A Multi-site Supply Chain Planning Using Multi-stage Stochastic Programming
作者： Houssem Felfel , Omar Ayadi , Faouzi Masmoudi
DOI: 10.1007/978-3-319-14532-7_30
关键词:
摘要: This study focuses on a multi-product, multi-period, multi-site supply chain planning problem under demand uncertainty. A multi-stage stochastic linear programming model is proposed to maximize the expected profit. The decisions be made comprise production amount, inventory and backorder sizes as well quantity of products transported between upstream downstream plants customers in each period. numerical example presented order illustrate effectiveness model. Results indicate that solution outperforms deterministic two-stage models.
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sci-hub.se 参考文章(15)
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