The Research On Ordering Strateies Of Third-Part Logistics Base On Stochastic Inventory Theory And Queuing Theory

In order to make greater achievements in their core businesses, various types of enterprises have begun to attach importance to cooperation between each other, the concept of supply chain emerge as the times require. This article is written under such a background:the concept of supply chain is getting more and more importance and more and more companies use this theory into their work.Through a case, this article introduces a question about extra order happening frequently and then analyzes possible reasons. Then begin with ordering strategies, it try to selects some usable theoretical model and analyzes the specific data to find a relatively optimized and effective project.In this article, manufacturers, suppliers and the third-part logistics (TPL) will be involved. It probably uses these theories such as vendor managed inventory (VMI), demand forecast, storage theory, queuing theory and so on. TPL implements VMI instead of manufacturer and supplies goods to manufacturer in shortage which leads the defect of ordering strategies from TPL to suppliers. Then on base of the randomness and stability of demand, it needs to select a proper method from random storage models to be analyzed.The final solution adopts (s, S) model and its theory. Firstly it needs to confirm the quantity S of inventory, using the principle of cost optimization. And then it needs to confirm the order point s and safety stock, using M/D/1model of queuing theory. Only in this way, it can optimize the reason on the whole.This article adopting the structural pattern of "introduce a question-analyze reasons-select solution-data demonstrate", is a practical use about (s, S) model and queuing theory. It describes the practical meaning of these theories and discusses their feasibility.