Designing a Closed-loop Green Supply Chain in the Face of Competitive Demand and Product Pricing Simultaneously Using the Frog Jump Algorithm

In this study, after a detailed and detailed review of past research in the field of supply chain, the research gap and its innovation were identified. The research innovation involved considering demand behavior as a function of product prices in competitive conditions and based on that, the aim was to develop a mathematical model to design a closed loop supply chain in competitive conditions. In such a price chain, it is a fundamental factor that can determine the amount of demand and consequently change the structure of the chain. For this purpose, in the third chapter, first a function between the amount of demand and the price of products was presented. Then, by completing the research assumptions, a two-objective mathematical model of the research was presented. The first goal is to reduce costs and increase chain revenue. In other words, the first goal is to maximize supply chain profits. The second goal is to focus on market share, and by increasing the desirability of sales centers, we seek to maximize market share. By presenting such a model, it is necessary to provide techniques for achieving several goals. In this regard, the SFLA algorithm to solve this mathematical model was described. This method is a new meta-heuristic algorithm based on the behavior of frogs. For this purpose, first, by solving the model as a one-objective, the model was validated and the results were proved to be correct, logical and reliable.