Abstract
Supply chain network design (SCND) nowadays represents an important part of Supply Chain Management (SCM) aiming to design a network such that to reduce the cost of the supply chain determined by the location of facilities and the flow of product between the selected facilities. In this paper we investigate a particular SCND, namely the two-stage supply chain network design problem with risk-pooling and lead times. We provide a mathematical model for this problem and as well a solution approach based on genetic algorithms for solving the problem. Computational experiments were performed on a set of instances and the obtained results prove that our proposed genetic algorithm provides good solutions within reasonable running times.
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Cosma, O., Pop, P., Sabo, C. (2021). Solving the Two-Stage Supply Chain Network Design Problem with Risk-Pooling and Lead Times by an Efficient Genetic Algorithm. In: Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H., Corchado, E. (eds) 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). SOCO 2020. Advances in Intelligent Systems and Computing, vol 1268. Springer, Cham. https://doi.org/10.1007/978-3-030-57802-2_49
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DOI: https://doi.org/10.1007/978-3-030-57802-2_49
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