the use of internet of things and big data in the food bank supply chain problem: a case study of tehran municipal districts

Today, due to financial crises and successive droughts, collecting and distributing food with high nutritional value and freshness for the homeless and low-income people has become a global issue. therefore, most countries are trying to manage this issue by creating centers called food banks. the importance of the food bank issue has led to the modeling of the food bank network issue based on iot and big data in this article. the problem of the studied food bank network consists of a set of donors, food banks and charities. in this network, donors provide food needed by charities for free. food banks also distribute food collected from donors to charities. the purpose of presenting this model is to reduce the costs of the entire food bank network along with reducing the maximum unmet demand. the results of the model analysis on a case study in iran show that with the reduction of the shortage in the network, the total costs increase. so that the results of the mathematical model in a case study in tehran metropolis showed that three areas 11, 15 and 19 were selected as food banks and 12 vehicles are needed. in this study, 10 different efficient solutions were obtained with lp-metrics and 11 different efficient solutions were obtained with sum weight method (swm). also, if the amount of demand increases, in addition to increasing the shortage in the network, the costs related to transportation and providing food needed by charities have also increased.