Inventory lot-sizing with supplier selection using hybrid intelligent algorithm

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• 作者：Mohammad Reza Sadeghi Moghadam ; Amir Afsar ; Babak Sohrabi
• 关键词：Hybrid intelligent algorithm ; Inventory lot-sizing ; Fuzzy neural network (FNN) ; Genetic algorithm (GA) ; Principle component analysis (PCA)
• 刊名：Applied Soft Computing Journal
• 出版年：2008
• 出版时间：September 2008
• 年：2008
• 卷：8
• 期：4
• 页码：1523-1529
• 全文大小：393 K

文摘

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.