Provide a Model in Determining the Impact of Block-Chain Technology on Supply Chain Performance Using Fuzzy Inference Systems in the Automobile Industry

In this article,A markdown pricing strategy has been used to achieve the maximum profit from the sale of perishable products. Because perishable products after a period of time and corruption is formed, so they are not attractive to the customers and the demand for these products decreases. Demand can be increased with a markdown pricing strategy. Also, as sales increase, waste will decrease and so, wastage cost will diminish .Therefore, total profit will increase. The problem is that if the discount is not provided at the right time and in the optimal amount, we will not reach the goal of achieving maximum profit. So, in this article, we seek to determine the optimal discount time and the optimal discount amount with the aim of maximizing the total profit of the firm. In this article, the demand function depends on two factors: the selling price and the displayed stocks, final inventory level is non-zero and the deterioration rate is fixed. After solving the model from the exact approach and numerical example, the example was solved using Genetic Algorithm, Simulated Annealing Algorithm and the results were compared, then sensitivity analysis of the key system parameters is carried out.