چكيده به لاتين
Abstract
Designing a supply chain network for agricultural products has plenty of differences with other products. Factors such as uncertainties in climate conditions, ways of cultivation and production, biodiversity in products and time constraints for cultivation leads to differences in design and modeling. Firstly, related criteria were detected and using Geographical Information System, spatial maps were obtained/collected, then primary candidate points for suitable farmlands were selected by best–worst method. Afterwards a robust possibilistic programming multi objective model was provided. The model determines final price of product in multi levels depending on the amount of demand. The certain model, determines the production rate and specifies the farmlands and warehouses which are activated in each period. Afterwards, due to deal with the uncertainties in parameters, a robust possibilistic programming model is provided. In conclusions the robust model reduces the tolerance of costs. Results of the research have been implemented in a real case in Iran and the outcomes have been verified and validated.
Keywords: agri-food, supply chain design, robust possibilistic programming, multi objective optimization
