Abstract: Because the optimized inventory in traditional supply chain model has poor information, it becomes more difficult to obtain optimal solution complying with the practical requirements during finding, solutions to supply chain patterns. This article is intended to analyze the operational mechanism of optimized inventory in both traditional enterprises and supply chain management. Also，this article put forward to improve traditional inventory patterns with the aid of multiple-layer BP neural network so as to acquire much more satisfactory optimum tactics of inventory. This article, meanwhile, engaged in an application in accordance with specific conditions of a certain steels available company.
Key Words: Supply Chain, SCM, Inventory, BP Neural Network, Optimized
摘要：傳統(tǒng)供應(yīng)鏈模式下的庫存優(yōu)化由于缺乏必要的信息，在模型的求解過程中難以得到符合實際要求的最優(yōu)解。本文分析了傳統(tǒng)企業(yè)庫存優(yōu)化與供應(yīng)鏈管理環(huán)境下庫存優(yōu)化的運作機理，提出在供應(yīng)鏈管理環(huán)境下可以借助多層BP神經(jīng)網(wǎng)絡(luò)改進(jìn)傳統(tǒng)庫存模型，以得到更為滿意地最優(yōu)庫存策略。并依據(jù)某一鋼材現(xiàn)貨公司的庫存情況給出具體的應(yīng)用。
關(guān)鍵詞：供應(yīng)鏈 供應(yīng)鏈管理 庫存 BP神經(jīng)網(wǎng)絡(luò) 優(yōu)化