mathematical model presented in this research is a type of NP-hard problem, so multi-objective simulated annealing meta-heuristic algorithm (MOSA) and multi-objective genetic algorithm (NSGA-II) were used to solve the model. For the purpose of validation, the results of these algorithms have been compared with the exact solution results of the comprehensive criterion method. Also, the results of two algorithms, MOSA and NSGA-II, have been compared with each other, and the results of the comparisons show the better performance of the meta-heuristic algorithm of MOSA. Numerical results also showed that the product flow rate in the fourth and fifth period increases significantly. By examining parametric analysis and Pareto solutions, it was also determined that the profits of the supply chain members are aligned and that customer satisfaction also increases with the increasing in the profits of the supplier and the producer.
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