Design an agent-based model of the supply chain of perishable goods in the conditions of specific disruptions

The primary goal of this study is to design an agent-based model of the supply chain for perishable goods during the occurrence of specific disruptions. this study is practical in terms of aim and qualitative in terms of data collection method. to validate the model, the views of the statistical population including prominent university professors and manufacturers of perishable goods and experts with experience and expertise in the area of specific disruptions of the perishable goods supply chain were used. additionally, the snowball method was used to select the sample. in total, the views of 18 experts were used. agent-based modeling was done using netlogo software. in this modeling, all supply chain disruptions of perishable goods such as disruptions at the macro level (change in consumer behavior), demand, production, supply, transportation, information, and financial were considered. also, according to each disruption, strategies to mitigate the effects such as blockchain, robotics, etc. were determined. the results of agent-based modeling show that the simultaneous use of different strategies in the perishable goods supply chain during the occurrence of specific disruptions significantly reduces the effects of specific disruptions on the perishable goods supply chain. vaccination along with the application of other strategies such as the use of blockchain, robotics, discounts, subsidy, online purchase methods, non-cash payment methods, awareness of product safety, green packaging, and employee safety and health have significantly reduced the effects of specific disruptions on the perishable non-necessary goods supply chain. in addition, according to the findings of the research, among the various strategies, the discount has played the most significant role in reducing the influences of specific disruptions on the supply chain of non-necessary perishable goods.