Multi-Echelon Inventory Management Based On Signal Processing

Traditional inventory management optimizes mainly from the point of single-product inventory,but from the angle of whole supply chain,the management method of single-product inventory is not enough.Supply chain inventory management doesn't only involves a number of departments of enterprise,but also other many enterprises outside,it expands from the functional management in enterprise to inventory management among the enterprises.Therefore,researching to the inventory cost under supply chain has profound meaning.The article is on the basis of summarizing the method of traditional inventory management,using digital signal processing technology to optimize and solve the model,deal with and fit to the images.Then,it obtains good effects in the whole process.Also,it offers a new thought and method for controlling of multi-Echelon inventory from the images processing point of view later.Utilizing signal processing technology,the article strengthens the feasibility and visibility in the process of solving.Meanwhile,some complicated and not been clearly mentioned models are easily stated in the course of image processing,and understood fully at one glance.The full article studies the cost of manufacturers,distributors and retailers separately(including ordering cost,holding cost,transportation cost and shortage cost) in the whole supply chain.It aims to seek the smallest inventory cost of the chain under the three interacts.For researching the two important variations of restricting inventory cost(period in advance and requirement),general practice is to fix one of the two to establish the model of inventory cost before,to make inventory cost smallest.However,the article derives the model of inventory cost under the condition of the two variations random,to reach the smallest cost.From the whole angle of supply chain to research inventory cost,it deduces the huge cost because of single node pursuing own cost.Therefore,to research the inventory cost under supply chain and to achieve the whole chain optimized have important theoretical and realistic significance.