Agri-food supply chains have received the attention of many researchers in recent years for various reasons, including food security and health-related issues. Wheat, as a staple food in many countries, is the most cultivated crop in the world. Due to the importance of wheat, this paper proposes a mixed-integer linear mathematical model for redesigning and planning of the wheat supply chain. The proposed model determines the location and capacity of new storage facilities while addressing supplier selection, ordering, storing, transportation, and distribution problems. This model considers the differences between long-term and short-term storage facilities and the quality of wheat. Moreover, the proposed model addresses the uncertainties associated with the quantity of domestic supply and demand through a stochastic scenario-based programming approach. Applicability of this model is investigated using real data from the wheat supply chain of Iran. Results show that seven new long-term storage facilities should be opened, which decreases total costs by 3.45 percent.

In this paper, two policies are considered for supporting periodical publications by the government: direct subsidy payment to these publications and opening new facilities which could help with integration and reduce delivery costs. For this aim, a mixed-integer linear mathematical model is presented that minimizes total costs while considering social welfare. The robust programming approach developed by Bertsimas and Sim is used to cope with uncertain parameters. In order to validate the model and investigate its applicability and advantages, the magazines’ subscriptions in Tehran is selected as a case study. The output of the model demonstrates that when social welfare is not considered, the risk-averted supply chain will focus on low-cost areas of the chain, which are the central areas of Tehran. However, when minimum social welfare is assured, the supply chain pays attention to all areas. Also, the government should increase supply capacity by opening new facilities, and it should differentiate between areas when paying direct subsidies.