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Inventory lot-sizing with supplier selection using hybrid intelligent algorithm
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DOI：10.1016/j.asoc.2007.11.001.png)
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In supply chain management (SCM), multi-product and multi-period models are usually used to select the suppliers. In the real world of SCM, however, there are normally several echelons which need to be integrated into inventory management. This paper presents a hybrid intelligent algorithm, based on the push SCM, which uses a fuzzy neural network and a genetic algorithm to forecast the rate of demand, determine the material planning and select the optimal supplier. We test the proposed algorithm in a case study conducted in Iran. (C) 2007 Elsevier B.V. All rights reserved.
Keyword:
hybrid intelligent algorithm
inventory lot-sizing
fuzzy neural network (FNN)
genetic algorithm (GA)
principle component analysis (PCA)
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IF:
6.6
论文数:
1.4W
被引数:
4.8W
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