Abstract
Over the years, economic, environmental, and social challenges in the food sector have led researchers to focus on research on incorporating sustainability concepts into the design of food supply chains. This paper presents a new multi-objective model, using stochastic mixed-integer linear programming to design a sustainable agri-food supply chain network under an uncertain environment. Moreover, the presented model is applied to a Canadian soybean company. Total profit, total job opportunities, and CO2 emissions are three objective functions in this model. Furthermore, to facilitate the decision-making process for decision-makers, the multi-objective model is solved using the augmented ε-constraint method. The results show that the model can perform well in an uncertain environment. Finally, the obtained results indicate the model’s significance in incorporating all three sustainability dimensions for studying food supply chains.
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Sharifi, E., Amin, S.H., Fang, L. (2023). A Stochastic Multi-objective Model for Sustainable Soybean Supply Chain Network Configuration. In: Calisir, F., Durucu, M. (eds) Industrial Engineering in the Covid-19 Era. GJCIE 2022. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-25847-3_22
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DOI: https://doi.org/10.1007/978-3-031-25847-3_22
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