Research on Product ordering and Transit Scheme based on PCA and Multi-objective programming

Due to the long order lead time of the construction and decoration plate production enterprises, the suppliers often fail to deliver the goods in time, which affects the production of the enterprises. At the same time, the overall inventory of the supply chain occupies a large scale, and the capital turnover pressure of plate enterprises is great. First of all, this paper selects the relevant indicators and makes a quantitative analysis of each index with the help of PCA method, and quantifies the order satisfaction rate, supply variance and supply mean. Then this paper uses the principal component analysis PCA method to determine the weight of the above three indicators, in which the order satisfaction rate accounts for the largest weight. On this basis, the quantitative evaluation index system of supplier guarantee enterprise production is established, and the top 50 most important suppliers are solved. This paper constructs the quantitative index system of supplier guarantee enterprise production and the minimum loss of transporters, gives the solution of the optimal supplier and transporter, and sets up the most economical ordering strategy and transshipment strategy. Then the minimum number of transshipment merchants is solved by 0-1 model, and it is found that at least 17 enterprises can meet the demand of production. We establish the most economical raw material ordering strategy based on multi-objective programming model. For the transshipment strategy, by adding the loss rate index optimized by the normalized transshipment number factor, the transfer scheme with the least loss is established based on the dynamic programming strategy, and the optimal transshipment strategy is obtained.