Target-based planning of ordering solutions for manufacturing companies

Abstract

Using the idea of mathematical modeling, we study the ordering problem of raw materials in manufacturing enterprises and develop the best ordering and transportation plan for enterprises through models such as goal planning, which provides a certain degree of reference value for the development decisions of the same type of enterprises. Firstly, the supplier supply characteristics of 402 enterprises are quantitatively evaluated, and in the process of quantitative analysis, the supplier supply characteristics indicators are derived through the analysis and pre-processing of data, followed by the establishment of evaluation index systems and guaranteed enterprise production models through different supply characteristics respectively, followed by the use of entropy weighting method to assign weights to the supply characteristics indicators, and finally the TOPSIS method is used to quantify the supply characteristics to determine the 50 most important suppliers. Then the objective planning model is established to determine the minimum number of suppliers and the most economical ordering scheme, and the optimization model is established to solve the problem, and the 0-1 integer planning mode and the approximate bundle condition are used to develop the transit scheme.