A novel hybrid approach for synchronized development of sustainability and resiliency in the wheat network

In addition to the great importance of minimizing total cost, resiliency and social indicators have a special place in the agricultural food supply chain. In this respect, a novel multi-objective model is developed that addresses the design/redesign wheat supply chain network, which comprises several suppliers, existing silos, candidate locations for establishing silos, flour factories, and demand zones in an uncertain environment. To develop the mathematical model, two additional and essential dimensions of the supply chain including social impact and resiliency are simultaneously considered. This model is the integration of several proper indicators of resiliency, social responsibility dimensions through considering three objective functions to minimize the cost, non-resiliency, and negative impacts of social responsibility. Due to the fact that input parameters taint with inherent uncertainty, a hybrid stochastic fuzzy-robust programming is introduced, and four different hybrid approaches are developed. Finally, to demonstrate the superiority of the proposed model as well as solution methodology, a real case study is provided. The obtained results show that simultaneously considering cost, resiliency, and social impacts can significantly assist to improve the performance of the wheat supply chain. Moreover, making trade-off between mentioned measures can help the decision-makers to have the principled preference.