چكيده به لاتين
Choosing the optimal number of suppliers and how to allocate ordered parts among them is one of the important issues in the world of customer-oriented production. The proposed multi-objective model is investigated by combining this challenge with risk measures and resilience strategies to control and deal with the risk of disruptions at different levels, while considering all possible scenarios. Also sustainability in the supply chain, including economic, environmental and social dimensions, has also been pursued, and in addition, a robust optimization approach in the face of some uncertain and highly volatile parameters, such as the purchase price of parts from suppliers, has been used. The proposed four-objective model, including minimization of cost , risk, carbon emission and job insecurity, has been developed and concluded by the Epsilon Constraint (AEC) method through coding in GAMS software. Finally, by designing a numerical example, the results are analyzed and sensitivity analysis is performed on some parameters.
